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AGI in 4 Years – How can you keep up with what is coming.

Demis Hassabis Says AGI Is 4 Years Away — Here’s How to Not Get Left Behind

At Google I/O 2026, Google DeepMind CEO and Nobel laureate Demis Hassabis said something that’s been echoing across the AI world ever since: that we may be as close as 4 years away from artificial general intelligence (AGI) — AI that can match or exceed human ability across virtually any task. He described the moment as standing in the “foothills of the singularity.” In follow-up interviews with Axios and others, he pointed to fast-accelerating AI agents as a sign the industry may be on the right technical path — while still framing his broader estimate as somewhere around 2029-2030.

Whether it lands in 4 years or takes longer, one thing is clear: the people who prepare now will be in a completely different position than those who wait and see. Here are 10 ways to adapt and grow with AI instead of being replaced by it.

1. Become the AI Operator, Not the Bystander

Learn to direct AI tools inside your actual job — prompting, editing, verifying — so you’re running the workflow, not being automated out of it. The tasks most at risk are the ones AI can complete end-to-end without supervision.

2. Sharpen Judgment and Taste

AI can generate a hundred options fast. It can’t tell you which one is right for this client, this culture, this moment. Your ability to evaluate and choose is the scarce skill now — and it gets more valuable, not less, as AI gets smarter.

3. Learn Prompt Engineering as a Real Skill

Not just “how to ask ChatGPT things” — structured thinking: breaking problems into steps, specifying constraints, iterating on output. If AGI does arrive within a few years, the people fluent in directing AI systems will adapt fastest.

4. Specialize in What AI Can’t Fully Model

Deep, idiosyncratic expertise — legal nuance, medical judgment, local market knowledge, a specific craft — is much harder to replace than generalist knowledge work, even by a highly capable general system.

5. Own the Relationship, Not Just the Output

Clients and employers pay for trust and accountability. Someone still needs to be the human who says “I stand behind this” when things go wrong — no AGI timeline changes that.

6. Get Fast at Learning New Tools

Specific AI tools will keep changing, especially if the pace Hassabis describes is real. The future-proof skill is picking up a new tool’s logic quickly and discarding what doesn’t work.

7. Move Upstream: Design Systems, Not Just Tasks

Instead of doing every task yourself, build the workflow or pipeline that produces the work at scale. Systems-thinkers direct AI; task-doers compete with it directly.

8. Build a Reputation AI Can’t Impersonate

AI can mimic style, but it can’t replicate earned credibility or a genuine relationship with an audience. Audience trust and a recognizable voice are durable moats, AGI or not.

9. Use AI to Do More, Not to Do Less

The safest path isn’t “let AI handle it so I can slow down” — it’s “let AI multiply my output so I can take on more ambitious work than before.” If Hassabis is right about the timeline, ambition compounds faster now than ever.

10. Teach or Explain AI to Others

There’s a growing gap between what AI can do and what most people know how to use it for. Translating that capability into practical value for non-experts is itself a durable, in-demand skill — and it only gets more valuable as the technology accelerates.

Worth noting: Hassabis isn’t the only voice in this conversation, and not everyone agrees on the timeline. Some researchers put AGI a decade or more away, and definitions of “AGI” itself still vary widely across the industry. But even the more cautious voices agree the direction is the same — which is exactly why the 10 steps above matter regardless of the exact date.

Disclaimer: This content is for informational and educational purposes only and does not constitute career, financial, or legal advice.

The best FREE alternatives to paid tools!

10 Free AI Tools That Actually Replace Paid Ones

Real free alternatives to popular paid AI tools — with an honest badge on how “free” each one really is.

🟢 Unlimited = no cap, ever
🟠 Daily Reset = free quota refreshes every day
🟡 Monthly Reset = free quota refreshes every month
🔴 One-Time Credits = given once, not renewed
1. Leonardo.Ai → alt to Midjourney
Daily Reset

150 free tokens every day, resets automatically. Commercial use allowed on the free plan, with strong character consistency across generations.

leonardo.ai →

2. Amazon Q Developer → alt to GitHub Copilot
Unlimited

Unlimited inline code completions and chat, free, forever, plus 50 agentic chat requests per month. Built by AWS. No credit card, just a free Builder ID.

aws.amazon.com/q/developer →

3. DaVinci Resolve → alt to CapCut Pro / Premiere
Unlimited

Full professional editor, free version has no watermark and no subscription. Color grading, multi-track audio, and VFX included — the strongest free full editor available.

blackmagicdesign.com/products/davinciresolve →

4. Adobe Firefly → alt to Midjourney / Photoshop
Monthly Reset

Trained only on licensed Adobe Stock content, so it’s commercially safe. 25 free generative credits every month for text-to-image and generative fill.

firefly.adobe.com →

5. Chatterbox (open source) → alt to ElevenLabs
Unlimited

Genuinely unlimited once self-hosted. Clones a voice from 5 seconds of audio, MIT license, unrestricted commercial use. Needs your own GPU or a cheap rented one.

github.com/resemble-ai/chatterbox →

6. Google AI Studio TTS → alt to ElevenLabs
Daily Reset

No install, no card, just sign in with Google. Rate-limited but no hard credit ceiling — good for drafts and short-form voiceovers.

aistudio.google.com →

7. Gamma → alt to Beautiful.ai / Pitch
One-Time Credits

400 credits given once at signup, not refreshed. Great for testing the tool, but closer to a trial than an ongoing free plan once they run out.

gamma.app →

8. Canva (Free Plan) → alt to Beautiful.ai / Adobe Express Premium
Monthly Reset

Core editor and templates are free forever, unrestricted. AI-specific features (Magic Design, Magic Write) are capped at roughly 50 operations per month.

canva.com →

9. NotebookLM → alt to Otter.ai
Monthly Reset

Up to 100 notebooks, 50 sources each, 500,000 words per notebook, free. Its Audio Overview feature turns any document into a podcast-style AI discussion.

notebooklm.google.com →

10. DeepSeek → alt to ChatGPT Plus / Claude Pro
Unlimited

Free app, no credit system. Step-by-step reasoning that’s solid for outlines, research summaries, and long-form drafts. Only rate-limited during peak hours.

chat.deepseek.com →

Disclaimer: “Free” in the AI tools space almost always means a free tier with usage limits, not unlimited access. Most tools above refresh their free quota daily or monthly and never require a credit card, but a couple offer only a one-time batch of credits before nudging you toward a paid plan. We’ve flagged which is which above. Only fully open-source, self-hosted tools are truly unlimited, and those need your own hardware or a rented GPU to run. Pricing and free-tier limits change often, so always check the tool’s current pricing page before relying on it for ongoing work.

How to Create AI Music and Become an AI Music Influencer (Step-by-Step)

How to Create AI Music and Become an AI Music Influencer (Step-by-Step)

The exact 3-tool workflow going viral right now, using Gemini, Suno AI, and Agent Opus.

AI music is exploding online right now. Artists using AI tools are racking up millions of views on YouTube and Spotify, and it is not limited to one genre. Country, pop, hip-hop, lo-fi, it is happening everywhere. The best part is that you do not need to sing, play an instrument, or own a studio to do it.

In this article, I am breaking down the exact process I used to turn myself into an AI country artist, from writing the concept to publishing a finished music video, using three tools working together.

Step 1: Build Your Concept and Lyrics with Gemini

1

Turn yourself into an artist

Start by deciding what kind of artist you want to become. I chose a country artist for this one. Use Gemini and feed it a reference track you like as inspiration. Ask it to generate different song concepts based on that reference, then have it write the full lyrics once you pick a direction you like.

Step 2: Generate the Track with Suno AI

2

Turn your lyrics into a real song

Take the lyrics Gemini wrote and drop them into Suno AI. Choose your genre and vocal style, and Suno will generate a complete, radio-ready track, vocals, instrumentation, and structure included. This is the step that turns your idea into an actual song you can release.

Step 3: Create the Music Video with Agent Opus

3

Bring your song to life visually

This is where it gets fun. Head to Agent Opus and select “Song to Video.” Upload your finished MP3 along with your assets. You can select an existing visual style or generate one from a single screenshot, add your own character to the video, choose your format, and let it render. In minutes, you have a complete, shareable AI music video.

Want to try the exact tool used to make the video above?

Try Agent Opus

Why This Trend Is Working Right Now

AI-generated country songs alone have seen massive year-over-year search growth, and general AI music tools continue to trend across every major platform. Audiences are not just watching, they are searching for how to do it themselves. That makes now a great time to start your own AI music influencer page, whether it is a single character, a rotating genre concept, or a full artist persona.

The workflow above works for any genre. Swap the reference track, adjust the style prompt in Gemini, and you can pivot from country to pop to lo-fi in one afternoon.

This article discusses third-party AI tools (Gemini, Suno AI, Agent Opus) for educational purposes. Results may vary based on inputs and platform updates. Always review each platform’s terms of use regarding AI-generated music monetization and distribution.

The Viral Sales Reciple Calendar

POD Seasonal Demand Calendar 2026 — Simply Digital
Free resource for POD sellers

Seasonal demand calendar 2026

40+ high-demand events ranked by Etsy search volume — with design quotas, winning directions, and lead times used by top Printify sellers. Click any row to expand the full design brief.

Event Date Tier Demand Designs Lead Winning design direction
simplydigital.gr

Learn how to use the Calendar in the tutorial above

Claude can be your personal tutor and teach you any skill in hours.

Claude Can Be Your Personal Tutor for Any Skill

Most people use AI to get quick answers. But Claude can do something far more powerful:
it can become a personal tutor that adapts to how you learn.

Instead of reading endless courses, watching hours of videos, or getting stuck in theory,
you can use Claude to build practical skills faster through personalized learning,
real-world simulations, targeted exercises, and instant feedback.

Below are six powerful prompts that transform Claude into a private tutor capable of helping
you learn almost any skill more efficiently.


1. The Learning Curve Destroyer

This prompt forces Claude to focus only on what matters. It eliminates unnecessary theory,
identifies the highest-leverage lessons, and helps you become functional in a skill as quickly as possible.

You are a teacher who has only 4 hours with me and will never see me again. Your only objective is to make me functional in [SKILL] before the time runs out.

Do not give me theory without a practical use, and do not give me a generic list.

Tell me three things:

• what to learn first,
• what to ignore completely,
• and the one exercise that, done a single time, would already put me ahead of 70% of people who have studied this for months.

Then teach me the first step and wait for my response before continuing.

2. The Real Error Simulator

Learning happens fastest when you make mistakes and correct them. This prompt places you
directly into realistic scenarios instead of giving passive explanations.

Do not explain [CONCEPT] to me.

Put me directly into a realistic situation where I would have to use it and would probably make a mistake. Then wait for my response.

When I make a mistake, do not give me the answer. Ask me one question that forces me to find where my reasoning breaks.

Give me the answer only after I have tried at least twice. Then repeat the cycle with a new situation until I can get it right without hesitation.

3. The Impossible Language Translator

Complex topics often become simple once you understand the central idea. This prompt forces
Claude to identify that key insight before explaining anything else.

The content below is confusing to me.

Before explaining anything, tell me the one core idea that, once I understand it, makes the rest fall into place.

Explain only that idea first, using an everyday analogy and no technical terms.

Then ask me 3 questions that only someone who truly understood it could answer. Ask them one at a time and wait for my answers.

Do not move on to the rest until I pass all three.

[PASTE THE CONTENT HERE]

4. The Personal Learning Path Architect

Most learning plans are generic. This prompt creates a customized roadmap based on your goal,
current knowledge, and deadline.

My real goal is [GOAL].

It is not to learn [SKILL] in general. It is to achieve [SPECIFIC RESULT] within [DEADLINE].

I already know [WHAT YOU ALREADY MASTER].

Based on that, build me a 7-day learning path.

Each day must include:

• one single task that fits within 45 minutes,
• a clear criterion so I know whether I did it correctly,
• and what not to do that day so I do not waste time.

If the entire path does not lead me to the goal, rebuild it until it does.

5. The Hidden Gap Detector

Many people believe they understand a skill until they are asked the right questions.
This prompt uncovers weaknesses in your knowledge that would otherwise remain hidden.

I think I already master [SKILL]. I want you to prove me wrong.

Ask me 5 questions that seem simple but expose the gaps of someone who has never truly gone deep.

Ask them one at a time and wait for each answer.

After every answer, tell me what it reveals about what is still missing in my foundation.

Do not go easy on me. If I am being shallow, tell me directly.

6. The Forced Feynman Method

One of the best ways to learn is to teach. This prompt uses the famous Feynman technique
to expose weak spots in your understanding.

I just studied [TOPIC].

I am going to explain what I understood as if you were a 10-year-old child.

Wait for my explanation. While I explain, stop me every time I use jargon I cannot define, skip a step in the reasoning, or simplify so much that it becomes wrong.

At the end, tell me exactly what those mistakes reveal about what is still not solid in my understanding.

Final Thoughts

The biggest advantage of Claude is not that it knows information. The real advantage is that it can adapt the way it teaches to match your goals, strengths, and weaknesses.

Whether you’re learning a new language, coding, marketing, design, finance, or any other skill, these prompts turn Claude from a chatbot into a personalized tutor that guides you step by step.

Try one of these prompts today, replace the placeholders with your own skill or goal, and experience a faster, more focused way to learn.

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Anthropic paying you $85000 to learn AI. Here is now!

Anthropic Will Pay You $85,000 to Learn AI — Here’s What’s Actually Real

You’ve probably seen the post going around: a dramatic headline claiming Anthropic will pay you $85,000 to learn AI. It sounds like clickbait. It isn’t. Here’s what the program actually is, and one thing to watch out for before you apply.

What Claude Corps Actually Is

On June 11, 2026, Anthropic launched Claude Corps, a $150 million national fellowship program. The idea: train 1,000 early-career people to use Claude well, then place them inside US nonprofits for a year, full-time, to help those organizations adopt AI. Anthropic funds it and sets the strategy. CodePath, a nonprofit partner, is the actual employer of record. Social Finance handles measurement and evaluation.

The Numbers

  • $85,000 full-time salary, plus benefits
  • $150 million committed by Anthropic to fund the program
  • 1,000 fellows planned, placed across 400+ nonprofits
  • Extras: a CodePath mentor, Anthropic office hours, a Claude token budget, and 5 hours of weekly training

Who Can Apply

  • 18 years or older
  • Fewer than two years of full-time work experience
  • Authorized to work in the US
  • Comfortable working with Claude, willing to relocate if needed

No specific degree is required.

Timeline

  • Applications for the first cohort (100 fellows) close July 17, 2026
  • First cohort starts October 19, 2026
  • Two more cohorts begin in January and August 2027, on a rolling basis

One thing to watch for: the viral posts spreading this news are often run by accounts with no connection to Anthropic, using “like + comment to get a DM” tactics to drive engagement. The program itself is real, but apply only through Anthropic’s official channels, not through links in random comment sections.

Where to Apply

Go straight to the source for full details and the application form.

View Claude Corps on Anthropic.com

45 Claude Code Prompts That Developers Don’t Share Publicly






45 Claude Code Prompts That Developers Don’t Share (5 Categories)


45 Claude Code Prompts That Developers Don’t Share Publicly (5 Categories)

By SimplyDigital  |  AI Tools & Productivity  |  June 2026

Claude Code is Anthropic’s agentic coding tool that runs directly in your terminal. Unlike a regular chatbot, it can read files, write code, execute commands, and work across your entire codebase autonomously.

But here’s the thing: the quality of your prompts determines everything. Vague prompts in Claude Code don’t just produce vague answers — they produce vague actions, and actions have real consequences in your codebase.

After deep research across Anthropic’s official documentation, developer communities, and real-world workflows, we compiled the 45 most effective Claude Code prompts, organized into 5 practical categories.

💡 How to use this guide: Each prompt is copy-paste ready. Adapt the parts in [brackets] to your specific project. The structure of the prompt matters more than the exact wording — study the pattern, then make it yours.

⚠️ The #1 mistake developers make: Starting Claude Code with a vague prompt like “build me a login system” without any project context. Claude will build something — but it won’t match your stack, conventions, or file structure. Always orient before you build.

📂 Category 1 — Session Setup (Prompts 1–9)

Context-setting is the highest-leverage habit you can build with Claude Code. Before asking Claude to do anything, give it a clear mental model of your project. Spending 2 minutes here saves 20 minutes of misaligned output later.

Prompt #01
Project map before touching anything
Read the files in this project and give me a summary of: the architecture, the main technologies used, the entry point, and which directories actually matter. Ask me up to 5 clarifying questions if anything is unclear.
Prompt #02
CLAUDE.md auto-briefing setup
Create a CLAUDE.md file for this project. Include: project purpose, tech stack and versions, naming conventions, which directories contain what, and any hard constraints (e.g. never modify /legacy without explicit instruction).
Prompt #03
Understand before building (plan mode)
Enter plan mode. Read /src and understand how sessions and auth are handled. Do NOT make any changes yet — only explore and answer questions.
Prompt #04
Session reset and context reload
Use /clear to reset context. Then re-read only the files most relevant to today’s task: [list files here]. Confirm your understanding before proceeding.
Prompt #05
Stack-specific orientation
This is a [React 18 + TypeScript] frontend connected to a [FastAPI] backend. Use functional components only. Follow PascalCase for components and camelCase for utilities. All API calls go through /src/api/client.ts.
Prompt #06
30-minute onboarding plan for a new engineer
Map this repo: list key directories, runtime, build/test commands, and where configs live. Then propose a 30-minute onboarding plan for a new engineer. Goal: I need to understand the architecture before shipping a fix today.
Prompt #07
Reference files instead of pasting code
Read @/src/auth/session.ts and @/src/api/client.ts. Based on those files, explain how sessions are managed and suggest improvements — without changing anything yet.
Prompt #08
Pipe data directly for analysis
cat error.log | claude “Analyze this log for patterns, root causes, and the top 3 most actionable fixes.”
Prompt #09
Goal condition active for the whole session
/goal: All unit tests in /tests must pass before ending any turn. Run the test suite after every change. If tests fail, iterate until they pass.
Quick win: Create a CLAUDE.md file on day one of any project. Claude Code reads it automatically at the start of every session — so you only write it once and benefit forever.

⚡ Category 2 — Code Generation (Prompts 10–18)

The goal here is to force Claude to generate code that actually fits your project — matching your stack, conventions, and existing patterns — instead of generic boilerplate.

Prompt #10
Feature end-to-end with tests
Implement: [feature name]. Start by clarifying requirements (ask if needed), then design the data model, API routes, and UI states. Propose a plan first, then implement. Add tests and keep diffs small and reviewable.
Prompt #11
Precise feature request that fits the stack
Add a [feature] to [file/module]. Match the existing naming conventions, error handling style, and file structure already in place. Do not introduce new abstractions.
Prompt #12
Pseudocode bridge — plan before building
Before writing any code, describe in plain English what needs to happen step by step. Then convert that pseudocode into an implementation plan with exact files and functions to touch.
Prompt #13
API integration with error handling
Connect to [API name] using the existing /src/api/client.ts pattern. Handle auth, rate limits, timeout, and error responses. Add a retry with exponential backoff for transient failures.
Prompt #14
Environment setup from scratch
Set up a local dev environment for this project. List all required dependencies, explain what each does, and write a setup script that another engineer can run in one command.
Prompt #15
Dependency analysis before installing
Before installing [package], analyze: what it does, its size, its license, whether we already have an equivalent, and any known security advisories. Recommend whether to install it.
Prompt #16
Documentation generator
Generate documentation for this module. Explain what it does, its public API (inputs, outputs, errors), and include at least 2 usage examples. Write it so a new engineer could use it without reading the source.
Prompt #17
Multi-file awareness before making changes
Implement [feature] but first identify every file that needs to change. List them with a one-line explanation of why before touching anything.
Prompt #18
Add observability — logs, metrics, traces
Add logs, metrics, and traces for the critical path. Define useful structured fields, avoid logging PII, and add an alert condition for error rate above [threshold]. Show where to find these signals in [your monitoring tool].

🐛 Category 3 — Debug & Test (Prompts 19–27)

The key insight here: give Claude a check it can run. Without a pass/fail signal, Claude stops when the work “looks done” and you become the verification loop. With a check, the loop closes on its own.

Prompt #19
Root cause debugging — no suppressing errors
The build fails with this error: [paste error]. Fix it and verify the build succeeds. Address the root cause — do not suppress the error or wrap it in a try/catch that swallows it.
Prompt #20
Fix failing tests with proof
Run the test suite. For each failing test: 1) explain the failure cause, 2) propose the smallest safe code change, 3) show how to prove the fix. Prefer fixing code over disabling tests.
Prompt #21
Write tests before implementing (TDD)
Write unit tests for [feature] first. Include: the happy path, edge cases ([list them]), and error states. Once tests are written, implement only what makes them pass.
Prompt #22
TDD red-green-refactor pattern
Follow TDD: write a failing test, implement the minimum code to make it pass, then refactor. Show each step explicitly before moving to the next.
Prompt #23
Verify UI changes visually
[Paste screenshot] Implement this design. After implementing, take a screenshot of the result and compare it to the original. List all differences and fix them.
Prompt #24
Rubber duck debugging — explain the logic
I’m stuck. Walk me through this function line by line as if explaining to someone unfamiliar with the codebase. Then tell me where the logic breaks and what the minimal fix is.
Prompt #25
Stop hook verification gate
Set a Stop hook that runs [test command]. Block the turn from ending until the test returns exit code 0. If it blocks 8 times in a row, surface the error and stop.
Prompt #26
Second-opinion verification subagent
After implementing [feature], spawn a verification subagent with a fresh context. Its only job: try to find a flaw in the implementation. Report what it finds before we merge.
Prompt #27
Pre-deployment checklist
Before I deploy, generate a checklist covering: env vars set, migrations applied, feature flags configured, monitoring alerts active, rollback plan documented, and any TODOs that must be resolved before production.
Pro tip: Anthropic’s own best practices documentation explicitly calls out verification criteria as one of the core habits for strong Claude Code results. If you add nothing else, add a check Claude can run after every change.

🔒 Category 4 — Security & Code Review (Prompts 28–36)

Run these before merging anything that touches authentication, user data, file uploads, or external APIs. These prompts treat Claude like a senior security reviewer — not a rubber stamp.

Prompt #28
Full security audit before merging
Review these changes for: auth/authorization flaws, SQL/command injection, SSRF, XSS, CSRF, and hard-coded secrets. Produce a prioritized list with severity, exploit scenario, and exact mitigation for each finding.
Prompt #29
Honest code review — no flattery
Review this code as a senior engineer who prioritizes correctness and maintainability over compliments. List what’s wrong, what’s fragile, what should be refactored, and what should be deleted.
Prompt #30
Safe refactor — behavior preserved
Refactor this module for readability without changing behavior. First write characterization tests that lock in the current behavior. Then refactor in small commits with explanations. Flag any suspected behavior changes.
Prompt #31
Performance triage with ranked fixes
Profile the slow path. Identify bottlenecks, then propose 3 optimizations ranked by impact vs. risk. For each: exact files/functions to change, expected tradeoff, and a benchmark plan showing before and after.
Prompt #32
Migration helper for legacy code
Migrate this module from [old pattern/version] to [new pattern/version] systematically. Do it in small steps. Write a regression test before each step and run it after. Flag anything that cannot be migrated safely.
Prompt #33
Dependency upgrade with rollback plan
Plan an upgrade of [dependency] from [vX] to [vY]. List breaking changes, required code changes, test coverage gaps, and a rollback plan if the upgrade destabilizes the system.
Prompt #34
High-signal PR description
Write a PR description for these changes. Include: problem and who it impacted, solution and why this approach, key files for a reviewer to inspect, tests run with results, risks in production, and rollout plan.
Prompt #35
Secrets and credentials scan
Scan all modified and staged files for: hard-coded API keys, tokens, passwords, or credentials. List every match with file and line number, and recommend the fix. Do not output the actual secret values.
Prompt #36
Error handling audit
Audit this codebase for unhandled errors, swallowed exceptions, and missing fallback states. List them in order of severity and propose the minimal fix for each.

🚀 Category 5 — Workflow Power-Ups (Prompts 37–45)

These are the advanced patterns that separate developers who use Claude Code as a fancy autocomplete from developers who use it as a true agentic partner. They require a bit more setup but unlock serious leverage.

Prompt #37
Parallel agents for large tasks
Split this large task into [N] independent subtasks. Launch a subagent for each. Each subagent should operate on its own branch and report its result. Merge results when all are complete.
Prompt #38
Convert a manual process into a script
I do this manually every week: [describe process step by step]. Write an idempotent shell or Python script that automates it. Include error handling and a dry-run mode so I can test before running for real.
Prompt #39
Git workflow automation
After implementing [feature]: create a descriptive commit message, push to a new branch named [your naming convention], and open a PR with a summary of what changed and why.
Prompt #40
Context compression for long sessions
Use /compact to summarize this session. Keep: current task, files modified, decisions made, and what still needs to be done. Discard everything else to free context for the next phase.
Prompt #41
Unattended run with auto-verification
Complete [task] without stopping for confirmation. After each step, run [check command] and iterate until it passes. If you hit 3 consecutive failures on the same step, stop and show me the full error.
Prompt #42
Explore vaguely before committing to anything
What would you improve in this file if you had free rein? Don’t make any changes — just list your observations. I’ll tell you which ones to pursue.
Prompt #43
Model selection for the right task
Use /model claude-sonnet-4-6 for this refactoring task. Switch to claude-opus-4-6 only if you encounter a design decision that requires deep reasoning about architecture trade-offs.
Prompt #44
Script a repeatable maintenance audit
Write a script that runs these checks on every deploy: dead code detection, unused dependencies, linting, and test coverage threshold. Output a report I can commit to /reports for tracking over time.
Prompt #45
Ask Claude what to ask Claude
Based on the current state of this codebase, what are the 5 most valuable prompts I should run to improve it? Rank them by impact and explain why each one matters right now.

💡 Pro Tips Before You Start

These principles apply across all 45 prompts and will immediately improve your results:

1. Orient before you build. Every Claude Code session starts fresh — it has no memory of previous sessions. Spend 2 minutes on context setup before asking for anything. This single habit eliminates most misaligned output.

2. Use CLAUDE.md for permanent context. Create this file in your project root. Claude reads it automatically at the start of every session. Write it once, benefit from it forever.

3. Specificity scales results. “Fix the bug” produces different output than “The build fails with this error: [paste]. Fix it and verify the build succeeds — address the root cause, don’t suppress it.” The structure of the prompt determines the quality of the action.

4. Give Claude a check it can run. The difference between a session you watch and one you walk away from is a test command, a build exit code, or a screenshot to compare. Without it, you become the verification loop.

5. Manage context actively. Claude Code’s context window fills fast. Use /clear when switching tasks and /compact to compress long sessions. Performance degrades as context fills — don’t ignore this.

6. Plan before you implement. Use plan mode to separate exploration from execution. Let Claude read files and answer questions first. Only switch to implementation mode when you’ve confirmed the plan is right.

⚠️ Remember: Claude Code takes you literally and does exactly what you ask — nothing more, nothing less. Earlier versions would infer intent and expand on vague requests. Current versions don’t. Be explicit about what “done” means for every task.

Final Thoughts

Claude Code is one of the most capable AI coding tools available — but capability without the right prompts produces average results. The 45 prompts in this guide aren’t magic words. They’re structured communication patterns that force clarity: what “done” means, what to change, how to verify it, and what to do next.

Start with Category 1 and make context-setting a habit. Add a verification prompt to every task. Run a security audit before every merge. The prompts compound over time — the more consistently you use them, the faster you ship and the fewer corrections you make.

Save this guide. Bookmark it. Share it with your dev team. And follow SimplyDigital for more weekly AI productivity insights.

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5 Free vs 5 Paid AI Tools

PAID vs FREE AI TOOLS YOU SHOULD KNOW

Most people think the best AI tools cost hundreds every month. Here are 5 paid tools and 5 free alternatives that can save you serious money.

1. CHATBOTS

💰 Paid: ChatGPT
All-in-one AI assistant for writing, coding, image creation and reasoning.

URL:

https://chatgpt.com

🆓 Free: DeepSeek
Powerful reasoning and coding capabilities with a free plan.

URL:

https://www.deepseek.com

2. RESEARCH

💰 Paid: Perplexity
AI-powered research with citations and web search.

URL:

https://www.perplexity.ai

🆓 Free: NotebookLM
Upload PDFs and documents to create your own AI researcher.

URL:

https://notebooklm.google.com

3. VIDEO EDITING

💰 Paid: Adobe Premiere Pro
Professional editing for creators and content production.

URL:

https://www.adobe.com/products/premiere.html

🆓 Free: Google Gemini
AI-assisted content and video workflows.

URL:

https://gemini.google.com

4. VIBE CODING

💰 Paid: Lovable
Turn prompts into websites and apps quickly.

URL:

https://lovable.dev

🆓 Free: Google AI Studio
Rapid prototyping and AI app creation.

URL:

https://aistudio.google.com

5. VOICE CREATION

💰 Paid: ElevenLabs
Realistic AI voices and voice cloning.

URL:

https://elevenlabs.io

🆓 Free: Speechma
Simple text-to-speech voice generation.

URL:

https://speechma.com

10 Hidden Uses of NotebookLM

SimplyDigital.gr — AI Tools Deep Dive — May 2026

NotebookLM:
10 Hidden Uses Nobody Talks About

Way beyond summaries and podcasts,  these are the things you can actually create that most people have no idea exist.

The 10 Hidden Uses

 

1. Build a Full AI Persona Inside Every Notebook

Advanced

With “Configure Chat” now supporting 10,000 characters, you can give NotebookLM a complete personality : tone, expertise, role, restrictions. It stops being a generic chatbot and becomes “Alex the Legal Analyst” or your own Brand Voice Expert.

How to do it

  • Open your Notebook → click the “Configure Chat” icon
  • Write a detailed system persona up to 10,000 characters : role, tone, restrictions, output format
  • Upload relevant documents as sources so the persona speaks ONLY from those
  • Share the notebook with teammates,  everyone gets the same AI specialist
Real use: Create a “Brand Voice Assistant” notebook with all your style guides as sources. Every piece of content, always on-brand.

 

2. Spot Contradictions Across 10+ Documents Instantly

Killer Feature

Upload multiple contracts, reports, or research papers and ask NotebookLM to find where they disagree. It highlights conflicting numbers, timelines, and claims,  the kind of thing a human would miss after hour 3 of reading.

How to do it

  • Upload 5–10 PDFs or Google Docs on the same topic (e.g. insurance quotes, vendor proposals)
  • Prompt: “Find all contradictions between the sources, where do they give different answers on the same topic?”
  • Ask for output as a table: Source A vs Source B, topic, discrepancy
Real use: Three supplier offers in one notebook. Instant due diligence. Zero manual comparison.

 

3. Your Content “Series Bible” — A Memory That Never Forgets

Creative

Upload every episode, script, character note, and brand asset,  and NotebookLM becomes the living memory of your series. Ask it anything about your own content. No more continuity errors, no more “wait, what did I say in episode 12?”

How to do it

  • Upload every chapter, script, or character doc as a separate source
  • Prompt: “Give me the full timeline of events so far” or “Which character mentioned X?”
  • Use it to generate new ideas consistent with your existing lore
Real use: Podcasters, YouTubers, novelists,  your entire universe in one notebook that answers questions like a co-writer.

 

4. Extract Structured Data to Google Sheets via Data Tables

Studio Feature

There’s a nearly invisible feature in the Studio panel: Data Tables. Tell NotebookLM exactly which columns you want and it extracts information from 50+ pages of documents directly into a spreadsheet. Zero copy-paste.

How to do it

  • Upload documents with structured info (job postings, grant calls, product catalogs)
  • Studio panel → “Data Table” → define your columns: e.g. “Company | Salary | Deadline | URL”
  • Export directly to Google Sheets for filtering, sorting, and analysis
Real use: 20 job postings become a clean salary comparison table in under 2 minutes.

 

5. Join the Podcast Live — Interactive Audio Mode

Viral Worthy

Almost nobody knows Audio Overview has an “Interactive Mode.” You can interrupt the two AI hosts mid-conversation, ask your own questions, redirect the discussion, and they respond to you in real time.

How to do it

  • Generate any Audio Overview from your material
  • While it’s playing, hit “Join” to enter the live conversation
  • Ask questions,  hosts pause, answer you directly, then continue
  • Also customize: Debate, Brief, Critique, or Deep Dive format instead of default
Real use: Study while commuting, and pause the “podcast” to ask for clarification like you’re actually in the room.

 

6. Mind Map an Entire Competitor Website for Content Gaps

Research

Load a competitor’s entire website or blog into a notebook, generate a mind map, and instantly see every topic they cover,  and every gap they’ve missed. The best content strategy tool hiding inside a research tool.

How to do it

  • Use the Chrome “Web Importer” extension or paste URLs manually as sources
  • Studio panel → “Mind Map” → open and expand all nodes
  • Export as image for your content strategy deck
  • Prompt: “What related topics are missing from these sources?”  instant gap analysis
Real use: Load a competitor’s blog. Find what they haven’t written about yet. Write it first.

 

7. The Annual Review That Writes Itself

Productivity

Upload your work journals, project notes, milestone emails, and KPI results, then ask NotebookLM to identify your top 3 impact areas with actual citations. Evidence-backed, no blank page, no exaggeration.

How to do it

  • Upload: meeting notes, project summaries, KPI results, self-assessment notes from the year
  • Prompt: “What are my 3 biggest contributions? Give specific examples from the sources”
  • Then: “Write a performance review using ONLY real evidence from the documents”
Real use: Zero blank-page paralysis. Every claim cited. Nothing made up, nothing undersold.

 

8. Culinary Invention Engine — New Recipes from Your Own Collection

Unexpected

Upload 50+ recipes and NotebookLM creates brand new ones,  not random inventions, but dishes built on the patterns and flavor logic of what you already gave it. It learns your style, not some generic AI food style.

How to do it

  • Upload a recipe collection (cookbook PDF, food blog exports, personal notes)
  • Prompt: “Based on these, create a new recipe that fits this style — gluten-free”
  • Ask it to explain WHY each combination works, based on your source recipes
Real use: Food bloggers who want signature dishes. Or simply: “I only have these 6 ingredients — now what?”

 

9. Live Event Quiz from Speaker Slides — No Asking Required

Event Pro

Upload speaker decks before a conference and generate a full interactive quiz in minutes — without asking the speakers to write a single question. Use it live with Slido or Mentimeter for audience engagement that looks effortless.

How to do it

  • Collect PPTX/PDF from speakers before the event
  • Studio → Quiz → set difficulty, topic focus, number of questions
  • Copy questions into Slido or Mentimeter for live audience polling
  • Generate Flashcards too — send as post-event learning material
Real use: Conference organizers, trainers, HR teams — instant engagement layer from existing content.

 

10. Video Overviews with Whiteboard / Kawaii / Watercolor Visual Styles

Hidden Gem

Almost no one uses Video Overview,  the Audio Overview’s sibling that adds animated visuals. Choose between Whiteboard, Kawaii, Watercolor, and Classic visual styles. A dry document becomes a stylized animated explainer video.

How to do it

  • Studio panel → “Video Overview” (not Audio)
  • Choose Format: Explainer or Brief , then Visual Style: Whiteboard, Kawaii, Watercolor, or Classic
  • Fill in “What should the hosts focus on?” the most important quality lever
  • Use as client explainers, onboarding videos, or social content
Real use: Turn a standard SOP into a Kawaii-style onboarding video. New hires remember it. Guaranteed.

Do Not Pay for AI Tools Again


SimplyDigital.gr — 2026 Guide

10 Free Websites That Feel Like Cheat Codes in 2026

Most people are still Googling things in 2026. Meanwhile, a small group of people is using these 10 free tools to work 10x faster, create better content, and skip hours of manual effort. Bookmark this. Share it. Come back to it.

1

Claude

  • Replaces: endless tabs + research + brainstorming
  • Writing, strategy, coding, planning, content creation
  • Free plan available
  • Upload PDFs, docs and entire projects
  • Remembers context inside projects
Pro Tip
Most people use Claude like a chatbot. Use Projects and saved knowledge instead.

URL:https://claude.ai

  • Replaces: multiple assistants and repetitive tasks
  • Build an AI workspace for your business
  • Train Claude on SOPs and documents
  • Customer support + content + workflows
  • Keep team knowledge centralized
Pro Tip
Upload FAQs and sales scripts so Claude acts like a trained team member.

URL:https://claude.ai

  • Replaces: AI tool hunting
  • Discover hidden AI tools early
  • Browse by category
  • Updated constantly
  • Huge AI tool library
Pro Tip
Search by use case — not just by tool name.

URL:https://bestfreeaiwebsites.com

  • Replaces: scriptwriters + editors + researchers
  • Turn ideas into complete videos
  • Creates hooks, scripts and visuals
  • AI motion graphics built in
  • Built specifically for social media creators
Pro Tip
Feed it a blog, article or idea and let it build the entire content flow.

URL:https://www.opus.pro/agent?mcp_token=eyJwaWQiOjM2NTMyMywic2lkIjoxNTA2OTEyNTEsImF4IjoiMGM1MGUzMTA4ZGU5ZGY5MWY4YWUzNzA3MmYzYzQ5NjMiLCJ0cyI6MTc3OTM2NzQ3MiwiZXhwIjoxNzgxNzg2NjcyfQ.CW3dE4lG8xoX-OCQQD09oKIHLe5iDf9K2agfCku7Izg

  • Replaces: Google rabbit holes
  • Research with sources
  • Real-time answers
  • Market research
  • Fast summaries
Pro Tip
Ask “compare X vs Y” — the side-by-side breakdowns are incredibly useful.

URL:https://www.perplexity.ai

  • Replaces: reading huge PDFs manually
  • Creates summaries
  • Generates podcast-style discussions
  • Upload transcripts
  • Great for content ideas

URL:https://notebooklm.google.com

7

Gamma

  • Replaces: presentation tools
  • Create slides instantly
  • Turns text into decks
  • Builds webpages too
  • Share easily

URL:https://gamma.app

8

HeyGen

  • Replaces: expensive video production
  • AI avatars
  • Video translation
  • Voice cloning
  • Fast content scaling

URL:https://www.heygen.com

  • Replaces: quick design work
  • AI image generation
  • Excellent text rendering
  • Great for thumbnails
  • Social media covers

URL:https://ideogram.ai

10

Canva

  • Replaces: multiple design tools
  • AI editing included
  • Huge template library
  • Social media assets
  • Beginner friendly

URL:https://www.canva.com


Bookmark this. Share it. Come back to it.

More tools, tutorials and AI guides every week on SimplyDigital.gr

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Design anything with Claude in 5 minutes






How to Design Anything on Claude in 5 Minutes | SimplyDigital


AI Tools & Design

How to Design Anything on Claude in 5 Minutes

No design software. No coding skills. No waiting. Here is the complete, step-by-step guide to using Claude as your personal design tool — and getting polished results in minutes.

SimplyDigital Team

May 2026

5 min read

Before You Start: What Claude Can Actually Design

Most people think of Claude as a writing assistant. But it is also a fully capable design tool — one that renders live, interactive visuals directly inside the chat window. No exports, no Figma, no browser setup required.

Claude creates designs in four main formats, each suited to a different use case:

Format Best For
HTML / CSS Landing pages, cards, layouts, blog headers, posters
React (JSX) Interactive components, dashboards, apps with toggles or tabs
SVG Icons, illustrations, infographics, logo concepts
Mermaid Diagrams, flowcharts, system maps, user journey maps

If you are unsure which format to use, do not worry. Just describe what you want in plain language and Claude will choose the right output automatically.

The 5-Minute Design Process

Step 01 — 30 seconds

Know Your Output Type

Before you type anything, spend 30 seconds deciding what kind of thing you are building. This single choice shapes the quality of everything that follows.

Building a page or layout? Ask for HTML.
Need interactivity — buttons, sliders, tabs? Ask for React.
Creating a graphic or illustration? Ask for SVG.
Mapping a process or system? Ask for Mermaid.

Step 02 — 1 minute

Write a Detailed Prompt

This is the most important step. A vague prompt produces a generic result. A detailed prompt produces something you will actually want to use. Think of it as briefing a designer: the more context you give, the better the output.

Use this simple formula when writing your prompt:

[What it is] + [Who it's for] + [Visual style] + [Key elements] + [Colors and fonts]

Here is the difference in practice:

“Make me a website”
“Design a modern SaaS landing page for an AI writing tool aimed at content creators. Use a dark background (#0f0f0f) with neon green accents (#00ff88). Include a hero section with a headline and CTA button, three feature cards with icons, and a pricing section with three tiers. Clean and minimal style, Playfair Display for headings.”

More examples of prompts that work well:

“Create a mobile app UI for a fitness tracker — dark mode, card-based layout, progress rings, orange accent color.”

“Design an infographic showing the five stages of AI adoption for businesses — modern flat style, blue and purple palette.”

“Build an interactive pricing calculator with sliders for React.”

“Make a Notion-style dashboard with a sidebar, stats cards, and a recent activity feed.”

Step 03 — 30 seconds

Submit and Watch It Render

Hit enter. Claude generates the code and immediately renders a live visual Artifact in the panel to the right of your chat. You do not need to open a browser, paste anything, or install a single tool. The design appears in real time, often within 10 to 20 seconds.

Pro tip: If the design does not appear automatically, look for the Artifact panel toggle at the top right of your Claude window and make sure it is enabled.

Step 04 — 2 minutes

Iterate with Follow-Up Prompts

Here is where Claude truly earns its place in your workflow. You do not re-design from scratch — you refine with plain English, one instruction at a time. Each follow-up takes around 10 to 20 seconds to re-render, meaning you can cycle through five or six revisions in under two minutes.

To change colors:

“Change the background to midnight blue and make the buttons gradient from purple to pink.”

To adjust layout:

“Move the pricing section above the features, and make the hero headline larger.”

To swap content:

“Replace the placeholder text with real copy for a tool called WriteFlow.”

To upgrade the style:

“Make it feel more premium — add subtle shadows, rounded corners, and a glassmorphism card effect.”

To add interactivity:

“Add a hover effect on the cards and make the CTA button pulse gently.”

To make it responsive:

“Make this mobile-friendly with a hamburger menu on small screens.”

Step 05 — 1 minute

Export or Copy the Code

Once you are happy with the result, you have several options:

Copy the code — click the code icon in the Artifact panel to view and copy the raw HTML, React, or SVG.
Download as a file — use the download button on the Artifact to save it directly to your computer.
Screenshot it — perfect for social posts, slide decks, or client presentations.
Paste into your project — the generated code works directly in any standard web project.


Power Tips for Better Results

Reference a Design Style

You can direct Claude toward a specific visual aesthetic by naming a reference. Try phrases like “in the style of Linear.app” or “make it look like Stripe’s homepage.” Claude understands a wide range of design languages and will adapt accordingly.

Always Provide Hex Codes for Colors

If brand accuracy matters, never say “blue” when you can say #1a56db. Hex codes eliminate guesswork and ensure the output matches your actual brand palette every single time.

Specify Exact Dimensions When Needed

For specific deliverables, state the dimensions upfront. For example: “Design this as a 1200×630px Open Graph image” or “Make a 1080×1920 Instagram Story layout.” Claude will size the canvas accordingly.

Ask for Components, Not Full Pages

When you only need one piece — a pricing card, a navbar, a testimonial block — ask for just that component. Smaller scopes render faster and give you cleaner, more reusable code.

Use “Keep Everything the Same But…”

This is one of the most useful phrases in your iteration toolkit. It tells Claude exactly what to preserve while changing only what you specify. Without it, Claude may interpret your follow-up as permission to redesign broadly.

Describe Your Audience

Adding audience context shapes the visual complexity and tone of the output. “This is for non-technical users aged 45 to 60” produces something very different from “this is for startup founders in tech.”


Quickstart Cheat Sheet

The 5-Step Process at a Glance

  1. Pick your format — HTML, React, SVG, or Mermaid
  2. Write a rich prompt — What + Who + Style + Elements + Colors
  3. Let it render — the Artifact appears on the right in seconds
  4. Refine in plain English — iterate fast with follow-up prompts
  5. Copy or download the code — use it anywhere you need

Try It Right Now

The best way to understand what Claude can do is to experience it yourself. Paste the prompt below directly into Claude and watch a live design appear within seconds — then start tweaking.

“Design a modern landing page hero section for a digital marketing agency called SimplyDigital. Dark background, bold white headline, a short subtitle, a bright CTA button, and a subtle animated gradient in the background. Clean and professional.”

From there, add one follow-up at a time. Change the colors, swap the copy, adjust the layout. Within five minutes you will have something that looks genuinely designed — not generated.

That is the shift Claude makes possible: from describing a design to holding it in your hands, in minutes, with no tools other than the words you already know how to type.


The 10 Most Viral prompts to create images with ChatGPT 2.0 Image Part #2






10 AI Image Prompts That Will Blow Your Mind


ChatGPT Image Generation

10 AI Prompts
That Actually Work

A curated breakdown of the most creative and practical image prompts using ChatGPT’s image tools — with exact prompts you can copy.

ChatGPT’s image generation has become remarkably capable — and the right prompt makes all the difference. Below you’ll find 10 distinct use cases, each with the exact prompt used to produce the result. From personal style analysis to full floor plan generation, these are the prompts worth knowing.

Use them as-is or adapt them to your own content. All prompts were originally shared as part of a visual series on AI image creation.

01
Create Your Personal Colour & Hairstyle Analysis

Personal Styling

Hairstyle Analysis Prompt

“Create a hairstyle analysis graphic using this portrait. Show side-by-side hairstyle comparisons to highlight which hairstyles suit the subject best. Make it visual-first, with short labels only and no paragraphs.”

Color Analysis Prompt

“Create a personal color analysis graphic using this portrait. Show side-by-side clothing color comparisons to highlight which colors suit the subject best. Make it visual-first, with short labels only and no paragraphs.”

02
Reimagine Scenes as Crayon Drawings

Art Style Transfer

Prompt

“Edit the provided image and reimagine the entire scene as a crayon-style drawing. Simplify the details and make it look like it was drawn by a 10-year-old child. Do not use the original image’s colors. Give it the feeling of being drawn on a sheet of white paper, with a very cute, playful, and innocent look. Add charming childlike elements such as flowers, candy, stars, clouds, and other sweet decorative details to enhance the whimsical feel. Keep the overall result adorable, colorful, and full of childlike innocence.”

03
Get a Full Facial Breakdown in Seconds

Beauty Analysis

Prompt

“Create a clean, minimal, high-end facial beauty report based on this photo. Use a black-on-white design with thin lines, rounded cards, and a luxury aesthetic. Include a simple contour line drawing of the face, an honest attractiveness analysis (symmetry, proportions, bone structure, skin, etc.), clear scores, strengths, areas for improvement, and actionable grooming/style recommendations. Keep it data-driven, visually refined, and not overly flattering.”

04
Creating a 3×3 Storyboard & Animating with Seedance 2.0

Storyboard + Animation

Prompt

“Create a 3×3 storyboard for a short animated sequence based on the attached image series. Each frame should be a key moment in the story, consistent in style, lighting, and character. Then, animate the sequence using Seedance 2.0 with smooth transitions, cinematic camera movement, and emotional pacing to bring the story to life.”

05
One Prompt. Any Place. Full 360 Degrees.

360° Environment

Prompt

“Use 360 equirectangular image of [place]”

06
From House Photo to Full Floor Plan

Architecture

Prompt

“Generate the entire floor plan of this house from this photo.”

07
NYC in Ghibli

Map + Art Style

Prompt

“NYC Stereotype map by district in Ghibli.”

08
Beautifying Boring Graphs

Data Visualization

Prompt

“Make this graph prettier.”

09
Redrawing Images in the Most Scribbly Way

Comedic Art

Prompt

“Redraw the attached image in the most clumsy, scribbly, and utterly pathetic way possible. Use a white background, and make it look like it was drawn in MS Paint with a mouse. It should be vaguely similar but also not really, kind of matching but also off in a confusing, awkward way, with that low-quality pixel-by-pixel feel that really emphasizes how ridiculously bad it is. Actually, you know what, whatever, just draw it however you want.”

10
Instant Sticker Packs

Branding + Design

Prompt

“I want to come up with about 16 more kinds of stickers that say SLAP@. So please compile them all into one image and output that. I want a variety of sticker types. Not just color variations, but ones with completely different shapes and designs. Stylish street stickers.”

Originally published on SimplyDigital.gr  ·  All prompts for ChatGPT image generation  ·  Copy freely, experiment boldly.


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