🚨 Stop using Claude like 99.7% of people do

Welcome back! Today is a build day. Five cheatsheets, roadmaps and habit lists you can apply before your next session.

In today's Generative AI Academy Newsletter:

That's your ultimate agentic AI roadmap.

Save it & use it.

But before anything else, 7 things worth knowing before building anything agentic:

1️⃣ Agentic AI isn't the same as a chatbot

It's goal-oriented, autonomous, context-aware, and takes action.

2️⃣ Every agent runs on a loop: Perceive → Reason → Plan → Act, cycling around a defined goal.

3️⃣ 6 agent types exist, from Simple Reflex Agents through full Multi-Agent Systems, each suited to a different level of complexity.

4️⃣ The stack matters.

LLM providers like Claude and GPT-4o pair with frameworks like LangChain or CrewAI, vector databases like Pinecone, and memory stores like Redis (all working together).

5️⃣ Design comes before the build.

Defining the objective, role, constraints, and error handling upfront saves far more time than fixing everything after deployment.

6️⃣ Deployment isn't the finish line.

Monitoring, cost tracking, and human-in-the-loop checks matter just as much once an agent goes live.

7️⃣ Scaling introduces a whole new set of problems: load balancing, distributed memory, multi-region security, and governance (none of which show up at the prototype stage).

BTW, GenAI Academy covers this landscape in depth, from Claude fundamentals through full agent orchestration and enterprise-scale deployment.

Browse the full lineup here.

Most people running Claude Code never touch its configuration. 

Every session starts cold, with the same conventions typed out again and the same corrections repeated.

Set up these 7 files once and the agent knows your project before you type a prompt ↓

1️⃣ CLAUDE.md loads automatically every session: project overview, tech stack, architecture, conventions. CLAUDE.local.md sits beside it for machine-specific details you'd never commit to Git.

2️⃣ .mcp.json connects Claude to GitHub, Jira, Slack and your databases. Shared through Git so the whole team gets identical connections.

3️⃣ settings.json handles permissions, tool access, model selection and hooks. settings.local.json overrides it per developer.

4️⃣ rules/ splits conventions into scoped files like code-style.md and testing.md, each tied to specific paths. One giant document gets skimmed once and ignored.

5️⃣ commands/ and skills/ do different jobs. commands/ holds slash commands you call explicitly. skills/ holds SKILL.md files that trigger automatically and load only when relevant.

6️⃣ agents/ holds sub-agents like code-reviewer.md or security-auditor.md, each with its own context and model. A reviewer that hasn't seen your last four failed debugging attempts reviews better.

7️⃣ hooks/ enforces what instructions can't. Event-driven scripts that lint, format, validate or block unsafe actions before they run.

Set all 7 up once and the codebase configures the agent for you.

Marc Daou walks through this entire setup in GenAI Academy's Mastering Claude Code, along with orchestrating agent teams and building systems that get sharper every session.

20% off ends in 2 days.

Reserve your seat.

Ten AI companies are teaching their own technology for free

Anthropic, Google, Meta, NVIDIA, Microsoft, OpenAI, IBM, AWS, DeepLearning AI and Hugging Face all publish free learning resources on the systems they build.

Ten companies, ten angles on the same technology, each taught by the people building it.

For a single practical starting point, GenAI Academy runs a free course library built for beginners. 

Clear, hands-on and useful from the first lesson.

Start here.

Nine habits that separate Claude power users from everyone else

1. Start with the right model. Most people never leave default settings. Pick the strongest model available and turn on Extended Thinking for anything needing real reasoning. Same chat, noticeably better output.

2. Move past chat alone. A regular chat resets every time. Cowork keeps Claude connected to your files, so context carries forward instead of getting rebuilt each session.

3. Build an about-me file once. Spend two hours teaching Claude your voice, priorities and rules, then save it as one file. Every future output improves because of it.

4. Connect your actual tools. Gmail, Drive, Slack, Calendar, whatever you run daily. Claude gets useful once it understands your real context instead of a hypothetical one.

5. Use action verbs. Skip vague requests like "review this." Say what you want done and in what order: "find risks, suggest edits, rewrite clearly."

6. Set format, length and tone upfront. Claude gives you too much by default unless you draw the boundaries first. Shorter prompt, sharper answer.

7. Give positive instructions only. Say what you want rather than what to avoid. "Say the thing, not the opposite" holds up well as a rule.

8. Quote the line that's wrong. Don't rewrite an entire prompt over one bad sentence. Paste it, say what's off, ask for a targeted fix.

9. Reset when quality drops. After 8 to 10 long exchanges, responses tend to slip. Copy the best output into a new chat and keep going.

Nine habits, the same tool everyone else is already using.

Your CV gets ten seconds.

That's how long a hiring manager spends matching you against a job description. They scan for their language, not yours. Miss it and you're skipped, however qualified you are.

So the rejection usually wasn't about your experience.

The fix is rewriting the CV per application, which nobody does across ten roles. ChatGPT closes that gap. Paste in your CV and the job description, and twenty minutes gets you a tailored version, a LinkedIn summary and a clear read on where you're strong.

Four ways to push it further

Run it on a role you already got rejected from, using the CV you actually sent. The difference usually explains the outcome.

If three job descriptions name the same missing skill, that's a pattern worth acting on.

Changing industries? Use it to translate your experience into the new field's vocabulary.

Feed the tailored CV and job description back in for a cover letter draft. It won't be finished, and it beats a blank page.

One caution. Reframing in their language is the point. Inventing experience is a different thing, and it surfaces in the interview.

Here's your roadmap ↓

🌠 Month 1: Foundations
Python for the ecosystem, JavaScript for anything touching a browser, Git for version control. Skip this and every later stage takes twice as long.

🌠 Months 1-2: LLMs and frameworks
Get hands-on with OpenAI GPT, Claude, Gemini and Llama, and learn where each is strongest, since model choice becomes a real engineering decision. 

Then orchestrate with LangChain for chaining, LangGraph for stateful multi-step control and LlamaIndex for retrieval-heavy work.

🌠 Months 2-3: Agent skills
The section that separates an agent from a chatbot. Prompt engineering for reliable instructions, tool and function calling so the model can act, RAG to ground answers in your own data, memory so context survives past one session and multi-agent coordination for splitting work across specialists.

🌠 Month 3: Databases and APIs
Vector databases for semantic retrieval: Pinecone for managed, ChromaDB for local, FAISS for speed at scale. 

PostgreSQL for everything relational. REST for most integrations, GraphQL where clients shape their own queries and MCP for connecting agents to external tools.

🌠 Month 4: Deployment
Docker so it runs the same everywhere, FastAPI to expose your agent as a service, Vercel for the front end and AWS for scale. 

The month that turns a notebook into software other people can use.

4 months, and 1 working agent by the end if you follow it in order.

Follow us on Instagram for fast, visual AI updates in 30 seconds. 

Subscribe to our Atlas newsletter — trusted by 3M+ subscribers — to stay ahead of AI news across tech, education, and business. 

📺 Watch us on YouTube to hear insights directly from leading AI voices, builders, and innovators.

🐦 Follow us on X for breaking AI news and real-time industry updates.

Learn how to build your next AI application with practical resources and expert guidance.

Explore investment opportunities in the future of AI and join our community-backed growth journey.

PS: Want to share your AI tool or company news with our 14M+ community? Get in touch.