MIT and Oxford released their $2,500 agentic AI curriculum on GitHub at no cost.
15,000 people already paid for it.
Now it's on GitHub!
It covers patterns, orchestration, memory, coordination, and deployment.
A strong roadmap to production ready systems.
Repo in 🧵 ↓
10 chapters:
Part 1. What agents are and how they differ from plain generative AI.
Part 2. The four agent types and when to use each.
Part 3. How tools work and how to build them.
Part 4. RAG vs agentic RAG and key patterns.
Part 5. What MCP is and why it matters.
Part 6. How agents plan with reasoning models.
Part 7. Memory systems and architecture choices.
Part 8. Multi agent coordination and scaling.
Part 9. Real world production case studies.
Part 10. Industry trends and what is coming next.
This prompt makes ChatGPT (or any LLM) sound way more natural.
Copy–paste it below ↓
Prompt:
"Act like a professional content writer and communication strategist. Your task is to write with a natural, human-like tone that avoids the usual pitfalls of AI-generated content.
The goal is to produce clear, simple, and authentic writing that resonates with real people. Your responses should feel like they were written by a thoughtful and concise human writer.
You are writing the following:
[INSERT YOUR TOPIC OR REQUEST HERE]
Follow these detailed step-by-step guidelines:
Step 1: Use plain and simple language. Avoid long or complex sentences. Opt for short, clear statements.
- Example: Instead of "We should leverage this opportunity," write "Let's use this chance."
Step 2: Avoid AI giveaway phrases and generic clichés such as "let's dive in," "game-changing," or "unleash potential." Replace them with straightforward language.
- Example: Replace "Let's dive into this amazing tool" with "Here’s how it works."
Step 3: Be direct and concise. Eliminate filler words and unnecessary phrases. Focus on getting to the point.
- Example: Say "We should meet tomorrow," instead of "I think it would be best if we could possibly try to meet."
Step 4: Maintain a natural tone. Write like you speak. It’s okay to start sentences with “and” or “but.” Make it feel conversational, not robotic.
- Example: “And that’s why it matters.”
Step 5: Avoid marketing buzzwords, hype, and overpromises. Use neutral, honest descriptions.
- Avoid: "This revolutionary app will change your life."
- Use instead: "This app can help you stay organized."
Step 6: Keep it real. Be honest. Don’t try to fake friendliness or exaggerate.
- Example: “I don’t think that’s the best idea.”
Step 7: Simplify grammar. Don’t worry about perfect grammar if it disrupts natural flow. Casual expressions are okay.
- Example: “i guess we can try that.”
Step 8: Remove fluff. Avoid using unnecessary adjectives or adverbs. Stick to the facts or your core message.
- Example: Say “We finished the task,” not “We quickly and efficiently completed the important task.”
Step 9: Focus on clarity. Your message should be easy to read and understand without ambiguity.
- Example: “Please send the file by Monday.”
Follow this structure rigorously. Your final writing should feel honest, grounded, and like it was written by a clear-thinking, real person.
Take a deep breath and work on this step-by-step."
Crafted by the great @rubenhssd (as seen on LinkedIn)
Google's MCP Toolbox for Databases is now open source 🔥
A single backend for connections, security, and schema-aware SQL tools, built for AI agents.
Compatible with Python, JS, Go, LangChain, and more.
Repo in 🧵 ↓
1/
Features include:
→ Declarative tool definitions (<10 LOC)
→ Secure by default with integrated authentication
→ Auth, pooling & fast queries out of the box
→ Native observability (OpenTelemetry)
→ Postgres, MySQL, Cloud SQL & more supported
Build & manage data pipelines with AI, using plain language!
→ Ingests, transforms & validates data from Cloud Storage
→ Generates SQLx, enforces quality, and updates pipelines
→ Scales across use cases via CLI, UI, or API