Learnetto AI directory
A compact directory for people who want practical AI skills and up-to-date official docs: prompting, automation, coding agents, MCP, model selection, AI product work, RAG, evals, model internals, and production AI engineering.
Daily growth loop
A rotating brief for keeping Learnetto fresh for learners, crawlers, and answer engines. Today's focus: Best AI search and deep research courses.
AI Q&A
Short, crawlable answers connected to fuller guides, educators, docs, courses, and videos.
Best AI agent courses
AI Agents in LangGraph is the best first pick for developers who want explicit state, tool use, and workflow control. Add a broader agents course after that if you want to compa...
Best AI agent courses
Learn a general agent loop first if you are new to tool calling. Choose LangGraph when you need stateful engineering patterns. Choose crewAI when your use case naturally splits ...
Best AI agent courses
It should teach planning, tool schemas, state, retries, tracing, guardrails, and failure handling. A course that only shows a polished autonomous demo is not enough for producti...
Best MCP courses and tutorials
DeepLearning.AI's MCP course is a strong short starting point, while Hugging Face's MCP Course is useful if you want a free structured route. Pair either with the official Anthr...
Best MCP courses and tutorials
Developers should start with a course that builds an MCP server, then read primary-source docs for client behavior, authentication, tool descriptions, resources, and deployment ...
Best MCP courses and tutorials
You should know what data the tool can expose, who may call it, how errors are returned, where secrets live, and whether the assistant should act directly or ask for human appro...
Recently added
New directory additions across educator videos, newsletters, social feeds, official model docs, agents, coding tools, and model-selection references. Refreshed Jun 23, 2026.
Choose how to scan the same daily picks: keep the current layout, mix formats, or read it like a feed.
You want the official OpenAI guide for durable repo instructions, nested overrides, and agent-ready project context.
You want the official OpenAI guide for packaging reusable skills with SKILL.md manifests instead of copying long instructions into every agent session.
You need to expose a private MCP server to OpenAI products without opening inbound firewall ports or publishing the server on the public internet.
You want the official OpenAI path for long-running research tasks that combine reasoning, web search, remote MCP servers, and detailed cited reports.
You want to orchestrate Codex inside a multi-agent or MCP-driven software workflow instead of using it only as a standalone coding assistant.
You need the official Gemini launch and shutdown timeline before relying on preview model IDs or older Flash variants.
You need the current Google model-page reference for the low-latency audio-to-audio Gemini 3.1 Flash Live Preview family before building voice-first agents.
You need Google's current recommended API surface for agentic workflows, server-side state, and complex multimodal conversations.
You want the newest official Gemini guide for wiring docs MCP, installable skills, and coding-agent best practices into software workflows.
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Video · Silicon Valley Girl
Watch this first when you want current AI operator examples for moving from prompts to repeatable team workflows.
Guide · OpenAI
You want the official OpenAI guide for durable repo instructions, nested overrides, and agent-ready project context.
Guide · OpenAI
You want the official OpenAI guide for packaging reusable skills with SKILL.md manifests instead of copying long instructions into every agent session.
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Video · Claude
Use this for Anthropic's current Claude Code direction, agent workflow framing, and developer tooling roadmap.
Guide · OpenAI
You need to expose a private MCP server to OpenAI products without opening inbound firewall ports or publishing the server on the public internet.
Guide · OpenAI
You want the official OpenAI path for long-running research tasks that combine reasoning, web search, remote MCP servers, and detailed cited reports.
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Video · Fireship
Use this as a fast technical recap of Google I/O 2026 and the Gemini-era product/model changes worth tracking.
Guide · OpenAI
You want to orchestrate Codex inside a multi-agent or MCP-driven software workflow instead of using it only as a standalone coding assistant.
Release notes · Google AI for Developers
You need the official Gemini launch and shutdown timeline before relying on preview model IDs or older Flash variants.
Model docs · Google AI for Developers
You need the current Google model-page reference for the low-latency audio-to-audio Gemini 3.1 Flash Live Preview family before building voice-first agents.
Guide · Google AI for Developers
You need Google's current recommended API surface for agentic workflows, server-side state, and complex multimodal conversations.
Silicon Valley Girl posted a video pick
2026 · ai adoption · business workflows
Watch this first when you want current AI operator examples for moving from prompts to repeatable team workflows.
OpenAI added guide
You want the official OpenAI guide for durable repo instructions, nested overrides, and agent-ready project context.
OpenAI added guide
You want the official OpenAI guide for packaging reusable skills with SKILL.md manifests instead of copying long instructions into every agent session.
Claude posted a video pick
2026 · claude code · coding agents
Use this for Anthropic's current Claude Code direction, agent workflow framing, and developer tooling roadmap.
OpenAI added guide
You need to expose a private MCP server to OpenAI products without opening inbound firewall ports or publishing the server on the public internet.
OpenAI added guide
You want the official OpenAI path for long-running research tasks that combine reasoning, web search, remote MCP servers, and detailed cited reports.
Fireship posted a video pick
2026 · gemini · frontier models
Use this as a fast technical recap of Google I/O 2026 and the Gemini-era product/model changes worth tracking.
OpenAI added guide
You want to orchestrate Codex inside a multi-agent or MCP-driven software workflow instead of using it only as a standalone coding assistant.
Google AI for Developers added release notes
You need the official Gemini launch and shutdown timeline before relying on preview model IDs or older Flash variants.
Google AI for Developers added model docs
You need the current Google model-page reference for the low-latency audio-to-audio Gemini 3.1 Flash Live Preview family before building voice-first agents.
Google AI for Developers added guide
You need Google's current recommended API surface for agentic workflows, server-side state, and complex multimodal conversations.
AI video library
Current picks across coding agents, MCP, model selection, RAG, evals, and production AI.
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Silicon Valley Girl · 2026, ai adoption, business workflows
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Claude · 2026, claude code, coding agents
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Fireship · 2026, gemini, frontier models
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Zen van Riel · 2026, agentic engineering, claude code
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Peter Yang · 2026, ai agents, claude code
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Teacher's Tech · 2026, claude code, ai agents
New directory
Find reusable skill registries, local agent harnesses, and AI worker products before choosing what to learn or buy.
Skill system
OpenClaw · Official docs
Use this to understand the OpenClaw skill format: markdown instruction files in directories with SKILL.md frontmatter and tool-use guidance.
Skill marketplace
OpenClaw · Registry
Use this when you need a public registry for OpenClaw skills and plugins rather than hand-copying skill folders.
Agent harness
OpenClaw · Open-source agent harness
Use this when you want an agent runtime you can shape with local skills, plugins, and workspace-level behavior.
Self-improving agent
Nous Research · Open-source agent
Use this when persistent memory, skill creation from completed tasks, and remote agent operation matter more than a simple chat UI.
AI assistant builder
Lindy · AI executive assistant
Use this when the job is business admin across apps rather than custom coding or local agent infrastructure.
AI coworker
Viktor · Slack and Teams AI employee
Use this when the adoption surface should be chat-native and team-facing rather than a separate automation builder.
Sorted for range: founders, product teams, developers, evals, model internals, and production systems.
| Educator | Best for | Skills | Start with |
|---|---|---|---|
| Indie founders, product builders | Founder workflows, Product ops, Automation | Read the public notes and examples before deciding whether the paid material matches your business. | |
| Founders, service business owners | Founder workflows, Systems, Automation | Look for workflow breakdowns and implementation examples. | |
| Product managers, founders | Product strategy, Writing, AI adoption | Review the Maven syllabus and compare it to your current product workflow. | |
| Product teams, founders | Product, Growth, Team adoption | Browse the How I AI interviews and copy the workflows that match your role. | |
| Knowledge workers, educators, leaders | AI literacy, Workplace adoption, Strategy | Read recent essays on using AI as a collaborator and on organizational adoption. | |
| Developers, AI engineers | AI engineering, Agents, Developer tools | Watch AI Engineer talks for production patterns and tool choices. | |
| Everyone from beginners to builders | Prompting, Agents, RAG, ML foundations | Start with ChatGPT Prompt Engineering for Developers, then pick a RAG or agents course. | |
| Coders learning deep learning | Deep learning, PyTorch, Model training | Practical Deep Learning for Coders, lesson 1. | |
| Developers, data scientists | Practical ML, Ethics, Education | Use fast.ai essays and course material alongside hands-on notebooks. | |
| Programmers who want model internals | Neural networks, Backprop, LLM internals | Watch micrograd, then makemore, then the GPT video. | |
| Developers, technical generalists | LLM tools, Prompting, AI safety, Local models, Model selection | Read the recent model-roundup posts, then try the llm command-line tool with two or three different providers. | |
| Developers building LLM apps | Structured outputs, Extraction, RAG | Try the Instructor examples for extraction and validation. |
Use these as quick routes into the directory.
Useful for: Everyone
Learn: What LLMs can and cannot do; Tokens, context windows, hallucinations; Privacy and data handling
Resources: DeepLearning.AI , Learn Prompting , Ethan Mollick
Useful for: Writers, operators, PMs, founders
Learn: Clear task framing; Examples and constraints; Editing, synthesis, and critique loops
Resources: Learn Prompting , DAIR.AI , Peter Yang
Useful for: Founders, operations teams, developers
Learn: Trigger-based workflows; Tool calling; Agent failure modes; Human review points
Resources: Brian Casel , Josh Pigford , AI Engineer
Useful for: PMs, designers, founders
Learn: AI UX patterns; Use-case selection; Prototyping; Measuring quality
Resources: Peter Yang , Lenny Rachitsky , Shreya Shankar
Useful for: Software developers
Learn: Codebase navigation; Test generation; Refactoring; Reviewing AI output
Resources: Simon Willison , Addy Osmani , Matt Pocock , AI Engineer
Useful for: Developers using coding agents and tool-connected workflows
Learn: How to structure instructions, memories, and skills; When to use MCP servers versus retrieval or file search; Subagents, hooks, and tool boundaries; How to keep agent context small, relevant, and testable
Resources: Anthropic , Hugging Face , OpenAI , Matt Pocock , Simon Willison
Useful for: Developers building AI apps
Learn: Chunking and retrieval; Structured extraction; Reranking; Grounded answers
Resources: Jason Liu , Hamel Husain , Eugene Yan
Useful for: AI product teams
Learn: Test sets; Human review; Regression checks; Quality metrics
Resources: Hamel Husain , Shreya Shankar , Chip Huyen
A rotating mix of official docs, hands-on guides, model catalogs, and practical AI engineering resources.
| Resource | Type | Level | Use when |
|---|---|---|---|
|
Gemini coding agents with MCP and Skills
Google AI for Developers
|
Guide | Intermediate | You want the newest official Gemini guide for wiring docs MCP, installable skills, and coding-agent best practices into software workflows. |
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OpenAI model guide
OpenAI
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Model docs | Beginner to advanced | You need to choose between GPT-5.5, GPT-5.5 Pro, GPT-5.4 mini, GPT-5.4 nano, reasoning levels, tool support, and cost-sensitive API paths. |
|
Claude Code best practices
Anthropic
|
Engineering guide | Intermediate to advanced | You want Anthropic's own recommendations for scaling Claude Code across larger codebases, parallel sessions, and stronger context discipline. |
|
Gemini Deep Research Agent
Google AI for Developers
|
Guide | Intermediate to advanced | You want the latest official Google docs for long-running research agents, cited reports, background execution, and MCP-aware investigation workflows. |
|
A Complete Guide To AGENTS.md
Matt Pocock
|
Guide | Intermediate | You want to write project instructions that help coding agents understand commands, conventions, architecture, and working boundaries. |
|
Claude Code overview
Anthropic
|
Guide | Intermediate | You want practical docs for using Claude as a coding agent across a real codebase and toolchain. |
|
Hugging Face Context Course
Hugging Face
|
Free course | Intermediate | You want a focused course on context engineering for code agents, including skills, subagents, hooks, and MCP. |
|
Model Context Protocol Tutorial
Matt Pocock
|
Free tutorial | Intermediate | You want to understand MCP and build TypeScript MCP servers over stdio or HTTP, connect Claude Code to tools, use MCP prompts, and package servers for distribution. |
