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.
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Check that each source exists, matches its metadata, supports the nearby claim, and remains suitable to use.
AI Q&A
Short, crawlable answers connected to fuller guides, educators, docs, courses, and videos.
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...
Best AI agent evaluation courses
Evaluate the full trajectory: tool calls, source use, intermediate decisions, final answer, and stopping behavior. Agent evals need traces and scenario datasets, not just final-...
Best AI agent evaluation courses
Evaluating AI Agents is the clearest course-style starting point. Follow it with OpenAI agent eval docs, Phoenix, Promptfoo, or Hamel Husain's eval material for practical implem...
Best AI agent evaluation courses
Include wrong tool choice, bad retrieval, stale data, unsafe actions, loops, missing clarification, and cases where the agent should stop. These are the failures that polished d...
Best coding agent courses
Building Coding Agents with Tool Execution is a strong first course if you want to understand tool use and iteration. Then study Claude Code, Codex, and real workflow examples f...
Recently added
New directory additions across educator videos, newsletters, social feeds, official model docs, agents, coding tools, and model-selection references. Today's selection: Oct 18, 2026.
Choose how to scan the same daily picks: keep the current layout, mix formats, or read it like a feed.
FS Data Lab published this guide on October 1, 2026. Use it when you want a rigorous way to estimate GPU latency and inference cost for AI-powered SQL filters, compare filter orderings, and understand how compute, memory bandwidth, selectivity, batching, and KV-cache reuse affect a query plan.
OpenAI announced on October 2, 2026 that ChatGPT Finances is rolling out to Free and Go users in the United States. Use this guide to understand the connected-account workflow, check the source data behind answers, and review privacy controls before linking an account.
GitHub released Copilot computer use in public preview on October 1, 2026. Use this guide to decide when visual desktop control is appropriate, enable it deliberately, and test its permission and stop controls before real work.
You want OpenAI's September 9, 2026 policy proposal on frontier AI standards, independent assessments, incident reporting, and preserving human control as capabilities advance.
You want Google's September 9, 2026 guide to evaluating coding agents with small behavioral checks, outcome-based assertions, and batch runs that catch regressions without treating a single benchmark score as the whole story.
You want Meta's September 8, 2026 technical account of defense-in-depth for a long-running personal agent, including isolated runtime cells, credential surrogates, a separate permission authority, tainted-egress tracking, scoped approvals, browser controls, red teaming, and prompt-injection evals.
You want Qwen Code's September 10, 2026 update on workflow run history, agent and token observability, context-usage inspection, combining Plan with YOLO mode, and named parallel channel tasks in isolated workspaces.
You want Google's September 2, 2026 launch details for Gemini 3.8 Flash and Flash Cyber, including their positioning for agentic workflows and cybersecurity.
You want Anthropic's September 1, 2026 architecture for combining customer-controlled data storage with automated misuse monitoring for sensitive frontier-model workloads.
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Video · AI Engineer
Use this October 14 talk before building an AI product whose core feature, model access, and user interface are easy for competitors to reproduce.
Technical article · FS Data Lab
FS Data Lab published this guide on October 1, 2026. Use it when you want a rigorous way to estimate GPU latency and inference cost for AI-powered SQL filters, compare filter orderings, and understand how compute, memory bandwidth, selectivity, batching, and KV-cache reuse affect a query plan.
Connected-finance safety guide · OpenAI
OpenAI announced on October 2, 2026 that ChatGPT Finances is rolling out to Free and Go users in the United States. Use this guide to understand the connected-account workflow, check the source data behind answers, and review privacy controls before linking an account.
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Video · AI Engineer
Use this October 14 talk when a team needs a repeatable production path for agents, including identity, reviewed tools, persistent state, traces, policy checks, and approval for sensitive actions.
Desktop agent safety guide · GitHub
GitHub released Copilot computer use in public preview on October 1, 2026. Use this guide to decide when visual desktop control is appropriate, enable it deliberately, and test its permission and stop controls before real work.
Frontier AI safety policy guide · OpenAI
You want OpenAI's September 9, 2026 policy proposal on frontier AI standards, independent assessments, incident reporting, and preserving human control as capabilities advance.
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Video · AI Engineer
Use this October 14 talk to audit where coding agents run, which credentials they can read, how they reach production, and whether investigators can trust the resulting logs.
Coding agent evaluation guide · Google Developers Blog
You want Google's September 9, 2026 guide to evaluating coding agents with small behavioral checks, outcome-based assertions, and batch runs that catch regressions without treating a single benchmark score as the whole story.
Agent security architecture guide · Meta AI
You want Meta's September 8, 2026 technical account of defense-in-depth for a long-running personal agent, including isolated runtime cells, credential surrogates, a separate permission authority, tainted-egress tracking, scoped approvals, browser controls, red teaming, and prompt-injection evals.
Coding agent workflow release notes · Qwen
You want Qwen Code's September 10, 2026 update on workflow run history, agent and token observability, context-usage inspection, combining Plan with YOLO mode, and named parallel channel tasks in isolated workspaces.
Model launch and selection guide · Google AI
You want Google's September 2, 2026 launch details for Gemini 3.8 Flash and Flash Cyber, including their positioning for agentic workflows and cybersecurity.
AI Engineer posted a video pick
2026 · AI product strategy · novelty budget
Use this October 14 talk before building an AI product whose core feature, model access, and user interface are easy for competitors to reproduce.
FS Data Lab added technical article
FS Data Lab published this guide on October 1, 2026. Use it when you want a rigorous way to estimate GPU latency and inference cost for AI-powered SQL filters, compare filter orderings, and understand how compute, memory bandwidth, selectivity, batching, and KV-cache reuse affect a query plan.
OpenAI added connected-finance safety guide
OpenAI announced on October 2, 2026 that ChatGPT Finances is rolling out to Free and Go users in the United States. Use this guide to understand the connected-account workflow, check the source data behind answers, and review privacy controls before linking an account.
AI Engineer posted a video pick
2026 · enterprise AI agents · MCP authorization
Use this October 14 talk when a team needs a repeatable production path for agents, including identity, reviewed tools, persistent state, traces, policy checks, and approval for sensitive actions.
GitHub added desktop agent safety guide
GitHub released Copilot computer use in public preview on October 1, 2026. Use this guide to decide when visual desktop control is appropriate, enable it deliberately, and test its permission and stop controls before real work.
OpenAI added frontier ai safety policy guide
You want OpenAI's September 9, 2026 policy proposal on frontier AI standards, independent assessments, incident reporting, and preserving human control as capabilities advance.
AI Engineer posted a video pick
2026 · coding agent security · sandboxing
Use this October 14 talk to audit where coding agents run, which credentials they can read, how they reach production, and whether investigators can trust the resulting logs.
Google Developers Blog added coding agent evaluation guide
You want Google's September 9, 2026 guide to evaluating coding agents with small behavioral checks, outcome-based assertions, and batch runs that catch regressions without treating a single benchmark score as the whole story.
Meta AI added agent security architecture guide
You want Meta's September 8, 2026 technical account of defense-in-depth for a long-running personal agent, including isolated runtime cells, credential surrogates, a separate permission authority, tainted-egress tracking, scoped approvals, browser controls, red teaming, and prompt-injection evals.
Qwen added coding agent workflow release notes
You want Qwen Code's September 10, 2026 update on workflow run history, agent and token observability, context-usage inspection, combining Plan with YOLO mode, and named parallel channel tasks in isolated workspaces.
Google AI added model launch and selection guide
You want Google's September 2, 2026 launch details for Gemini 3.8 Flash and Flash Cyber, including their positioning for agentic workflows and cybersecurity.
AI video library
Current picks across coding agents, MCP, model selection, RAG, evals, and production AI.
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Turing Post TV · 2026, agent harness, AI agents
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AI Engineer · 2026, multi-agent systems, managed agents
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AI Engineer · 2026, AI engineering, agent loops
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AI Engineer · 2026, AI product strategy, novelty budget
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AI Engineer · 2026, enterprise AI agents, MCP authorization
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AI Engineer · 2026, coding agent security, sandboxing
New directory
Find reusable skill registries, local agent harnesses, and AI worker products before choosing what to learn or buy.
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.
Workflow skill catalog
Matt Pocock / AI Hero · Skill catalog
Use this when you want opinionated coding-agent workflows instead of generic prompt snippets.
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.
Skill marketplace
OpenClaw · Registry
Use this when you need a public registry for OpenClaw skills and plugins rather than hand-copying skill folders.
Agent orchestration
Builderz Labs · Open-source dashboard
Use this when the hard part is seeing, assigning, and coordinating agent work rather than writing another prompt.
AI worker platform
Mission Control AI · Preconfigured AI workers
Use this when you want role-specific AI workers with SOPs, integrations, and governance policies already built in.
Sorted for range: founders, product teams, developers, evals, model internals, and production systems.
| Educator | Best for | Skills | Start with |
|---|---|---|---|
| Builders shipping LLM systems | Evals, RAG, LLM product quality | Read the evals guide and build a small test set for your own app. | |
| Engineers, PMs, AI product teams | Evals, LLM reliability, Product quality | Review the course outcomes and pair it with a real feature you can evaluate. | |
| Engineers, ML practitioners | AI engineering, Systems, Production ML | Use the book page and related essays as a production engineering path. | |
| Beginners, educators, teams | Prompting, AI literacy, Security | Start at the fundamentals section, then move to prompt hacking/security. | |
| Developers, researchers | Prompting, RAG, Reasoning, Agents | Use the prompting techniques and RAG sections as a reference. | |
| ML engineers, data teams | Applied ML, Recommenders, LLM systems | Read the applied ML and LLM systems posts. | |
| ML engineers, researchers | RLHF, Post-training, Alignment | Read the RLHF book chapters in order. | |
| Programmers learning LLM internals | LLM internals, PyTorch, Model training | Clone the repo and work through the notebooks with the book. | |
| Visual learners, developers | Transformers, Embeddings, LLM concepts | Read The Illustrated Transformer, then The Illustrated GPT-2. | |
| Engineers, researchers | Agents, RAG, ML research | Read the posts on LLM-powered autonomous agents and prompt engineering. | |
| Developers, engineering leaders | AI coding, Engineering workflows, Frontend | Look for AI coding and engineering workflow posts. | |
| Developers and self-directed learners building with AI coding agents | AI coding, Claude Skills, Agentic workflows, AI SDK, MCP, LLM fundamentals, Personalized learning | Use LLM Fundamentals or the AI Engineer Roadmap if you need concepts, the Vercel AI SDK Tutorial or AI SDK v6 Crash Course if you want to build apps, and the AI Skills catalog if you want practical agent workflows like /teach, /grill-me, /tdd, and /triage. |
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 |
|---|---|---|---|
|
How to Cost Your AI-Powered Filters
FS Data Lab
|
Technical article | Advanced | FS Data Lab published this guide on October 1, 2026. Use it when you want a rigorous way to estimate GPU latency and inference cost for AI-powered SQL filters, compare filter orderings, and understand how compute, memory bandwidth, selectivity, batching, and KV-cache reuse affect a query plan. |
|
OpenAI model guide
OpenAI
|
Model docs | Beginner to advanced | You need to choose between current GPT-5.6 variants, smaller GPT-5.4 variants, reasoning levels, tool support, and cost-sensitive API paths, including the current default starting points of GPT-5.6 Sol, Terra, and Luna. |
|
Claude Code skills
Anthropic
|
Guide | Intermediate | You want Anthropic's official guide for packaging reusable Claude Code skills instead of leaving long instructions inline in every session. |
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Simon Willison on GPT-6 Astra
Simon Willison
|
Model analysis | Intermediate to advanced | You want a concise independent read of GPT-6 Astra's launch claims, benchmark caveats, long-context results, pricing, and early comparison with Claude Fable 5.1 and GPT-5.6 Sol. |
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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. |
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Union Alpha revealed as Pareto 26.9
Unbiased
|
Multi-model routing launch explainer | Intermediate to advanced | Union Alpha was revealed as Unbiased's Pareto 26.9 on September 17, 2026: a hosted system that routes work across several models and returns one checked answer. |
|
OpenRouter Ori Harness
OpenRouter
|
Coding-agent guide | Intermediate | You want to run an existing Codex, Claude Code, Grok Build, OpenCode, Pi, Prime Agent, Hermes, or DeepSeek Harness workflow against OpenRouter models without replacing the agent CLI you already use. |
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Qwen Code September 3 weekly update
Qwen
|
Coding agent release notes | Beginner to advanced | You want Qwen's September 3, 2026 practical guide to its latest coding-agent workflows, including learning-oriented output styles, scheduled tasks, a browser terminal, safer workspace writes, skills, MCP stability, and current vision-model support. |
