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.
Interactive lab · AI research delegation
Build a research workflow, expose its dependency bottlenecks, and compare human-only, sequential-agent, and parallel-agent plans on time, cost, and clean-run probability.
AI Q&A
Short, crawlable answers connected to fuller guides, educators, docs, courses, and videos.
The 13 best AI SEO tools in 2026
No. Visibility products observe prompts, mentions, citations, and competitors. Writing and publishing products create or improve pages. Some vendors cross both categories, but t...
The 13 best AI SEO tools in 2026
No. A proprietary score is useful only if its recommendations improve the page for the intended reader. Compare factual corrections, editing time, CMS output, and results after ...
The 13 best AI SEO tools in 2026
Count the subscription, required tier upgrades, add-ons, setup, editorial labor, workflow maintenance, and unused allowances. Divide by accepted pages or decisions acted upon—no...
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...
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 11, 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.
SpaceXAI released Grok 4.7 on September 21, 2026 for coding, agentic tasks, and knowledge work. Use this guide to compare its task reliability and total cost with your current model.
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.
Qwen3.8-Omni-Flash launched September 18, 2026 for long audio and video analysis, text answers, web search, and tool-calling workflows.
Jev launched on September 15, 2026 as TypeSafe AI's first System One model: a non-chat model that turns application state into typed decisions and probabilities for software workflows.
You want OpenAI's September 10, 2026 launch guide for building long-running cloud agents with the managed Codex harness, context compaction, tool search, multi-agent delegation, and your choice of hosted or self-managed sandbox.
You want OpenAI's September 10, 2026 launch of GPT-Live-1 in the API for full-duplex voice agents, including its $0.05-per-minute front-end pricing and guidance on pairing it with a backend model and agent harness.
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Video · AI Engineer
Use this October 10 GitHub talk when a useful local agent needs shared instructions, repeatable triggers, permissions, and review inside a repository workflow.
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 10 security talk before allowing a coding agent to read private files, process untrusted content, and communicate outside its environment.
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 coding model launch explainer · SpaceXAI
SpaceXAI released Grok 4.7 on September 21, 2026 for coding, agentic tasks, and knowledge work. Use this guide to compare its task reliability and total cost with your current model.
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Video · Graham Neubig
Use this October 10 CMU lecture to understand why multi-step research requires iterative search, evidence tracking, citation checks, and benchmarks beyond single-hop question answering.
Multi-model routing launch explainer · Unbiased
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.
Omnimodal model launch explainer · Qwen
Qwen3.8-Omni-Flash launched September 18, 2026 for long audio and video analysis, text answers, web search, and tool-calling workflows.
System One Model launch · TypeSafe AI
Jev launched on September 15, 2026 as TypeSafe AI's first System One model: a non-chat model that turns application state into typed decisions and probabilities for software workflows.
Managed agent API launch and guide · OpenAI
You want OpenAI's September 10, 2026 launch guide for building long-running cloud agents with the managed Codex harness, context compaction, tool search, multi-agent delegation, and your choice of hosted or self-managed sandbox.
AI Engineer posted a video pick
2026 · GitHub Copilot · custom agents
Use this October 10 GitHub talk when a useful local agent needs shared instructions, repeatable triggers, permissions, and review inside a repository workflow.
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 · coding agent security · prompt injection
Use this October 10 security talk before allowing a coding agent to read private files, process untrusted content, and communicate outside its environment.
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.
SpaceXAI added frontier coding model launch explainer
SpaceXAI released Grok 4.7 on September 21, 2026 for coding, agentic tasks, and knowledge work. Use this guide to compare its task reliability and total cost with your current model.
Graham Neubig posted a video pick
2026 · deep research · search agents
Use this October 10 CMU lecture to understand why multi-step research requires iterative search, evidence tracking, citation checks, and benchmarks beyond single-hop question answering.
Unbiased added multi-model routing launch explainer
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.
Qwen added omnimodal model launch explainer
Qwen3.8-Omni-Flash launched September 18, 2026 for long audio and video analysis, text answers, web search, and tool-calling workflows.
TypeSafe AI added system one model launch
Jev launched on September 15, 2026 as TypeSafe AI's first System One model: a non-chat model that turns application state into typed decisions and probabilities for software workflows.
OpenAI added managed agent api launch and guide
You want OpenAI's September 10, 2026 launch guide for building long-running cloud agents with the managed Codex harness, context compaction, tool search, multi-agent delegation, and your choice of hosted or self-managed sandbox.
AI video library
Current picks across coding agents, MCP, model selection, RAG, evals, and production AI.
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Hamel Husain · 2026, agent simulations, evals
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Alexey Grigorev · 2026, AI engineering careers, coding agents
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Bitwise AI · 2026, Prime Agent, Rust
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AI Engineer · 2026, GitHub Copilot, custom agents
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AI Engineer · 2026, coding agent security, prompt injection
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Graham Neubig · 2026, deep research, search agents
New directory
Find reusable skill registries, local agent harnesses, and AI worker products before choosing what to learn or buy.
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 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.
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.
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.
Sorted for range: founders, product teams, developers, evals, model internals, and production systems.
| Educator | Best for | Skills | Start with |
|---|---|---|---|
| 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. | |
| 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. |
Use these as quick routes into the directory.
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
Useful for: Engineers who want deeper understanding
Learn: Neural nets from scratch; Transformers; Training loops; Fine-tuning basics
Resources: Andrej Karpathy , Sebastian Raschka , Jay Alammar
Useful for: Engineering teams
Learn: Observability; Cost and latency; Deployment; Data pipelines
Resources: Full Stack Deep Learning , Chip Huyen , Eugene Yan
Useful for: Leaders, managers, founders
Learn: Team habits; Org workflows; Policy; Change management
Resources: Ethan Mollick , Lenny Rachitsky , Latent Space
Useful for: Builders choosing between Claude, GPT, Gemini, Llama, Mistral, Cohere, DeepSeek, Qwen, Grok, Perplexity, and hosted open models
Learn: When to use Claude or GPT-class reasoning models for complex coding, analysis, and long-horizon agent work; How Gemini, Llama, Mistral, Cohere, DeepSeek, Qwen, Grok, and Perplexity differ by modality, openness, retrieval, coding, and price; Context windows, output limits, latency, pricing, tool support, and eval-based routing; How to migrate safely when frontier model versions change
Resources: Anthropic , OpenAI , Google AI for Developers , Meta Llama , Mistral AI , Cohere , DeepSeek , Qwen , xAI , Perplexity , Together AI , OpenRouter , Simon Willison
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
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
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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. |
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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. |
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Claude Code skills
Anthropic
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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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OpenRouter MCP Server
OpenRouter
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MCP guide | Intermediate | You want OpenRouter's official MCP path for pulling live models, prices, rankings, docs, and test calls into Codex, Claude Code, or another coding assistant while you compare providers. |
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Designing the hf CLI for agents
Hugging Face
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Agent tooling and evaluation guide | Intermediate | You want a measured guide to agent-friendly CLI design, including structured output, retry-safe commands, independent grading, and benchmarks showing where higher-level tools reduce calls and token use. |
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Codex for Builders
OpenAI
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Official training | Intermediate | You want OpenAI's practical Codex overview for real development workflows, including the CLI, IDE, GitHub, GPT-5-Codex, MCP, and code-review patterns. |
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OpenAI Tool search
OpenAI
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Guide | Intermediate to advanced | Your agent has a large function, namespace, or MCP catalog and you want GPT-5.4 or later models to load only the tool definitions needed at runtime, reducing context use while preserving prompt-cache efficiency. |
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A Complete Guide To AGENTS.md
Matt Pocock
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Guide | Intermediate | You want to write project instructions that help coding agents understand commands, conventions, architecture, and working boundaries. |
