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. 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...
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...
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 12, 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.
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.
You want OpenAI's September 10, 2026 overview of the Data agent in ChatGPT Work, which connects company data, investigates changes, and produces interactive dashboards through a conversational workflow.
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Video · Bitwise AI
Use this October 10 analysis to study how independent planning, review, sandbox verification, and differential tests can control a large automated rewrite.
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 GitHub talk when a useful local agent needs shared instructions, repeatable triggers, permissions, and review inside a repository workflow.
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.
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.
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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.
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.
Voice agent model launch · OpenAI
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.
Bitwise AI posted a video pick
2026 · Prime Agent · Rust
Use this October 10 analysis to study how independent planning, review, sandbox verification, and differential tests can control a large automated rewrite.
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 · 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.
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.
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.
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.
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.
OpenAI added voice agent model launch
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.
AI video library
Current picks across coding agents, MCP, model selection, RAG, evals, and production AI.
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Ash · 2026, local AI, open-weight models
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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
New directory
Find reusable skill registries, local agent harnesses, and AI worker products before choosing what to learn or buy.
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.
Engineering automation platform
VIKTOR.AI · AI-powered engineering apps and agents
Use this when the agent problem is domain engineering workflow automation, not general business admin.
Sorted for range: founders, product teams, developers, evals, model internals, and production systems.
| Educator | Best for | Skills | Start with |
|---|---|---|---|
| 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. | |
| ML engineers, data teams | Applied ML, Recommenders, LLM systems | Read the applied ML and LLM systems posts. |
Use these as quick routes into the directory.
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
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
A rotating mix of official docs, hands-on guides, model catalogs, and practical AI engineering resources.
| Resource | Type | Level | Use when |
|---|---|---|---|
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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. |
|
OpenAI model guide
OpenAI
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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
|
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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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. |
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How GitHub makes AI coding more cost efficient
GitHub
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Coding agent evaluation guide | Intermediate to advanced | You want GitHub's September 2, 2026 evidence for measuring coding-agent efficiency across the whole task, including selective output compression, preserving useful context, benchmark regressions, and controlled production experiments. |
