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.
Latest · OpenAI DevDay 2026
A verified guide to all 29 announcements, led by GPT-6.1 Sol, Dots, Codex updates, agent infrastructure, ChatGPT Space, and the new OpenAI Marketplace.
AI Q&A
Short, crawlable answers connected to fuller guides, educators, docs, courses, and videos.
Best AI resources for model release notes and migrations
Use OpenAI deprecations, Claude model deprecations, Gemini deprecations, DeepSeek updates and pricing, Mistral changelog, and xAI release notes. Pair those with the provider's m...
Best AI resources for model release notes and migrations
Watch the release notes, keep evals for your core workflows, compare the replacement model on your own prompts, and only then update the default model or alias. Treat migrations...
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 7, 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.
Anthropic released Claude Sonnet 5.5 on September 28, 2026. Use this guide to understand the efficiency claims, breaking API changes, and a safe migration test from Sonnet 5.
Fireworks released Ember-1 on September 23, 2026 as a Kimi K3-based model trained to use fewer reasoning tokens. Use this explainer to evaluate the quality, cost, latency, and context-growth claims on your own agent workload.
Google announced API Gateway MCP support on September 24, 2026. Use this explainer to assess the request flow, security boundary, preview limits, and a safe first rollout.
Anthropic reported ART on September 23, 2026. Use this explainer to separate what its agents found, what the lab confirmed, and what remains a hypothesis.
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.
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Video · CodeSnippet
Use this October 3 course for a detailed GitHub Copilot walkthrough covering setup, ask and plan modes, repository instructions, prompt files, skills, custom agents, MCP servers, hooks, and usage-based billing.
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 · Zubair Trabzada | AI Workshop
Use this October 2 hands-on walkthrough to map the API, retrieval, calendar, screen, research, and phone costs in a local Jarvis-style assistant. The prices are the creator's measured setup, not universal estimates.
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.
Model migration explainer · Anthropic
Anthropic released Claude Sonnet 5.5 on September 28, 2026. Use this guide to understand the efficiency claims, breaking API changes, and a safe migration test from Sonnet 5.
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Video · Matt Wolfe
Use this October 2 roundup to compare the week's major releases across OpenAI, Anthropic, Google, xAI, ElevenLabs, and Microsoft before following the primary sources.
Reasoning-efficient coding model explainer · Fireworks AI
Fireworks released Ember-1 on September 23, 2026 as a Kimi K3-based model trained to use fewer reasoning tokens. Use this explainer to evaluate the quality, cost, latency, and context-growth claims on your own agent workload.
MCP gateway launch explainer · Google Cloud
Google announced API Gateway MCP support on September 24, 2026. Use this explainer to assess the request flow, security boundary, preview limits, and a safe first rollout.
AI-assisted science explainer · Anthropic
Anthropic reported ART on September 23, 2026. Use this explainer to separate what its agents found, what the lab confirmed, and what remains a hypothesis.
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.
CodeSnippet posted a video pick
2026 · github copilot · coding agents
Use this October 3 course for a detailed GitHub Copilot walkthrough covering setup, ask and plan modes, repository instructions, prompt files, skills, custom agents, MCP servers, hooks, and usage-based billing.
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.
Zubair Trabzada | AI Workshop posted a video pick
2026 · claude sonnet 5.5 · personal agents
Use this October 2 hands-on walkthrough to map the API, retrieval, calendar, screen, research, and phone costs in a local Jarvis-style assistant. The prices are the creator's measured setup, not universal estimates.
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.
Anthropic added model migration explainer
Anthropic released Claude Sonnet 5.5 on September 28, 2026. Use this guide to understand the efficiency claims, breaking API changes, and a safe migration test from Sonnet 5.
Matt Wolfe posted a video pick
2026 · ai news · openai
Use this October 2 roundup to compare the week's major releases across OpenAI, Anthropic, Google, xAI, ElevenLabs, and Microsoft before following the primary sources.
Fireworks AI added reasoning-efficient coding model explainer
Fireworks released Ember-1 on September 23, 2026 as a Kimi K3-based model trained to use fewer reasoning tokens. Use this explainer to evaluate the quality, cost, latency, and context-growth claims on your own agent workload.
Google Cloud added mcp gateway launch explainer
Google announced API Gateway MCP support on September 24, 2026. Use this explainer to assess the request flow, security boundary, preview limits, and a safe first rollout.
Anthropic added ai-assisted science explainer
Anthropic reported ART on September 23, 2026. Use this explainer to separate what its agents found, what the lab confirmed, and what remains a hypothesis.
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.
AI video library
Current picks across coding agents, MCP, model selection, RAG, evals, and production AI.
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The Stack · 2026, iquest-q1, local models
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Tech With Tim · 2026, Python, agent harnesses
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Peter H. Diamandis · 2026, recursive self-improvement, claude sonnet 5.5
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CodeSnippet · 2026, github copilot, coding agents
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Zubair Trabzada | AI Workshop · 2026, claude sonnet 5.5, personal agents
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Matt Wolfe · 2026, ai news, openai
New directory
Find reusable skill registries, local agent harnesses, and AI worker products before choosing what to learn or buy.
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.
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.
Sorted for range: founders, product teams, developers, evals, model internals, and production systems.
| Educator | Best for | Skills | Start with |
|---|---|---|---|
| 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. | |
| Builders shipping LLM systems | Evals, RAG, LLM product quality | Read the evals guide and build a small test set for your own app. |
Use these as quick routes into the directory.
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
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
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. |
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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
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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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Gemini coding agents with MCP and Skills
Google AI for Developers
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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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Claude Code best practices
Anthropic
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Engineering guide | Intermediate to advanced | You want Anthropic's own recommendations for scaling Claude Code across larger codebases, parallel sessions, and stronger context discipline. |
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Grok 4.7 explained
SpaceXAI
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Frontier coding model launch explainer | Intermediate to advanced | 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. |
|
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. |
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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. |
