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.
New guide · Model migration
Compare candidates on the same real tasks, measure quality and whole-job cost, shadow live traffic, then canary with a tested rollback route.
AI Q&A
Short, crawlable answers connected to fuller guides, educators, docs, courses, and videos.
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...
Best AI resources for model release notes and migrations
Follow the official changelog or release-note page for every provider you actively use, plus its deprecations or shutdown page if available. OpenAI, Anthropic, Gemini, DeepSeek,...
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...
The 14 best AI SEO tools in 2026
Evatype is the strongest fit when the repeated failure is getting researched, approved website pages published. Surfer or Frase fit a team that already has writers, while Otterl...
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 22, 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 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.
NVIDIA released Kumo Tabular on September 29, 2026. Use this guide to understand its in-context prediction workflow, reproduce a baseline, and test its vendor-reported results on your own tables.
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.
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Video · AI Engineer
Use this October 20 talk when preparing an AI platform for security, privacy, disaster-recovery, and evidence reviews in a regulated customer environment.
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 20 talk when deciding which investment-research work an AI system can prepare and which decisions must remain with an accountable person.
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 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.
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Video · AI Engineer
Use this October 20 talk when evaluating machine-to-machine payments or designing an agent that can buy API calls under strict limits.
Agent security architecture guide · Anthropic
You want Anthropic's September 1, 2026 architecture for combining customer-controlled data storage with automated misuse monitoring for sensitive frontier-model workloads.
Tabular foundation model explainer · NVIDIA
NVIDIA released Kumo Tabular on September 29, 2026. Use this guide to understand its in-context prediction workflow, reproduce a baseline, and test its vendor-reported results on your own tables.
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.
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.
AI Engineer posted a video pick
2026 · banking · AI compliance
Use this October 20 talk when preparing an AI platform for security, privacy, disaster-recovery, and evidence reviews in a regulated customer environment.
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 · investment research · human judgment
Use this October 20 talk when deciding which investment-research work an AI system can prepare and which decisions must remain with an accountable person.
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.
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 Engineer posted a video pick
2026 · agent payments · x402
Use this October 20 talk when evaluating machine-to-machine payments or designing an agent that can buy API calls under strict limits.
Anthropic added agent security architecture guide
You want Anthropic's September 1, 2026 architecture for combining customer-controlled data storage with automated misuse monitoring for sensitive frontier-model workloads.
NVIDIA added tabular foundation model explainer
NVIDIA released Kumo Tabular on September 29, 2026. Use this guide to understand its in-context prediction workflow, reproduce a baseline, and test its vendor-reported results on your own tables.
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.
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.
AI video library
Current picks across coding agents, MCP, model selection, RAG, evals, and production AI.
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AI Engineer · 2026, model migration, latency
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AI Engineer · 2026, GPU serving, inference
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AI Engineer · 2026, coding agents, internal platforms
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AI Engineer · 2026, banking, AI compliance
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AI Engineer · 2026, investment research, human judgment
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AI Engineer · 2026, agent payments, x402
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.
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 |
|---|---|---|---|
| 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. | |
| AI engineers, founders, researchers | AI engineering, Industry context, Model ecosystem | Pick interviews with engineers building tools you already use. | |
| Researchers, advanced builders | NLP research, Open models, Multilingual AI | Browse research posts and community programs. | |
| Founders, SaaS CEOs, business leaders | AI leadership, Founder workflows, Business systems, Automation | Start with Craig's site and the 100 Days of AI videos on YouTube, then copy one workflow into your own business before looking for more tools. | |
| Business owners, operators, no-code builders | AI automation, n8n, Business workflows, AI operating systems | Join the free Skool group, complete the start-here material, and build one small workflow for a recurring business task. |
Use these as quick routes into the directory.
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
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
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
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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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Qwen Code September 3 weekly update
Qwen
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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. |
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Muse Spark 1.3
Meta AI
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Model launch and selection guide | Intermediate | You are comparing frontier models for long-horizon coding or knowledge work and need Meta's September 2, 2026 release notes on Muse Spark 1.3's tool use, instruction following, user steering, multitasking, model self-awareness, and availability through Muse Code and Meta Model API. |
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Project HydraFusion
GitHub
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Model orchestration research preview | Intermediate to advanced | You want GitHub's September 4, 2026 technical explanation of runtime model orchestration for coding tasks, including plan decomposition, draft-critique-revise patterns, model cascading, evaluation design, and quality-versus-cost tradeoffs. |
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Claude Code: A Highly Agentic Coding Assistant
DeepLearning.AI
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Short course | Beginner to intermediate | You want a structured Claude Code course before using it on a serious codebase. |
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Awesome Agent Skills
VoltAgent
|
GitHub repo | Intermediate | You want a larger, current catalog of real-world agent skills that can be studied, adapted, and compared across Claude Code, Codex, Gemini CLI, Cursor, and similar tools. |
