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.
Breaking · Frontier model
Anthropic reports stronger coding and research performance at a lower token price, while its system card and migration notes identify risks teams must test.
A measured rollout
Founder community · Online and in London
Ramen Club brings 500+ founders together to learn, ship, and get unstuck. Founder Charlie Ward runs the online community alongside Ramen Space in Dalston, where London founders can work, meet, and learn in person.
Online community
Live classes, a monthly demo day, mentor feedback, founder introductions, recordings, and an active Slack community.
London community
Founder coworking, AI workshops, events, stand-ups, and shared lunches at Ramen Space in Dalston.
Charlie Ward
Ramen Club founder and validation mentor
AI Q&A
Short, crawlable answers connected to fuller guides, educators, docs, courses, and videos.
The 10 best AI automation agencies in 2026
Build it internally when the process is low risk, the stack is simple, and someone can own failures and maintenance. Hire an agency when the workflow crosses important systems, ...
Best AI educators for beginners
Compare paths by the outcome they teach, the prerequisite level, the time commitment, and the evidence you will produce. Learnetto's learning paths separate foundations, agents,...
Best AI educators for beginners
Start with AI foundations, then choose one applied track such as coding, agents, RAG, product work, or automation. Finish that track with a small verifiable project before addin...
Best AI educators for product managers
Use a role-based mix rather than one generic course: product managers need use-case selection, UX, and evals; engineers need app-building and production AI; designers need inter...
Best AI resources for evals and reliability
Start with an agent-evaluation course that covers trajectories, tool calls, datasets, graders, and traces, then implement a small code-owned regression suite. Learnetto's eval g...
Best official AI provider docs and model catalogs
Learnetto groups current official provider docs, model catalogs, tutorials, and learning resources by task. For implementation details, verify the linked OpenAI, Anthropic, Goog...
Popular on Learnetto
Start with practical guides to current models, evaluation methods, courses, and educators.
Model guide
Understand zero-shot tabular prediction, hardware requirements, limits, licensing, and how to test Kumo against strong baselines.
Evaluation guide
Build an agent-evaluation suite with realistic tasks, calibrated graders, repeated trials, CI checks, and production monitoring.
Course guide
Compare beginner, free, vendor-specific, and advanced paths for learning agent evaluation and reliability.
Course guide
Choose a TypeScript or Python path for moving from LLM demos to reliable production AI applications.
Educator profile
Explore current training on AI-enabled service offers, client acquisition, sales systems, and repeatable delivery.
Educator profile
Find practical n8n automation, AI-agent building, and agency-starting resources for beginners and operators.
Recently added
New directory additions across educator videos, newsletters, social feeds, official model docs, agents, coding tools, and model-selection references. Today's selection: Nov 10, 2026.
Choose how to scan the same daily picks: keep the current layout, mix formats, or read it like a feed.
Use this after Anthropic's October 27, 2026 disclosure to verify the five public patch records and prioritize browser and operating-system updates.
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.
NVIDIA published Kumo Tabular weights on September 23, 2026 and its launch article on September 29. Use this guide to understand the in-context prediction workflow, run a baseline, size the GPU requirement, and test 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.
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.
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Video · Devsplainers
Watch this November 6 analysis when you need to compare an open-weight coding model with a hosted frontier coding agent using workload, quality and total-cost evidence.
AI-assisted vulnerability research analysis · Anthropic
Use this after Anthropic's October 27, 2026 disclosure to verify the five public patch records and prioritize browser and operating-system updates.
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.
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Video · Tristen O'Brien
Watch this November 5 tutorial when you want a beginner-friendly example of building a task agent in the Claude desktop app without starting in a terminal.
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.
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.
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Video · learnwithparam - AI Engineering Society
Watch this November 4 workshop when you need deterministic checks around code produced by Claude Code, Codex, Cursor or another coding agent.
Tabular foundation model explainer · NVIDIA
NVIDIA published Kumo Tabular weights on September 23, 2026 and its launch article on September 29. Use this guide to understand the in-context prediction workflow, run a baseline, size the GPU requirement, and test 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.
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.
Devsplainers posted a video pick
self-hosted AI · Claude Code · GLM 5.3
Watch this November 6 analysis when you need to compare an open-weight coding model with a hosted frontier coding agent using workload, quality and total-cost evidence.
Anthropic added ai-assisted vulnerability research analysis
Use this after Anthropic's October 27, 2026 disclosure to verify the five public patch records and prioritize browser and operating-system updates.
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.
Tristen O'Brien posted a video pick
Claude Code · AI agents · subagents
Watch this November 5 tutorial when you want a beginner-friendly example of building a task agent in the Claude desktop app without starting in a terminal.
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.
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.
learnwithparam - AI Engineering Society posted a video pick
coding agents · verification · Claude Code
Watch this November 4 workshop when you need deterministic checks around code produced by Claude Code, Codex, Cursor or another coding agent.
NVIDIA added tabular foundation model explainer
NVIDIA published Kumo Tabular weights on September 23, 2026 and its launch article on September 29. Use this guide to understand the in-context prediction workflow, run a baseline, size the GPU requirement, and test 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.
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.
AI video library
Current picks across coding agents, MCP, model selection, RAG, evals, and production AI.
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AI Mathias | AI Automation · Claude Fable 5.2, Claude Opus 5.5, coding benchmarks
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AI Engineer · coding agents, multi-agent systems, ProgramBench
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OpenAI · LifeVal, AI agents, personal assistants
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Devsplainers · self-hosted AI, Claude Code, GLM 5.3
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Tristen O'Brien · Claude Code, AI agents, subagents
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learnwithparam - AI Engineering Society · coding agents, verification, Claude Code
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.
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.
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 |
|---|---|---|---|
| Women entrepreneurs, local service owners, marketers | AI marketing, Canva, Flyers, Client attraction | Begin with the free prompts and 7-day marketing jumpstart, then make one real flyer or client-attraction asset. | |
| Indie founders, product builders | Founder workflows, Product ops, Automation | Read the public notes and examples before deciding whether the paid material matches your business. | |
| 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. |
Use these as quick routes into the directory.
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
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
A rotating mix of official docs, hands-on guides, model catalogs, and practical AI engineering resources.
| Resource | Type | Level | Use when |
|---|---|---|---|
|
Claude Fable 5.2 and Mythos 5.2 launch guide
Anthropic
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Frontier model news analysis | Intermediate to advanced | Use this analysis to decide whether Claude Fable 5.2 belongs in a demanding agent workflow, plan migration tests and understand why Mythos access remains restricted. |
|
Uber production AI agent security guide
Uber
|
AI agent security guide | Intermediate | Use this guide to turn a production agent's purpose, tools and risk level into enforceable checks before it can take sensitive actions. |
|
NVIDIA board investigation and AI infrastructure risk guide
NVIDIA
|
AI infrastructure news analysis | All levels | Use this analysis to separate NVIDIA's confirmed board investigation from unresolved allegations and review supplier continuity, access and governance risks. |
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GitHub Copilot code review API rollout guide
GitHub
|
AI code review guide | Intermediate | Use this guide to roll out Copilot code review across repositories without treating an AI review as a merge gate or giving review tools unnecessary access. |
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Claude Code local-settings secret leak response guide
Apiiro
|
AI coding-agent security analysis | Intermediate | Use this guide to find credentials recorded in Claude Code settings, rotate exposed secrets and prevent local approvals from entering Git history. |
|
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. |
|
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. |
|
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. |
