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 · Gemini developer API
Google’s specialized model returns probabilities for yes-or-no checks, fixed choices and ordered rubrics. Teams still need held-out tests and review thresholds.
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.
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...
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...
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 12, 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.
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 · AI Engineer
Watch this November 7 research talk when you need to decide which stage of a coding job deserves parallel agents and whether cheaper workers can reduce cost.
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 · OpenAI
Watch this November 6 introduction when you need to design agent evaluations around complete everyday outcomes rather than knowledge questions alone.
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.
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 · 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.
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.
AI Engineer posted a video pick
coding agents · multi-agent systems · ProgramBench
Watch this November 7 research talk when you need to decide which stage of a coding job deserves parallel agents and whether cheaper workers can reduce cost.
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.
OpenAI posted a video pick
LifeVal · AI agents · personal assistants
Watch this November 6 introduction when you need to design agent evaluations around complete everyday outcomes rather than knowledge questions alone.
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.
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.
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.
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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Dave Ebbelaar · local AI, Ollama, Tauri
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freeCodeCamp.org · Codex, agentic coding, AGENTS.md
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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
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.
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.
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.
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 |
|---|---|---|---|
|
AWS Emulator autonomous agent build guide
AWS
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AI agent engineering analysis | Intermediate to advanced | Understand how AWS used autonomous agents to build and maintain AWS Emulator, test the local tool safely and adapt its specification-and-gate workflow to your own coding agents. |
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Lazarus AI agent backdoor defense guide
Microsoft Research
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AI agent security analysis | Intermediate to advanced | Understand Microsoft's Lazarus model-backdoor research, assess open-weight agent risk and add provenance, isolation and monitoring controls before deployment. |
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Fireworks AI and Notion breach response guide
Learnetto
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AI infrastructure security analysis | Intermediate | Assess the Fireworks AI breach, review affected Notion AI transcripts and check credentials, datasets and vendor boundaries that may require action. |
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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. |
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NVIDIA board investigation and AI infrastructure risk guide
NVIDIA
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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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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
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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 Ori Harness
OpenRouter
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Coding-agent guide | Intermediate | You want to run an existing Codex, Claude Code, Grok Build, OpenCode, Pi, Prime Agent, Hermes, or DeepSeek Harness workflow against OpenRouter models without replacing the agent CLI you already use. |
