The 13 best AI SEO tools in 2026
How should I compare the real cost?
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...
Learnetto AI directory
Find the best AI educators, resources, and learning paths.
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.
183 educators
12 learning paths
10 agent tools
41 AI answers
625 resources
Interactive lab · AI research delegation
See where parallel AI agents actually save time
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
Answers to common AI learning questions
Short, crawlable answers connected to fuller guides, educators, docs, courses, and videos.
Best AI agent courses
What is the best AI agent course for developers?
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
Should I learn LangGraph, crewAI, or a general agent course first?
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
What should an AI agent course teach?
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
What is the best MCP course?
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...
Best MCP courses and tutorials
Where should developers learn Model Context Protocol?
Developers should start with a course that builds an MCP server, then read primary-source docs for client behavior, authentication, tool descriptions, resources, and deployment ...
Recently added
Daily new AI learning picks
New directory additions across educator videos, newsletters, social feeds, official model docs, agents, coding tools, and model-selection references. Today's selection: Oct 13, 2026.
Choose how to scan the same daily picks: keep the current layout, mix formats, or read it like a feed.
Technical article
FS Data Lab
How to Cost Your AI-Powered Filters
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.
ai-sql
inference cost
filter ordering
Connected-finance safety guide
OpenAI
ChatGPT Finances privacy and accuracy 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.
chatgpt
personal finance
connected accounts
Desktop agent safety guide
GitHub
GitHub Copilot computer use explained
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.
github copilot
computer use
desktop agents
Omnimodal model launch explainer
Qwen
Qwen3.8-Omni-Flash explained
Qwen3.8-Omni-Flash launched September 18, 2026 for long audio and video analysis, text answers, web search, and tool-calling workflows.
qwen3.8
omnimodal models
audio
System One Model launch
TypeSafe AI
Introducing System One Models & Jev
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.
jev
system one models
rlcd
Managed agent API launch and guide
OpenAI
Introducing the Agents API
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
agents
codex
Voice agent model launch
OpenAI
GPT-Live-1 in the API
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.
openai
voice agents
realtime
Data agent product guide
OpenAI
OpenAI Data agent in ChatGPT Work
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.
openai
data agents
analytics
Frontier AI safety policy guide
OpenAI
The AI policy window is open. We need to act.
You want OpenAI's September 9, 2026 policy proposal on frontier AI standards, independent assessments, incident reporting, and preserving human control as capabilities advance.
openai
ai safety
frontier models
►
Video · Alexey Grigorev
Trends in AI Engineering: Careers, Coding Agents & Evals | Hugo Bowne-Anderson & Alexey Grigorev
Use this October 10 discussion to choose practical AI engineering skills and decide where coding agents need tests, review, and product judgment.
Technical article · FS Data Lab
How to Cost Your AI-Powered Filters
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.
ai-sql
inference cost
filter ordering
roofline model
Connected-finance safety guide · OpenAI
ChatGPT Finances privacy and accuracy 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.
chatgpt
personal finance
connected accounts
plaid
►
Video · Bitwise AI
2,000 AI Agents Rewrote a Coding Agent in Rust
Use this October 10 analysis to study how independent planning, review, sandbox verification, and differential tests can control a large automated rewrite.
Desktop agent safety guide · GitHub
GitHub Copilot computer use explained
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.
github copilot
computer use
desktop agents
copilot cli
Omnimodal model launch explainer · Qwen
Qwen3.8-Omni-Flash explained
Qwen3.8-Omni-Flash launched September 18, 2026 for long audio and video analysis, text answers, web search, and tool-calling workflows.
qwen3.8
omnimodal models
audio
video
►
Video · AI Engineer
From Your Laptop to the Pipeline: Scaling Custom Agents with GitHub Copilot
Use this October 10 GitHub talk when a useful local agent needs shared instructions, repeatable triggers, permissions, and review inside a repository workflow.
System One Model launch · TypeSafe AI
Introducing System One Models & Jev
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.
jev
system one models
rlcd
structured decisions
Managed agent API launch and guide · OpenAI
Introducing the Agents API
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
agents
codex
context compaction
Voice agent model launch · OpenAI
GPT-Live-1 in the API
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.
openai
voice agents
realtime
api
Data agent product guide · OpenAI
OpenAI Data agent in ChatGPT Work
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.
openai
data agents
analytics
enterprise
VID
Alexey Grigorev posted a video pick
2026 · AI engineering careers · coding agents
Trends in AI Engineering: Careers, Coding Agents & Evals | Hugo Bowne-Anderson & Alexey Grigorev
Use this October 10 discussion to choose practical AI engineering skills and decide where coding agents need tests, review, and product judgment.
F
FS Data Lab added technical article
How to Cost Your AI-Powered Filters
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.
ai-sql
inference cost
filter ordering
roofline model
O
OpenAI added connected-finance safety guide
ChatGPT Finances privacy and accuracy 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.
chatgpt
personal finance
connected accounts
plaid
VID
Bitwise AI posted a video pick
2026 · Prime Agent · Rust
2,000 AI Agents Rewrote a Coding Agent in Rust
Use this October 10 analysis to study how independent planning, review, sandbox verification, and differential tests can control a large automated rewrite.
G
GitHub added desktop agent safety guide
GitHub Copilot computer use explained
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.
github copilot
computer use
desktop agents
copilot cli
Q
Qwen added omnimodal model launch explainer
Qwen3.8-Omni-Flash explained
Qwen3.8-Omni-Flash launched September 18, 2026 for long audio and video analysis, text answers, web search, and tool-calling workflows.
qwen3.8
omnimodal models
audio
video
VID
AI Engineer posted a video pick
2026 · GitHub Copilot · custom agents
From Your Laptop to the Pipeline: Scaling Custom Agents with GitHub Copilot
Use this October 10 GitHub talk when a useful local agent needs shared instructions, repeatable triggers, permissions, and review inside a repository workflow.
T
TypeSafe AI added system one model launch
Introducing System One Models & Jev
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.
jev
system one models
rlcd
structured decisions
O
OpenAI added managed agent api launch and guide
Introducing the Agents API
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
agents
codex
context compaction
O
OpenAI added voice agent model launch
GPT-Live-1 in the API
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.
openai
voice agents
realtime
api
O
OpenAI added data agent product guide
OpenAI Data agent in ChatGPT Work
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.
openai
data agents
analytics
enterprise
AI video library
Watch first
Current picks across coding agents, MCP, model selection, RAG, evals, and production AI.
►
Why Learn Machine Learning When AI Can Do It All?
Machine Learning Pills · 2026, machine learning, model evaluation
►
Local AI Is Only 4 Months Behind. I Did the Math.
Ash · 2026, local AI, open-weight models
►
How To Test AI Agents With Simulations
Hamel Husain · 2026, agent simulations, evals
►
Trends in AI Engineering: Careers, Coding Agents & Evals | Hugo Bowne-Anderson & Alexey Grigorev
Alexey Grigorev · 2026, AI engineering careers, coding agents
►
2,000 AI Agents Rewrote a Coding Agent in Rust
Bitwise AI · 2026, Prime Agent, Rust
►
From Your Laptop to the Pipeline: Scaling Custom Agents with GitHub Copilot
AI Engineer · 2026, GitHub Copilot, custom agents
New directory
AI skills, agent harnesses, and worker tools
Find reusable skill registries, local agent harnesses, and AI worker products before choosing what to learn or buy.
AI coworker
Viktor
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
Lindy · AI executive assistant
Use this when the job is business admin across apps rather than custom coding or local agent infrastructure.
Skill marketplace
ClawHub
OpenClaw · Registry
Use this when you need a public registry for OpenClaw skills and plugins rather than hand-copying skill folders.
Skill system
OpenClaw Skills
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
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
OpenClaw · Open-source agent harness
Use this when you want an agent runtime you can shape with local skills, plugins, and workspace-level behavior.
Educators to start with
Sorted for range: founders, product teams, developers, evals, model internals, and production systems.
| Educator | Best for | Skills | Start with |
|---|---|---|---|
| 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. | |
| ML engineers, researchers | RLHF, Post-training, Alignment | Read the RLHF book chapters in order. |
Choose by skill
Use these as quick routes into the directory.
Evals and reliability
Useful for: AI product teams
Learn: Test sets; Human review; Regression checks; Quality metrics
Resources: Hamel Husain , Shreya Shankar , Chip Huyen
Model internals
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
Production AI engineering
Useful for: Engineering teams
Learn: Observability; Cost and latency; Deployment; Data pipelines
Resources: Full Stack Deep Learning , Chip Huyen , Eugene Yan
Strategy and adoption
Useful for: Leaders, managers, founders
Learn: Team habits; Org workflows; Policy; Change management
Resources: Ethan Mollick , Lenny Rachitsky , Latent Space
Frontier models and model selection
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
AI foundations
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
Prompting and writing
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
Automation and agents
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
Resources worth opening
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
|
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. |
|
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. |
|
Codex for Builders
OpenAI
|
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. |
|
OpenAI Tool search
OpenAI
|
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. |
|
A Complete Guide To AGENTS.md
Matt Pocock
|
Guide | Intermediate | You want to write project instructions that help coding agents understand commands, conventions, architecture, and working boundaries. |
|
How GitHub makes AI coding more cost efficient
GitHub
|
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. |
|
Hugging Face Context Course
Hugging Face
|
Free course | Intermediate | You want a focused course on context engineering for code agents, including skills, subagents, hooks, and MCP. |