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How to Build for AI Agents and a Claude Code Second Brain in 25 Min | Ryan Wiggins
Peter Yang · 2026, ai agents, claude code, mcp
AI directory search
Use this when you know the topic you need: Claude Code, MCP, evals, RAG, agents, product, coding, prompting, foundations, or model internals.
14 matches for "choice"
Watch first when you want a fast feel for the topic before opening courses, docs, or profiles.
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Peter Yang · 2026, ai agents, claude code, mcp
AI Engineer · Intermediate to advanced
A useful hub for the emerging AI engineering stack and practitioner talks.
Skills
AI engineering, Agents, Developer tools
AI Tinkerers One-Shot · Intermediate
High-signal practitioner talks and demos that show what builders are actually trying, where agent systems break, and how workflows get stitched together in the real world.
Topics
Agents, Browser automation, AI engineering, Applied demos, Community learning
Anthropic Academy and Claude docs · Beginner to advanced
Official material for learning Anthropic's current Claude family, model tradeoffs, Claude Code, MCP, computer use, practical prompt workflows, and team model-governance workflows without relying on third-party summaries.
Topics
Claude models, Claude Code, MCP, Computer use, AI fluency, Frontier model selection, Model governance, Release notes
TypeSafe AI and Jev documentation · Intermediate to advanced
Official material for using Jev where software needs a bounded judgment, probability, or score rather than generated prose.
Topics
Jev, System One models, Typed decisions, Calibrated probabilities, Choice, Score, Noul, RLCD
OpenAI docs, Academy, and Cookbook · Beginner to advanced
Official model and implementation material for learning GPT-6 Astra and cost-sensitive GPT-5.6 choices, Codex workflows, subagents, memories, agent evals, MCP and connector patterns, retrieval, background jobs, prompt engineering, production best practices, model optimization, structured outputs, and OpenAI's Academy learning path.
Topics
GPT-6 Astra, GPT models, Reasoning models, Model selection, Agents, Subagents, RAG, Structured outputs, MCP, Evals, Memories
xAI Grok model docs · Beginner to advanced
Official xAI material for learning current Grok choices across chat, coding, image, video, and voice APIs, plus Build workflows, aliasing, and release-version behavior.
Topics
Grok 4.6, Grok Build, Reasoning models, Coding models, Image models, Video models, Model selection
Perplexity API quickstart · Beginner to advanced
Official material for learning web-grounded AI search, Agent API workflows, citations, MCP-server access, retrieval, and model choice.
Topics
AI search, Search API, Agent API, Grounded answers, Model selection, Research workflows, MCP
Workshop · Matt Pocock · Intermediate
You want a structured AI SDK v6 course that covers model choice, text and object generation, UI streams, agents, persistence, context engineering, evals, and advanced app patterns.
ai sdk, llm apps, agents, streaming, evals
Model and API introduction · TypeSafe AI · Intermediate
You want the current TypeSafe documentation for building with Jev: provide state, ask narrow Choice, Score, and Noul questions, receive typed values and probability distributions, then keep control flow and escalation policy in your code.
jev, system one models, choice, score, noul
Managed agent API launch and guide · OpenAI · Intermediate to advanced
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, multi-agent
Cookbook guide · OpenAI · Intermediate
You want a practical OpenAI walkthrough for model selection tradeoffs, eval design, and rollout testing instead of treating model choice as a static table lookup.
openai, model selection, evals, latency, cost
Guide · Anthropic · Intermediate to advanced
You need Anthropic's current guidance for setting default Claude Code models, restricting model choices, and managing team-level coding-agent policy.
anthropic, claude code, model selection, governance, coding agents
Guide · Cohere · Intermediate
You want Cohere's official embedding guidance for multilingual retrieval, semantic search, and RAG ingestion choices.
cohere, embeddings, rag, retrieval, multilingual