AI Summaries (evaluation playlist)
Every summary, chronological. Filter by category, tag, or source from the rail.
Symphony: Orchestrator Layer Scales AI Agents Past Human Bottlenecks
OpenAI's Symphony open-sources ticket-driven orchestration for coding agents, layering an orchestrator above inner/outer harnesses with guides/sensors to handle parallel work without clashing or constant supervision.
AI Summaries (evaluation playlist)Karpathy: Vibe Coding to Agentic Engineering Shift
Andrej Karpathy describes evolving from 'vibe coding'—where anyone can build quickly with AI—to 'agentic engineering,' a disciplined practice coordinating jagged LLMs as 'ghosts' to ship production-quality software faster than ever.
AI Summaries (evaluation playlist)Pi's Self-Modifying Agents: Power and Perils
Mario Zechner built Pi, a minimalist self-modifying AI coder powering OpenClaw. With Armin Ronacher, they praise its potential but warn against over-automation eroding code quality—human judgment remains key.
TradingAgents: LLM Hedge Fund Sim w/ Debating Teams
TradingAgents simulates a Wall Street firm using LLM agents—4 parallel analysts, bull/bear debaters, trader, risk, and portfolio manager—for fully traceable stock decisions that learn from past trades.
AI Summaries (evaluation playlist)Master DESIGN.md for AI Design Workflows
Google's DESIGN.md standardizes portable design systems for AI tools like Claude Design and Code, enabling inspiration-to-production landing pages without prompt drift or rebuilding.
Claude Code Automates Cold Email Lead Gen End-to-End
Use Claude Code's skills to voice-build Prospeo lists of 1,000 leads, Sonnet sub-agents for zero-extra-cost ICP filtering on SaaS firms, and Karpathy's auto-research repo to autonomously optimize campaigns outperforming humans on 10% volume.
AI Summaries (evaluation playlist)LLM Wikis: Shared Graphs Outperform RAG for AI-Human Knowledge
Build knowledge graphs in Obsidian as LLM Wikis—a persistent, AI-maintained wiki of interlinked markdown files that all AI tools share, scaling better than RAG for complex, relational queries across 3+ years of notes.
AI Summaries (evaluation playlist)