Case studies

How Worklayer's two founders built a codebase where agents find, triage, and fix issues on compounding loops (Notion + PostHog + Traces + Graphite + Codex) — useful for AI-native engineering / dev-automation questions.

How David Zhang's open-source Codex Autorunner drives fleets of coding agents through tickets + a spec doc to complete ~12-hour build plans from anywhere — useful for multi-agent orchestration and long-horizon-task questions.

How Shann Holmberg's Espressio runs a closed-loop SEO/content agent that researches, drafts, and illustrates articles and ranked a brand-new domain in ~2 weeks — useful for GTM, content marketing, and SEO-automation questions.

How Shengkun Ye used Monid's agent-payable tools to mine competitor complaints on Reddit/X and find early users — useful for GTM, customer discovery, and agent-economy questions.

Yohei Nakajuma's 'the log is the agent' runtime that flattens everything into one event log to make agents replayable, forkable, and self-improving — useful for agent-architecture, durability, and self-improvement questions.

How Mason Hall built a personal knowledge graph his agents can query so 'what's the highest-leverage thing I can do today?' actually gets a useful answer — useful for personal AI memory / context-engineering questions.

How parallel research agents extract atomic facts into a vector-search-free knowledge graph, and an overnight generator/discriminator loop with self-written rubrics improves voice, email, and skills

How a small studio runs agents across ~150 repos from a keyboard-driven Cmux workstation, propagates best practices with a 'standards' repo, and mines agent session traces into reusable team skills.