Greg Isenberg shares 49 rules for building an AI-native company
Greg Isenberg has released a guide with 49 tips for building an "AI-native" company, which FinanceYF5 has compiled into a Chinese series. The core methodology: turn company knowledge into AI memory, distill repetitive work into Skills, and let Agents continuously execute and improve—covering enterprise knowledge bases, Skills, agent orchestration, automated production, and marketing growth, touching nearly every aspect of company operations.
Confirmed
- On knowledge management, Greg Isenberg recommends building a "second brain" folder in Obsidian, using markdown to capture personal thinking, writing, and decision-making; use Wispr voice input throughout the day, with an agent processing the recorded content (the seven-step brain-building method relayed by @jacobposel).
- Agent Skills implementation checklist: record workflows via screen recordings, establish a knowledge baseline—use a facts file to define the real company information Agents may cite, and a style file with roughly 50 excellent content pieces, 20 negative examples, and banned words; store files in a unified location and connect them to a memory system, turning Agents from unreliable performers that "start from scratch each time and often hallucinate" into reliable executors.
- Content production is divided among Agents: images via Nano Banana, video via HeyGen/fal, voice via ElevenLabs, music via Lyria/Suno, etc., so each execution produces more value, with experience distilled into the knowledge base for reuse.
Why it matters
The guide offers an actionable path to an AI-native company: not scattered experiments with AI tools, but systematically turning company knowledge and processes into assets so Agents can continuously and reliably take over operations from production to growth. For small teams and creator businesses, it provides a concrete reference from tool selection to process consolidation.
2026-11-14 ~ 2026-11-15 · 12 related posts
Primary sources
- [source] Greg Isenberg's 7-step playbook for building the most AI-pilled company — jacob_posel · 2026-11-14
- How far can a company take AI? Greg Isenberg's 49-point playbook — FinanceYF5 · 2026-11-15
- Greg Isenberg's 49 tips for building an AI-native company, from knowledge base to agents — FinanceYF5 · 2026-11-15
- [source] A practical checklist for turning company workflows into reusable Agent Skills — FinanceYF5 · 2026-11-15
- How to organize an agent team: orchestrators, coding agents, and Paperclip — FinanceYF5 · 2026-11-15
- Make skills executable: one skill per task, MCP tools, browser access — FinanceYF5 · 2026-11-15
- Cut agent costs: tiered model routing via OpenRouter, per-task accounting — FinanceYF5 · 2026-11-15
- Build an automated dev pipeline: parallel agents from spec to deploy — FinanceYF5 · 2026-11-15
- Make your AI system improve itself: regression sets, weekly handbook updates — FinanceYF5 · 2026-11-15
- Let agents run growth: Apollo prospecting, Instantly outreach, Meta ads loop — FinanceYF5 · 2026-11-15
- AI-native company guide: agents produce media content, knowledge compounds — FinanceYF5 · 2026-11-15
1 near-duplicate retellings: FinanceYF5