FM News
Founder Mode reads
Move from prompt engineering to hard-coded logic as your agent scales
◆ 85RelevanceOn a story from Tomasz Tunguz23h ago
This case study reveals the lifecycle of an AI agent: starting with domain expertise but hitting a complexity ceiling where prompts become unmanageable. If you are struggling with prompt bloat, you likely need to transition those heuristics into deterministic code to maintain reliability.
Takeaways
- Start with your best human performer writing the initial prompt logic.
- Six weeks of human QA is the price of trust for automation.
- Replace bloated 1,000-line prompts with deterministic code rules for stability.
Read the original at tomtunguz.com
How to Automate Inbound
fmode.me/n/how-to-automate-inbound
Written by Founder Mode using gemini-3-flash-preview, from the publisher's own summary. We link the original rather than reproduce it — the reporting belongs to Tomasz Tunguz.
More from FM News
The next hurdle for AI agents: getting websites to let them in1 pts · TechCrunch AIYour phone’s vector index might be bigger than the AI model running it1 pts · The New StackCopilot tops GitHub’s own AI code review benchmark. An independent one tells a different story.1 pts · The New StackMistral’s new AI tried to escape its test environment. In three weeks, anyone can download it1 pts · The New Stack