Taeho Kim
HomeWritingNotesReadingAbout
KOEN
Menu
HomeWritingNotesReadingAbout
KOEN

AI

State-of-the-Art Prompt Engineering for AI Agents

Harvest·May 31, 2025·15 min·gpt-4.1-2025-04-14Original source
State-of-the-Art Prompt Engineering for AI Agents preview image
State-of-the-Art Prompt Engineering for AI Agents preview image

A comprehensive guide to modern prompt engineering for AI agents -- covering system prompts, tool use patterns, chain-of-thought reasoning, evaluation strategies, real-world deployment patterns, and the emerging power of meta-prompts that generate optimized prompts automatically.

Related writing

Harvest•Startup · AI•English

Your Startup May Already Be Obsolete

Steve Blank argues that many startups older than two years are now operating on outdated assumptions. His core advice is to pause, reassess the market, and redesign for the AI-native era instead of blindly continuing the old plan.

Apr 15, 2026Read more
Harvest•Startup · AI•English

Anthropic Conway and the New Agent Lock-In

This piece argues that Anthropic's leaked Conway project matters less as a code leak and more as a signal of a new platform strategy. The deeper risk is behavioral lock-in: agents learning how you work and making that knowledge hard to move.

Apr 8, 2026Read more
Harvest•AI · Data & Decision-Making•English

AI Arbitrage in the Age of Bots

AI is compressing old arbitrage windows and creating new ones at the same time. The Polymarket bot example shows how quickly speed, reasoning, and discipline gaps can now turn into economic advantage.

Apr 8, 2026Read more

Taeho Kim · 2026

LinkedInSubstackGitHub