How to Cut Your AI Agent Costs in Half

Every AI agent starts every session with zero memory. No context, no history, just a blank slate that has to rediscover its environment from scratch, and that costs you real time and money.

In this episode of Inside the Stack, Jase Lindgren, Principal P4 User Advocate at Perforce, shows a simple fix: instead of re-prompting your agent every time, capture what it learns in a markdown file, then go one step further and turn that into a custom script. The result, tested across 15 runs: lower cost, faster execution, and better accuracy at catching real issues.

00:00 The problem: AI agents have no memory

01:30 Naive prompting run

03:00 Adding a markdown instructions file

05:00 Building a custom script

07:00 Results across 15 runs

Perforce | Inside the Stack

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