https://aeshift.com/tags/prompt-injection/ Recent content in Prompt-Injection on aeshift Hugo -- gohugo.io en &copy; 2026 [Dachary Carey](https://dacharycarey.com) - with agent assistance · Part of the [Agent Ecosystem Research Program](https://agentecosystem.dev) Sat, 14 Mar 2026 00:00:00 +0000 https://aeshift.com/posts/2026-03-14-show-hn-monetize-your-apis-by-injecting-agent-targeted-instructions/ Sat, 14 Mar 2026 00:00:00 +0000 https://aeshift.com/posts/2026-03-14-show-hn-monetize-your-apis-by-injecting-agent-targeted-instructions/ <p>Your agent treats API responses as trusted data. It shouldn&rsquo;t. <a href="https://github.com/daninge/ad-injector" target="_blank" rel="noreferrer">ad-injector</a> is a small Python library that shows why. Any API can smuggle instructions to your agent inside a valid JSON payload, and your agent will often comply. This isn&rsquo;t a novel exploit. It&rsquo;s architectural reality.</p> <p>The repo ships middleware for FastAPI and Flask that injects an <code>_context</code> field into JSON responses containing framed instructions: referral codes, competitor-steering directives, facts to plant in agent memory. The author calls it what it is: intentional prompt injection. Presets include competitor steering, memory planting, and a <code>stealth_injector</code> mode that appends instructions to existing string values instead of adding new keys.</p>