I automated a daily AI agent security digest so I'd stop missing critical research — here's the pipeline (and everything that broke)

Reddit r/AI_Agents News

Summary

The author built an automated pipeline using RSS feeds and Gemini AI to curate a daily AI agent security digest, overcoming challenges such as execution timeouts and curation accuracy.

A few weeks ago I realized I was consistently missing important stuff — new prompt injection techniques, agent security incidents, tooling releases — because it's scattered across 50+ sources with no single feed worth following. So I built one. RSS feeds → Gemini for curation and ranking → fully automated daily send. Here's what it took to get right: The naive version worked for about a week, then silently failed two mornings in a row. First an execution timeout (Apps Script caps you at 6 minutes — fetching 50+ feeds sequentially eats that fast), then a Gemini 503 under load with zero retry logic to catch it. Both are fixed now (retry/backoff, tighter fetch budget), but it was a good reminder that "it worked once" and "it's reliable" are very different bars. The harder problem wasn't the plumbing though — it was curation. Getting an LLM to reliably tell "this is a genuinely new technique" apart from "this is a rehash of last week's post" took more prompt iteration than the entire pipeline around it. Happy to go deeper on any part of this — the retry logic, the curation prompt, the architecture. Not trying to spam the sub with this, just sharing the build since it's the kind of thing I'd have wanted to read before starting. Link to the actual digest is in the comments per sub rules.
Original Article

Similar Articles

Just dropped an AI automation agent

Reddit r/AI_Agents

A developer built an end-to-end AI Customer Support Automation System using Google Gemini 2.0 Flash, FastAPI, PostgreSQL, React, and Docker, capable of classifying, generating responses, and auto-resolving repetitive support tickets with a human fallback.