Small experiment: FreshContext reviews for AI/MCP projects

Small experiment: FreshContext reviews for AI/MCP projects

posted 1 min read

Small experiment: I’m opening a few FreshContext review slots this week.

If you’re shipping an AI tool, MCP server, repo, launch page, or retrieval workflow, I’ll check for stale-context risk and public trust issues:

  • stale examples or outdated claims
  • version mismatches across site, npm, registry, docs, etc.
  • unclear install/demo paths
  • missing source, timestamp, or provenance signals
  • broken links
  • failure states that look too confident

The output is a short, practical report with fixes you can act on.

This came directly from stabilizing FreshContext after shipping it publicly.

Email me if you want me to review yours:
Emails are not allowed

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Indie developer building FreshContext, a freshness-aware retrieval layer for AI agents. I write about MCP, Cloudflare Workers, retrieval systems, developer tools, and shipping small infrastructure products.
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