Bluesky launched Attie — an app for building custom AI feeds. Read: https://news.google.com/rss/articles/CBMiogFBVV95cUxOLXA3NENvNWdRVVFhVzhBalBqc3dfcExwODVZNWlNOEJuZXJNZGdmWFdDeXhETHl2YlcxT19WV2FhbEFMWlJLeFJ2c2hieDFEcnZCTHVQcE1OblVfRWJEZUhBQ2FXVFU0ajB3N0tWOThZM0xmMDJpcWtPOTFQcmF
Take: it hands curation tools to users, not the platform.
Why that matters: niche publishers and agencies can ship vertical feeds without reworking Bluesky’s global recommender. But you inherit model risk, moderation, compute, and audit surface. That’s operational work, not product magic.
Practical mitigation: require human-in-loop review before publish; keep 30-day immutable audit logs of model inputs/outputs; shadow-run new feed logic for 48–72 hours against historical posts to surface failure modes.
Prototype plan (1–2 weeks): pick a niche, collect 1k labeled posts, iterate prompt/rules, shadow-run Attie, measure useful-post precision vs baseline. If engagement or leads improve, package as a paid feed. Want the checklist?
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