Are you tired of constantly briefing your AI about the same people and projects? @maxthoeny calls it “the re-explain pain”: before an agent can help, he has to repeat the context and latest updates every day. He connected his Adapter Mind to his @bot so he no longer has to.

Grok has direct connections to Slack, Gmail, Calendar, and other tools to verify current information and take action, like send an email, edit a doc, or update a project. Adapter gives it the context to know what matters before it starts looking or acting.

"If I'd had Adapter Bot at AWS, I would have slept a lot more (and probably earned my pilot's license sooner)" One of our founding engineers @ponzodi built the bot he wished he had while serving dozens of on-call rotations as an AWS engineer. It helps us build Adapter with Adapter.

@ponzodi asked the bot why several read endpoints were returning 500 errors. Adapter-Bot separated two overlapping failures, traced the relevant one through the application and its model-provider fallback chain, found the root cause, and opened a PR for him to review.

Personal taste is one of the most evasive things to describe and the hardest to solve. Getting it right means cohering high dimensional understanding from an enormous range of seemingly unrelated inputs all the time. That’s why Netflix’s “Suggested for You” can't beat a recommendation from a friend. @BilyTzo used Adapter to turn her scattered data into a personal taste graph. You can too. adapter.com/blog/book-recomm…

Bily still supplies her curiosity, judgment, and discernment, while Adapter Mind supplies persistent memory: it keeps absorbing new context and connecting it to what it already knows. Her taste remains hers: not trapped inside Goodreads, Netflix, Spotify, or any model.