just felt like more people should know about deepwiki (from @cognition)
any github repo → instant docs you can actually chat with for free.
swap "https://t.co/jg7gMd1Rky" for "https://t.co/eVyYyfP8Mb" in any repo url and try it
At #KBOS this week with @0xEricChoi , Sept 9-10 at the Hynes.
We build landing page personalization at Probat AI and prove the lift with holdouts. If you're wrestling with attribution, come find us. If you're not, come find us anyway.
Stop us in the hallway or send a note.
Anthropic just published the most detailed guide I've seen on building commerce agents, and the article is packed with useful information.
The recommended design rests on a standard agent loop (ik suprising).
I have summarized my major takeaways 🧵
6/ This is the part that's applicable for all domains: the agent harness is what matters at the end of the day. The central model should always be a config change.
Read the article in greater detail here: https://t.co/YX2KaYTosD
5/ Bullet points on production:
I. Write memory async in a separate process (13% higher fact recall than a save tool)
II. Models should stage; Person / Policy should apply
III. Grade snapshots, not conversations when running evals