This week in Adapt: app version history, personalized suggestions, and smarter channel setup
Adapt now tracks and lets you switch between app versions, suggests integrations based on how you actually work, and prompts new channels to set up the right reply behavior automatically.
This week in Adapt: browser actions, personal knowledge, and branded workspaces
Adapt can now take action in your browser, remember personal preferences without cluttering company knowledge, and make your workspace feel like your own with organization logos.
Agents need a shared filesystem
Why persistent, organization-wide storage is a foundational primitive for AI agents that need to build on one another's work.
How to build a natural-language agent
The trick is not writing more code. It is teaching your agent the way you would teach a new teammate: show it the work with full context, write down how you do it, then let it do real work.
The Agentic Loop: Building a Software Factory Worth Its Tokens
An agentic loop is an LLM that works in a loop until the job is done. How those loops stack into a software factory, and how to keep one worth its tokens.
This week in Adapt: access policies, text your agent, and gated PRs
Adapt now supports natural-language, group-based policies for integration access, works over iMessage and RCS, pulls specialized data into research, connects Shopify through your own OAuth app, and gates pull requests as a required GitHub check.
AI Code Review Needs More Than the Diff
AI code review needs more than the diff. What we learned replacing Greptile with automated code review that learns our team's standards and taste.
Welcoming Ryan Miyahara
Ryan joins Adapt as a Product Engineer, building the knowledge layer that makes the integrated coworker smarter every day.
How we run sandboxes for agents at scale
Why we let the LLM run arbitrary code in sandboxes, and what it takes to run thousands at once, from gVisor to Firecracker.
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