Rachel Taylor

GTM @ Adapt

[Adapt @Adapt]

Your company, your agent.

A few beliefs about building a universal company agent:

1. You should own it, and it should feel like yours.

2. One agent surface. Not a swarm of fake coworkers with personalities and unique capabilities.

3. It should integrate with anything that has an API, not just MCP.

4. Every piece should be swappable for the best in the world at that piece. A full-stack AI platform, not a wrapper.

5. It should run anywhere, from on premises to fully managed. No lock-in.

6. It shouldn't be a framework or an unneeded abstraction. It should be just code you can run, own, and control.

https://t.co/B2LFC61KQa

We believe every company will have a central company agent.

Today a company's intelligence is scattered across its tools and the few people who know where everything lives. The company agent changes that.

At Adapt, our job is to build the infrastructure for your company agent.

It's time to build.

[Adapt @Adapt]

Own your AI

We've launched customized Slack apps so your company can have its own name and logo, with the power of the Adapt platform.

[Jim Benton @jim_benton]

We’re moving from asking, “What AI do you use?”
to “What AI does your company run on?”
to “What AI is running your company?”

Today, we’re launching your @ company agent in Adapt. Your company’s own AI, branded with your name and deployable within minutes.

Tag @ yourcompany in Slack and ask it to do the work.

As we go through this change, it is important that a company owns its AI.

Own the agent, @ yourcompany.
Own the knowledge it builds.
Own the model routing.
Own the experience.

The company agent is the durable layer. It gives your company access to the best frontier and open-weight models, choosing the right model for each task to balance quality, speed, and cost.

When you tag @ yourcompany, you’re talking directly to your business through one front door. It learns how your company works, chooses the right model and skill, delegates work to specialized agents, and becomes more valuable as your company’s knowledge grows.

A few things make this possible.

It has to connect to every system your employees rely on, with the right access and permissions to understand the business and take action.

It needs its own secure computer to write code, build apps, analyze data, operate software, and do the work.
It has to be everywhere your people work. Web, Slack, iMessage, GitHub, and more.

Vercel CEO Guillermo Rauch articulated this perfectly when describing @ v, the internal company agent they built.

“If agents become the foundation of modern companies, you being in complete control, from source to runtime to data to token, seems like a pretty big deal.”

Every company will have its own @ company agent.
Adapt is how you deploy yours.

What AI is running your company?

[Rachel Taylor @Rachshmee]

@jim_benton AI being owned by the company, in the company's actual name, and fully integrated, goes a long way to make sure employees trust & adopt AI at work

[Rachel Taylor @Rachshmee]

@_jacklwelsh Brb just going to switch models a bit and drop 83% costs without any infra rebuild.. so sick

[Jack Welsh @_jacklwelsh]

I cut my average AI cost per turn by 83% by switching up my Adaptive Intelligence model recipe. The "best" model is subjective, but lies somewhere on the intelligence-to-cost curve - it gives you the most efficient level of intelligence required to complete the task at hand.

[Dustin Schau @SchauDustin]

This is what we've been building at @Adapt! Check it out https://t.co/o3XPFDvAMf

[Dustin Schau @SchauDustin]

No human at Adapt sets up our Reddit ads anymore. Adapt does.

Setting up ads sucks. Convoluted, mundane, mostly hunting and pecking through less than ideal UIs.

So we pointed an agent at the Reddit Ads API instead. Every integration is just an API, not an MCP server, so Reddit is not special. The agent surface (sometimes thought of as a "worktree") is a Slack channel, the goal is stated in plain English, and a daily loop reports back with a human in the loop to confirm, observe, tweak, and iterate.

The part that makes it actually work: it optimizes against HubSpot signups, PostHog conversions, and BigQuery usage so there's a clear and measurable sense of return on investment that self-improves over time as conversions come in.

For Adapt, every integration is just a database, and we consume it to do work with the API.

Check it out 👉

[Rachel Taylor @Rachshmee]

@Jumballaya @Adapt adapt recording itself recording itself recording itself.. ha but seriously this is pretty incredible going from idea to full ad campaign in less than 1 hr.

[Rachel Taylor @Rachshmee]

@het_trivedi05 @Adapt pretty incredible to diagnose an issue w/ website conversions + push a fix in 4 mins

[Het Trivedi @het_trivedi05]

We had prospects visiting our demo page... and just not booking. I used the @Adapt agent to help me triage the issue and it turned out our Cal API was quietly failing for a chunk of users

[Jim Benton @jim_benton]

Things we hear on real calls. Fixed!

[Sean Smith @LegitSeanSmith]

LLMs know how to interact with files & filesystems really well. So we added a shared filesystem to our sandboxes letting any sandbox inside an organization share work, store knowledge, hand off tasks, and more. https://t.co/D8vrAbplAO

[Casey @Caseymanos]

not just a slack bot
made possible with an excellent team over at @PhotonHQ!

[Sean Smith @LegitSeanSmith]

https://t.co/GnJbXVG4JC