Transform your Slack into an AI workspace with a shared company brain. Set it up once, connect to every tool, and anyone can tag @Adapt to answer questions, build apps, and get work done.
Hi Product Hunt! 👋 I'm Ashley, founding team at Adapt.
AI at work is still happening in solo-player mode. We're changing that.
No one wins when AI power users operate in silos while everyone else struggles to do more with less resources and limited exposure to what "good AI" looks like.
Knowledge stays scattered across docs, stuck inside tools, and buried in dashboards that haven't been updated in months. Access is painful. No central source of truth exists for you or your agents.
Adapt is the company brain that finally fixes that. It pairs your tools, knowledge, and skills with one universal agent your whole team can use, just by tagging @Adapt wherever you work. Your entire team can use frontier AI with a shared context layer that's already set up for them. Shared integrations, shared knowledge, shared workflows - everyone can work AI native, without the slop.
As a marketer, I can tag Adapt in Slack to help me build a HubSpot workflow or vibe code a new email template. Or optimize ad campaigns across 4 platforms without 1000 clicks. In the same workspace, our engineers use Adapt to manage infra, write, and review code. New team members can onboard autonomously with Adapt.
As workflows become patterns, Adapt builds loops proactively and on a schedule. Your busywork gets automated, and your expertise becomes the differentiator. The whole team benefits.
We built Adapt as a system for working AI native together, not to replace your co-workers.
Our team is in the comments ready to respond to any of your questions today.
And you get $100 free credits just for signing up - so go try it out!
Report
@Adapt@grlwithcomputer The 'company brain' framing is compelling—autonomous systems are definitely the direction. I'm wondering how you handle edge cases where the AI's work outputs need human review or modification before client delivery. For service teams, that quality control layer is often the make-or-break moment between efficiency and liability.
Report
The shared context layer concept is interesting — making AI useful for the whole team rather than just power users. How does Adapt handle sensitive info in Slack that shouldn't be accessible to everyone who tags @Adapt?
@doganakbulut Personal integrations can be connected for sensitive data sources, and Adapt will only have access to those for the person tagging it. I can’t have Adapt check anyone else’s for me.
Private channels and DMs also give a space for sensitive discussions in a controlled group setting or just with you and Adapt.
In general, it starts with the organizations comfortability with integrations. So as an example, if an organization is uncomfortable with a sensitive data source being accessed (let’s say some revenue details or confidential information) then we recommend using a personal integration instead of a shared org-wide integration.
Then that way only the person who should have access to the integration can access and use that integration from any agent (slack, web ui, etc).
We have more to do in this area but we’re pretty confident in the approach we have thus far and welcome feedback to keep making it better!
Report
anyone in the workspace being able to tag this and trigger infra changes, ad spend, or autonomous onboarding is a wide blast radius for a low barrier action. shared context across that many tools is powerful, the access control behind who can actually trigger what matters just as much
We have granular permissions for integrations so that for data sources that are widely useful and safe (which is really defined by the customer’s risk tolerance!) customers can establish their usage model and availability of integrations.
So as a contrived example: I have my Gsuite setup as a personal integration because there’s zero likelihood I’d want others reading my emails. But that functionality of sending emails, looking at my calendar and planning, etc is highly useful. And then I and only I can use this integration!
Hope this makes sense — suggest you give it a try and let us know what you think!
As a founding engineer at Adapt, I’ve been dogfooding since day 1.
Adapt has changed what I’m able to accomplish so much that I would greatly miss it otherwise. For me, the best part is being able to get an answer to anything we’ve connected right in Slack. In the middle of a chat about a bug, I can tag Adapt and get a single reply with relevant PRs, logs checked, infra health, a new Linear issue created and a new PR with Adapt’s knowledge base updated for the next time. It’s awesome.
We’re proud to share this with Product Hunt. Seeing what @jimbenton has created in Adapt Apps blows my mind. He’s spun up internal dashboards pulling data from 5 different sources and created beautiful interactive decks just by telling Adapt what he wants.
The best way to get the most out of Adapt is to be upfront with your goals. Don’t hold back, just tell it what you do, what you need, and ask how it can help you accomplish that. We’ll take it from there!
Hello Product Hunt! I'm Sean, one of the co-founders at Adapt, working on all the technical stuff.
When I first started building out Adapt, I knew I wanted a system that was horizontal. I wanted a single "intelligence" connected to everything that I could interact with. My day-to-day used to involve hopping from service to service, trying to piece together bits of information, and generally losing efficiency from all the context switching. Now almost everything I'm doing goes through Adapt. Feature request comes in from a customer? I have Adapt pull in the relevant context from all previous interactions with that customer, find any related Linear issues, find similar feature requests from other customers, and then finally open up a PR implementing that feature and deploy a preview environment to test it.
Behind the scenes, we're spinning up sandboxes for the LLM to use. Every interaction with integrations happens through the LLM writing and executing whatever code it needs to for accessing those integrations. We're not limited by what happens to be exposed through an MCP server, we're interacting with these services directly through its API or working with a browser inside the sandbox. This architecture lends itself to supporting the vision of being a horizontal platform capable of connecting to anything.
Adapt is amazing. Easy to setup, and everyone in our team adopted it quickly after seeing it work for others on Slack. We use it to work across support tickets and production logs to see what's really happening. It's a superpower to triage across a bunch of different tools.
@andrewhomeyer Thanks, Andrew! Always so happy to hear when adoption spreads through watching other people use it. That's where the real magic happens. ✨
We’ve been using this at wander.com for the last 6 months. A shared agent, with shared context layer and integrations has been a great unlock. Requires complete hookup of data sources for the magic.
Adapt
Hi Product Hunt! 👋 I'm Ashley, founding team at Adapt.
AI at work is still happening in solo-player mode. We're changing that.
No one wins when AI power users operate in silos while everyone else struggles to do more with less resources and limited exposure to what "good AI" looks like.
Knowledge stays scattered across docs, stuck inside tools, and buried in dashboards that haven't been updated in months. Access is painful. No central source of truth exists for you or your agents.
Adapt is the company brain that finally fixes that. It pairs your tools, knowledge, and skills with one universal agent your whole team can use, just by tagging @Adapt wherever you work. Your entire team can use frontier AI with a shared context layer that's already set up for them. Shared integrations, shared knowledge, shared workflows - everyone can work AI native, without the slop.
As a marketer, I can tag Adapt in Slack to help me build a HubSpot workflow or vibe code a new email template. Or optimize ad campaigns across 4 platforms without 1000 clicks. In the same workspace, our engineers use Adapt to manage infra, write, and review code. New team members can onboard autonomously with Adapt.
As workflows become patterns, Adapt builds loops proactively and on a schedule. Your busywork gets automated, and your expertise becomes the differentiator. The whole team benefits.
We built Adapt as a system for working AI native together, not to replace your co-workers.
Our team is in the comments ready to respond to any of your questions today.
And you get $100 free credits just for signing up - so go try it out!
@Adapt @grlwithcomputer The 'company brain' framing is compelling—autonomous systems are definitely the direction. I'm wondering how you handle edge cases where the AI's work outputs need human review or modification before client delivery. For service teams, that quality control layer is often the make-or-break moment between efficiency and liability.
The shared context layer concept is interesting — making AI useful for the whole team rather than just power users. How does Adapt handle sensitive info in Slack that shouldn't be accessible to everyone who tags @Adapt?
Adapt
@doganakbulut Personal integrations can be connected for sensitive data sources, and Adapt will only have access to those for the person tagging it. I can’t have Adapt check anyone else’s for me.
Private channels and DMs also give a space for sensitive discussions in a controlled group setting or just with you and Adapt.
Adapt
@Adapt @doganakbulut we have thought about this a lot!
In general, it starts with the organizations comfortability with integrations. So as an example, if an organization is uncomfortable with a sensitive data source being accessed (let’s say some revenue details or confidential information) then we recommend using a personal integration instead of a shared org-wide integration.
Then that way only the person who should have access to the integration can access and use that integration from any agent (slack, web ui, etc).
We have more to do in this area but we’re pretty confident in the approach we have thus far and welcome feedback to keep making it better!
anyone in the workspace being able to tag this and trigger infra changes, ad spend, or autonomous onboarding is a wide blast radius for a low barrier action. shared context across that many tools is powerful, the access control behind who can actually trigger what matters just as much
Adapt
@abdullah_bin_asad hey! We agree!
We have granular permissions for integrations so that for data sources that are widely useful and safe (which is really defined by the customer’s risk tolerance!) customers can establish their usage model and availability of integrations.
So as a contrived example: I have my Gsuite setup as a personal integration because there’s zero likelihood I’d want others reading my emails. But that functionality of sending emails, looking at my calendar and planning, etc is highly useful. And then I and only I can use this integration!
Hope this makes sense — suggest you give it a try and let us know what you think!
Adapt
As a founding engineer at Adapt, I’ve been dogfooding since day 1.
Adapt has changed what I’m able to accomplish so much that I would greatly miss it otherwise. For me, the best part is being able to get an answer to anything we’ve connected right in Slack. In the middle of a chat about a bug, I can tag Adapt and get a single reply with relevant PRs, logs checked, infra health, a new Linear issue created and a new PR with Adapt’s knowledge base updated for the next time. It’s awesome.
We’re proud to share this with Product Hunt. Seeing what @jimbenton has created in Adapt Apps blows my mind. He’s spun up internal dashboards pulling data from 5 different sources and created beautiful interactive decks just by telling Adapt what he wants.
The best way to get the most out of Adapt is to be upfront with your goals. Don’t hold back, just tell it what you do, what you need, and ask how it can help you accomplish that. We’ll take it from there!
Adapt
Hello Product Hunt! I'm Sean, one of the co-founders at Adapt, working on all the technical stuff.
When I first started building out Adapt, I knew I wanted a system that was horizontal. I wanted a single "intelligence" connected to everything that I could interact with. My day-to-day used to involve hopping from service to service, trying to piece together bits of information, and generally losing efficiency from all the context switching. Now almost everything I'm doing goes through Adapt. Feature request comes in from a customer? I have Adapt pull in the relevant context from all previous interactions with that customer, find any related Linear issues, find similar feature requests from other customers, and then finally open up a PR implementing that feature and deploy a preview environment to test it.
Behind the scenes, we're spinning up sandboxes for the LLM to use. Every interaction with integrations happens through the LLM writing and executing whatever code it needs to for accessing those integrations. We're not limited by what happens to be exposed through an MCP server, we're interacting with these services directly through its API or working with a browser inside the sandbox. This architecture lends itself to supporting the vision of being a horizontal platform capable of connecting to anything.
We're excited to be sharing this with everyone!
Halp
Adapt is amazing. Easy to setup, and everyone in our team adopted it quickly after seeing it work for others on Slack.
We use it to work across support tickets and production logs to see what's really happening. It's a superpower to triage across a bunch of different tools.
Adapt
@andrewhomeyer Thanks, Andrew! Always so happy to hear when adoption spreads through watching other people use it. That's where the real magic happens. ✨
MCPJam Inspector
@andrewhomeyer Really appreciate the support Andrew!
LocalWander
We’ve been using this at wander.com for the last 6 months. A shared agent, with shared context layer and integrations has been a great unlock. Requires complete hookup of data sources for the magic.