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Adapt is the universal AI agent that runs on your company brain. Gets instant answers for complex questions, automate workflows on-demand, schedule tasks, and build internal apps with full context of your business. Set it up once and everyone can use it on Slack, web, or mobile.
Medium
AdaptMedium is recommended for avid readers seeking a variety of topics ranging from personal development to technology. It's also ideal for writers looking to publish their work to a broad audience and potentially earn revenue through the platform's Partner Program.
Adapt's answer:
Adapt publicly lists or features the following customers and customer examples:
Adapt's answer:
Adapt is different because it is built as a shared AI agent for company work, not a private chatbot or single-purpose automation bot.
Teams can ask natural-language questions across connected business systems, get cited answers grounded in live company data, and then take action from the same workflow. Adapt works in Slack and the web app, can automate recurring workflows and scheduled tasks, and can build internal apps and dashboards from live company data.
The strongest difference is the shared-work model: a Slack thread can become an investigation, a report, a workflow, or an internal tool that the team can see, refine, and keep using together.
Adapt's answer:
Choose Adapt when the work you want AI to handle crosses multiple tools, teams, and data sources.
Many AI assistants are either personal chatbots, search tools, or single-app automations. Adapt is designed for shared business workflows: it can gather context from connected systems, reason over the information, provide evidence-backed answers, and take action such as posting to Slack, creating reports, updating records, or triggering workflows.
Adapt is especially useful for teams that already work in Slack and need AI to operate with company context. It also includes business-grade controls such as organization-level access controls, audit logging, encryption in transit and at rest, and SOC 2 Type I certification.
Adapt's answer:
Adapt is built for business teams at startups and scaling companies whose work spans multiple systems: data warehouses, CRMs, support tools, billing platforms, project management systems, Slack, and internal docs.
The primary audience includes leadership, operations, sales, marketing, product, engineering, customer support, and data teams. It is a strong fit for teams that need fast answers from company data, recurring reports, cross-system workflows, and internal tools without waiting on data, engineering, or operations teams for every request.
Adapt is especially useful for teams that already collaborate in Slack and want AI to work where decisions and follow-up already happen.
Adapt's answer:
Adapt was built around a simple belief: the most valuable work in a company is shared, but most AI tools are still personal and disconnected from the systems where work actually happens.
The product grew from the need for one AI agent that can understand company context, investigate across business tools, and help teams act together. Adapt's public product framework is Ask, Understand, Act: ask in natural language, let Adapt gather context from connected tools, then use the answer to create reports, update systems, automate workflows, or build internal apps.
Adapt also uses its own product internally. In its blog post "How Adapt uses Adapt," the team describes using Adapt across engineering, marketing, sales, leadership, and product workflows, from debugging production issues to competitive intelligence, daily company briefings, and CRM updates.
Adapt's answer:
Adapt's public documentation focuses on product architecture and capabilities rather than publishing a full internal engineering stack.
The core technologies and product components described publicly include:
In practical terms, Adapt is built to connect large language models with live company systems, permissions, workflow automation, and collaborative surfaces like Slack.
Based on our record, Medium seems to be more popular. It has been mentiond 3114 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
>so is it a white matriarchal system oppressing men and minorities No, obviously it isn't a matriarchal system. Patriarchy can and does oppress men as well as women. If you're actually interested in something other than trying to dunk on feminism, here are some sources you can follow. You can search to find more if you want.... - Source: Hacker News / about 19 hours ago
I wrote this in 2018: AI and privacy are incompatible https://medium.com/@andrewkemendo/artificial-intelligence-and-privacy-are-incompatible-5375035f15c0 Highlight towards the end โI will make a prediction of my own: more deeply intertwined AI based services will increase the decision making capabilities for users over the next several decades to such an extent, that it will be considered irresponsible not to use... - Source: Hacker News / 4 days ago
Apple's hypocrisy is a longstanding issue with regard to their apps vs 3rd party apps. As I recall when the Green Bubbles first happened in messages someone pointed out that Apples own design guidelines specified a minimum contrast in colors or they would reject apps, and the green bubbles with white text did not meet that threshold at the time, and it stayed that way for quite a while. And for all I know the... - Source: Hacker News / 5 days ago
I agree. It did very well on an extremely challenging task. I asked it to recognize and draw the very faint reflection of what I was wearing, visible in only a tiny black part of a very brightly lit poster behind glass. In addition, the poster itself also happened to contain similar clothing. You can see the reference images and its output in my writeup here:... - Source: Hacker News / 5 days ago
I'd strongly disagree, Go panic mechanism (but not just in the runtime sense but also in language feature sense) is quite distinct from what we typically understand "exceptions" to mean (which - esp. Depending on language - are not at all just about handling programmer error). I think this is a decent article on exactly this:... - Source: Hacker News / 11 days ago
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