Instead of prompting AI in isolation, agents can read project context, turn strategy docs into tasks, coordinate with teammates, run research/outreach/content workflows, update boards, and push results back into the system or external tools. The workspace acts as persistent memory, so work continues instead of resetting every prompt.
Happy to answer any questions
Bondig•2h ago
I have spent the last 6 years building startups and as tools, automation and eventually AI became the standard to maintaining and gaining competitive advantages, I kept running into the same problems.
Execution as a whole was fragmented with strategy living on some doc. Tasks where in whatever lousy project management tool we would use (Notion, ClickUp, Jira etc..). Conversations happened on several apps. Worse of all tools we used lived across various tabs with no memory between them.
Even with good tooling and might I say good siloed output, the overhead and continuous context switching killed momentum overall, to many gaps and no shared context, things would inevitably fall through the cracks. I asked around my network and every single person was facing the exact same problem, especially those making revenue, as the issue was directly affecting MRR.
So, along with my cofounder, I built Agently, an AI Work OS designed around execution and memory instead of just origination. The idea is pretty simple, instead of adding more segregated tools or AI, have them operating directly in the workspace alongside humans. Therefore, documents become executable context, chats between team members connect directly to tasks and decisions, tasks that live on board are tied to strategy and best of all the AI Agents can read the workspace as a whole and perform their work, whether for research, outreach, content, marketing etc... We also gave them the ability to read and write within the workspace to collaborate as much like humans as possible and then gave them integrations to also fulfill work outside of the workspace. We are working towards making these AI Employees as autonomous as possible to be able to fulfill tasks as continuous collaborators not just within workflows.
The workspace becomes the shared context layer to establish context continuity and the AI Employees can then produce workflows on the fly to accomplish the tasks that correspond to their skills.
We recently added a notion integration after our Cohort 1 beta users told they wanted to migrate. We are still early, I am mainly posting here to get feedback from people who think they share the same problem.
Happy to answer any questions