Hey everyone, another question from the Velozity team as we get closer to launch.
Last time we asked how AI work moves between people on a team. This time we want to dig into trust.
Right now most people keep their AI on a short leash: it drafts, it suggests, but a person clicks send. That's safe, but it also means every handoff between a person and their AI, or between two people's AIs, still needs a human in the loop to move things along.
We're building Velozity so agents can work more directly inside a team's shared space, chat, tasks, files, calendar, with a person approving anything that leaves the workspace rather than approving every single step along the way.
"Interesting take. Most "AI teammate" tools I've seen are just a chat box bolted onto a workspace. Having the agent sit in the same space as the team, where everyone can see what it's doing, is a different idea. What happens when two people ask the same agent for conflicting things at the same time?"
@suryansh_tiwari2
When two people ask for conflicting things, the agent doesn't pick a winner on its own. It flags the conflict in the shared space, shows both requests, and waits for someone to decide. Nothing goes out without approval, so a clash never turns into a wrong action.
Pulling chat, calls, tasks, calendar and files into one workspace and then letting your existing AI subscriptions work inside it is a sensible direction, since the problem is usually fragmentation rather than missing features. Sharing the same context across agents is the detail that makes it useful. Do the agents keep awareness of meetings and tasks across the whole space?
@karimbenkeroum Thanks, and you've put it well: fragmentation is the real problem. Yes, they do.
An agent in a space can see that space's conversations, files, notes, call transcripts shared there, and tasks. So if something was agreed in Monday's meeting, the agent knows it when you hand it a task on Tuesday. That awareness is scoped to the space the agent is in, so it doesn't spill into spaces it wasn't added to.
Congrats, Ishu and Akash! Keeping the agents in the same context as the team makes a lot of sense. Re-explaining the work every time you switch tools is the part I'd want to lose.
@oleksii_sekundant Thank you, Oleksii! 🙌 That's exactly the thing we wanted to fix. Most of the time lost with AI isn't the work; it's explaining it again every time you switch tools. In Velozity, the agents sit in the same room as the team, so they pick up where the team left off. Which tool switch costs you the most today?