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Designed and built an AI operations dashboard that brings projects, decisions, tasks, research, connected tools, and voice interaction into one clear workspace. The goal is to turn complex workflows into a simple, usable system that helps people see what matters and act faster.
Seeing the voice interaction layer pull data from Supabase into the dashboard cuts down on manual context switching.
Exactly that. Reducing the tool hopping was one of the main goals.
James, putting decisions right next to tasks is the part I like most. Most ops tools track what got done but lose why it was decided, and that is exactly what people go looking for three weeks later. How are you using the voice side day to day?
That’s exactly the idea. Day to day, I use voice as the front... doorcapturing notes, checking project status, surfacing decisions, and moving work forward without having to jump between tools. The goal is for the system to keep the context around the work, not just the task itself.
Makes sense, James. Keeping the context around the work is the hard part, and voice lowers the effort enough that people actually capture it. Would be good to see how it holds up once a whole team is using it.
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Same support inbox, one difference. Left keeps a human on every send. Right lets the AI send on its own once the draft confidence passes 90, refunds and cancellations excluded.
I built both in Relay this week and I still cannot decide.
Would you flip that switch for your own customers, and at what number?
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I'd flip it per topic, not per score. A 90 on a question the AI has answered hundreds of times is safe. A 90 on a question it has never seen is still a guess. Can Relay set a different threshold per topic?