OneLoop
Work that moves itself.
A governed AI operating team for every employee. It remembers the work, follows through, asks before sensitive actions, and ends in a receipt or an honest blocked state. Now in beta.
See OneLoop →
AI made output cheap. Accountability becomes the advantage.
I am building OneLoop, the AI operating layer, now in beta, and Kleory, the public network where predictions become receipts and judgment earns a record.
AI-native. Agents are my default; I own the specs, review and gates.
Work that moves itself.
A governed AI operating team for every employee. It remembers the work, follows through, asks before sensitive actions, and ends in a receipt or an honest blocked state. Now in beta.
See OneLoop →What was said. What happened next.
People say things. When the truth comes out, nobody goes back to check whether they were right. Kleory does: public claims next to the record, with the sources attached.
See Kleory →Visible pricing. Transparent provider competition.
A live B2B services marketplace built as a real business OneLoop is intended to operate as the operating layer matures.
See Aithon →I write the spec, set the gates, review the change and own what ships. The agents do the typing.
Anyone can ship your feature list in a weekend now, which means the thing that made software companies defensible for a generation is gone. What is left is the operating layer.
Every business runs on loops. A signal comes in, someone owns it, the next action happens, the follow-up sticks. Most companies leak at every handoff and call it being busy.
The companies that win the next decade will not have better tools. They will have loops that do not leak.
The live-show concept follows the products. Founders bring the workflow quietly costing them money; we find the handoff where the work dies and rebuild the loop on air.
The essays behind the thesis.