AI Operations Sprint.
One workflow. One operating loop. One system your team can keep using.
They generate text, summarize a document, or answer a question. Then a person still has to copy the result into another tool, decide what to do, and chase the next step.
- AI agent workflows
- Research and signal pipelines
- Tool and API integrations
- Human-in-the-loop approvals
- Internal operator dashboards
- Data-to-action automation
ProofFeed is a proof of concept for agents that discover, purchase, and receive cited operational intelligence through an auditable payment flow. Referee is a proof of concept that runs an untrusted digital deliverable in an isolated sandbox against an acceptance test. CakeLet is capability proof of the same remember-and-act pattern, not a client CRM. Proof of concept is not commercial availability.
What is an agentic workflow here?
A system that collects context, reasons over it, asks for approval where needed, and carries the work through the next action. An answer is not a workflow.
Do you install a chatbot and leave?
No. We connect the data, the model, and the action inside the tools the team already uses.
Where do ProofFeed and Referee fit?
They show the pattern: cited intelligence with an auditable payment flow, and execution-based verification for digital work. They are proofs of concept, not commercial products.