Ω-API Operator
Release. Realign. Stop.
Act on the process before the answer goes out.
Operator uses the signal measured by Shadow to route each response: release, realign, or stop.
Each response meets the edge. Operator lets it pass, sends it back to the agent to realign, or stops it.
Operator acts on the signal Shadow measures.
Shadow tells you where the process would have needed intervention. Operator turns that signal into a gate.
Operator does not write the answer.
It does not add content. It adds a boundary before the answer goes out.
The structural no
LLMs do not know when the process has stopped being viable. They follow prompts, policies, tools, and retrieval context — external rails. Operator adds a process boundary before the response goes out.
Some responses should not be released. Not because they contain a forbidden word. Because the conversation has stopped moving in a recoverable way.
Switch when you need it
Run a project in Shadow while you measure the traffic. When you know where intervention is needed, switch new sessions to Operator. Conversations already running keep their original mode, so you do not change the rules mid-stream.
Example pattern. Your support bot runs in Shadow for a week. Shadow shows which router cases would have triggered a realignment. You switch new router-support sessions to Operator. Existing sessions finish in Shadow.
You pay for the intervention, not the outcome
Operator does not sell “saved conversations”. It bills the action it actually takes: a re-alignment or a stop.
If the agent proceeds, you do not pay an Operator intervention.
If Operator asks the agent to realign, that intervention is counted.
If Operator stops the response, that stop is counted.
No success theater. No “AI saved you” invoice. Only measured interventions.
Where it acts
Example patterns — illustrations of the shape, not measured cases.
Support loops. A customer asks what to do next; the agent keeps reassuring them without closing the case. Operator can realign before another empty answer is released.
Missing information. The agent is about to answer while a required point is still unresolved. Operator can route the response back for clarification.
Agent handoff. The process cannot close inside the current agent. Operator can stop the response and force escalation instead of another round.
Bot↔bot coordination waste. One agent keeps producing work while the other only holds. Operator can stop the exchange before it burns more turns.
Runaway cost. The conversation keeps circling while tokens accumulate. Operator can intervene on the process shape, not on a cost threshold alone.
Operator requires a Shadow baseline.
See where it would have acted first, then turn it on.