AI Agent Mission Control by Sineth MaddumaAI Agent Mission Control by Sineth Madduma

AI Agent Mission Control

Sineth  Madduma

Sineth Madduma

Status: Concept. An interface for two orchestration specs I wrote; no code exists yet. Data shown is illustrative.

The problem

Teams letting AI agents change code can't answer three questions: what did the agent do, is "done" really done, and what needs a person now? An agent reports success, a dependency shifts, and a customer notices first.

What I built

Countersign (an invented name) is a concept interface for two specs I wrote: an outcome controller for a sandboxed agent, and a control plane running engineering tasks through separate roles. Neither is implemented. The screens use the specs' event envelope, state machines, approval bindings and nine-stage loop.
The rule: an agent's claim isn't proof. A check counts only on a verifier's receipt and goes stale when a dependency changes. A release waits for a person to approve one exact artifact.

What I can build for you

AI Agents & Workflow Automation, from $750: an agent in your tools, with approvals and logs, tested on your real cases. A full agent system with tools, controls and evaluation starts at $2,500.

Captions

Operations: eight runs on one lane chart: three rejected claims, one release waiting.
Episode: six checks, and a swimlane where a claim never looks like a verdict.
Loop: nine stages, separate roles; a failed check goes to the debugger, a person integrates.
Needs you: one single-use grant, bound to the artifact, target and config it was proven on.
Walkthrough: 31 seconds across the screens; nothing is approved in it.
Like this project

Posted Oct 19, 2026

A concept control room for AI agents that change code: a claim counts only on a verifier's receipt, and a person approves each release. Data is illustrative.