Twindem Team FAQ for controlled AI delivery --:-- UTC
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Twindem FAQ

Why is the second agent important?

The same agent that produces the work should not be the only reviewer of that work. Twindem separates implementation and review so a second agent can challenge the output, inspect risks, open findings, and drive a fix loop before human approval.

If one agent produces the work, the same agent should not be the only judge of whether that work is correct. Twindem's model separates implementation and review.

One agent can plan or implement. A second agent can challenge the output, inspect risks, open structured findings, and drive a fix loop before the work moves forward. This does not remove human responsibility; it gives the human reviewer a stronger, more consistent starting point.

Related questions

If our developers already use Codex or Claude Code, why do we need Twindem?

AI coding tools help individual developers move faster. Twindem adds the company layer: board items, phases, second-agent review, evidence, usage, cost, and audit events attached to the work.

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What does controlled AI delivery mean in practice?

Controlled AI delivery means AI work starts from a delivery item, moves through a defined workflow, and keeps the useful record attached: runs, summaries, findings, evidence, usage, cost, comments, handoffs, and board events.

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Can Twindem turn architecture work into development tasks?

Yes. Architecture work in Twindem is not just a document. It can produce concrete development task proposals, with rationale, scope, dependencies, and evidence expectations, so the team can approve what should become delivery work.

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Does Twindem remove human review or human approval?

No. Twindem uses the second agent to challenge work and structure review, while humans keep control of important gates: plans, UAT, release evidence, and production movement.

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