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

How does Twindem help agencies and client-facing teams?

Twindem keeps the request, implementation runs, second-agent review findings, evidence, approvals, and release state attached to the story so agencies can explain progress and prove AI work did not bypass delivery controls.

Agencies often need to explain how work was delivered, especially when AI is involved. Twindem keeps the request, implementation runs, second-agent review findings, evidence, approvals, and release state attached to the story.

That makes it easier to show progress, defend decisions, and prove that AI work did not bypass the team's delivery process.

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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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.

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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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