Twindem Team / controlled AI delivery
Use AI in your company. Keep it controlled.
Twindem gives software teams a governed way to use Claude Code, Codex, and other AI coding agents: board source of truth, human gates, evidence, audit history, usage visibility, and team-level controls.
- Control
- Humans approve critical phase changes
- Visibility
- AI work stays on the delivery board
- Proof
- Evidence links runs, reviews, and releases
Checkout modernization
Plan waiting for approval before Agent 1 starts implementation.
Gate waiting. Refinement plan requires owner approval.
The problem
AI coding is already entering companies. The missing layer is control.
Teams can move faster with AI agents, but speed alone is not enough for a company. Leads still need to know what was requested, what changed, who approved it, what evidence exists, and whether the work is safe to release.
- AI work happens in scattered terminal sessions and chat history.
- Approvals are informal and hard to reconstruct later.
- Evidence, cost, reviews, and release decisions drift apart.
- Every task moves through a board-driven delivery workflow.
- Human gates decide when AI work can advance or ship.
- Evidence, audit, usage, and agent runs stay attached to the work item.
Open core
Start with Twindem Community. Add Team when AI becomes company infrastructure.
Twindem Community is the open-source desktop app for local AI delivery. Twindem Team adds the commercial governance layer companies need across members, projects, licences, audit, board access, usage, and organization policy.
Local, open-source AI delivery.
For developers and teams that want the board-driven workflow, dual-agent loop, local evidence, and desktop orchestration in an AGPL open-core product.
- Desktop app
- Local project workflow
- Dual-agent review loop
- Open-source AGPL core
Commercial governance for company rollout.
For CTOs, leads, agencies, and client-facing software teams that need controlled AI delivery with shared rules, proof, usage visibility, and organization controls.
- Commercial licence
- Members, seats, and projects
- Admin control plane
- Audit, usage, vault, and board governance
Platform
The control plane around AI coding work.
Twindem Team is not another AI chat window. It is the operational layer around AI-assisted engineering: the board, the gates, the evidence, the audit trail, and the controls a company needs before letting AI participate in delivery.
Board as source of truth
AI work starts from real delivery items and stays mapped to stable phases instead of disappearing into chat or terminal history.
Human approval gates
Automation can draft, implement, and review, but critical transitions remain explicit decisions by the responsible human.
Evidence by default
Plans, findings, run logs, tests, release notes, and deployment checks become an auditable record attached to the story.
Team controls
Members, projects, licences, agent access, vault entries, usage reporting, and organization policy live in one commercial control plane.
Interactive demos
See the control plane and the delivery board working together.
Both demos use dummy data. Admin shows how a company manages projects, people, licences, agents, vault, and policy. Board shows how AI-assisted work moves through gates with evidence, audit, runs, and spend attached.
Set the rules before AI starts work.
See projects, members, licences, board bindings, agent access, encrypted vault entries, billing, and governance settings in a Twindem Team admin workspace.
- Commercial licence and seat assignment
- Project-to-board configuration
- Agent and vault policy controls
Keep AI delivery tied to real work.
Inspect a full Twindem Delivery Board with phase lanes, human gates, work-item drawer, conversation, evidence, audit events, runs, tokens, and cost.
- Board source of truth
- Review and release gates
- Evidence, audit, and spend per story
Delivery workflow
From request to production, with proof at every step.
Twindem makes AI work legible to leads, clients, and reviewers. Agents can help with the work, but the workflow records each phase and keeps release authority with the team.
- Request
Typed intake for feature, bug, research, architecture, runbook, or spike. Architecture work can propose the development tasks that should follow.
- Refinement
AI drafts a plan against project instructions, acceptance criteria, and board context.
- Implement
The implementation run produces code, notes, logs, and concrete evidence.
- Review
A second agent challenges the result and drives a fix loop before human approval.
- UAT
Runbooks, smoke checks, and user acceptance evidence are reviewed before release.
- Production
The final evidence package closes the delivery record and supports audit later.
For teams
Built for teams that need AI speed and delivery discipline.
Twindem Team is for CTOs, team leads, agencies, and client-facing engineering groups that want AI assistance without losing ownership, process control, or client confidence.
- Multi-project delivery visibility
- Member licensing and organization controls
- Usage and cost signals by project and run
- Shared audit trail for reviews, approvals, gates, and releases
- Commercial license for companies that cannot use AGPL code
Requires UAT evidence, review clearance, and release runbook result.
Missing migration rollback note. Fix loop sent back to Agent 1.
Review -> UAT mapped to the connected delivery board.
Security and privacy
Local-first where code matters. Controlled where companies need governance.
Twindem keeps repo work and agent sessions local. Team services focus on the company layer: licensing, membership, board access, policy, metrics, and shared governance.
Commercial direction
Start locally. Add company governance when AI becomes team infrastructure.
Twindem Community remains free and open source. Twindem Team adds commercial licensing and organization controls for companies that need accountability across people, projects, boards, agents, approvals, cost, and releases.
Community
Free AGPL core for local AI delivery.
- Desktop app
- Dual-agent loop
- Board workflow
- Local evidence
Team
Controlled AI delivery for companies.
- Commercial license
- Members and seats
- Multi-project control plane
- Team audit and usage visibility
FAQ
Questions companies ask before using AI in delivery.
Twindem is built for teams that want the speed of AI coding agents without losing review, release control, evidence, cost visibility, or accountability.
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.
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.
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.
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.
What does Twindem track during an agent run?
A run can record the execution client, run role, provider, model, device, status, outcome, timing, summary, error summary, token usage, and cost.
What kind of evidence does Twindem keep?
Evidence can include test output, logs, diffs, screenshots, command output, links, files, audit receipts, and run receipts. Evidence can be tied to a story, a run, or a review finding.
Work with me
Bring AI into delivery without losing discipline.
Twindem is the product. The rollout conversation is personal: work with Vas Hanea on controlled AI delivery, second-opinion review, human gates, evidence, and board discipline.