Staff every department with AI agent teams wired together.

1 human + 1 assistant

A sequential workflow can work for small tasks, but software builds often create waiting chains.

• Context is shared by two actors and often gets overloaded.
• Dependencies chain in lockstep, so every step waits on one busy lane.
• A bottleneck in one task stalls everything around it.

One human + peer AI teams

Peer studios absorb uncertainty by separating responsibilities while preserving a shared project objective.

• Multiple workspace teams run in parallel with explicit handoff contracts.
• Each team has a council to reconcile decisions and keep quality visible.
• Outputs flow from one scope to the next with bounded retry, not brittle chain memory.

Carve the project into explicit streams — frontend, backend, infra, QA, release — each with its own workspace contract, state, and acceptance target.

Output enters next workspace as explicit scope, not implicit memory.

Pass artifacts between workspaces: API specs, feature flags, migration plans, and review summaries become explicit input for the next team, not sticky context in one chat.

Dependencies are visible artifacts, not untracked side notes.

As streams complete, councils reconcile decisions and the whole project converges. Parallel progress compounds into a faster and more resilient delivery cycle.

Each stream can be optimized, reviewed, and rerouted independently.