Independent AI systems studioCode + long-form
Systems for long-horizon AI work.
We design agentic software that can hold context, coordinate specialised models and verify complex work across code and long-form content.
01 / Premise
Long-running AI work breaks when requirements blur, context drifts and review happens only at the end. MindArc Labs builds the coordination layer that keeps a job legible from first intent to final artifact.
How the studio worksSystem 01Software delivery
A coordinated software workbench that moves from requirements and architecture through implementation, testing and packaging.
System 02Long-form creation
A long-form generation engine built around continuity: persistent story state, structured planning and checks that keep a large narrative coherent.
02 / Method
Every stage produces an artifact the next stage can inspect. Select a stage to see what changes hands.
Stage 01 / Frame
Define the objective, constraints, evidence requirements and points where a person must make the call.
03 / Control plane
Inputs, decisions and generated artifacts remain connected instead of disappearing into a chat transcript.
Critical actions wait for explicit evidence or human review rather than optimistic completion.
Retries, context and model choices are treated as engineering resources with visible limits.
Structured memory lets the next stage resume from a known system state, not a loose summary.
Bring us the hard part
Share the task, the failure mode and the evidence a successful run must leave behind.
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