ReplayOS control room with synthetic workflow evidence.Synthetic demonstration data
The workflow problem
What had to change
High-stakes automation becomes dangerous when consequential actions are hidden inside model-generated prose and failures cannot be reconstructed.
The product response
How the product behaves
ReplayOS compiles operational evidence into inspectable workflows that people can approve, execute, recover and replay without giving the model direct authority.
User journey
From first signal to inspectable outcome
01Collect evidence
02Propose a workflow
03Apply deterministic policy
04Approve material actions
05Execute idempotently
06Verify and replay
Architecture
The control path
The model participates inside a product boundary. Typed software, policy and human review retain authority where consequences matter.
01Evidence
Structured events and operational context
02Compiler
Typed workflow proposal and preconditions
03Control
Policy, approvals and idempotency
04Execution
Bounded effects and postcondition checks
05Replay
Recovery, evidence export and hash-chained traces
Product decisions
Choices that shape the system
01
Models propose
Typed software retains authority over permissions and effects.
02
Recovery is first-class
Partial failure is expected and represented in the workflow.
03
Evidence survives execution
Operators can understand what happened and why.
Evaluation and reliability
What keeps the product inspectable
Controls
Approval gates
Idempotent effects
Postcondition verification
Deterministic evaluation path
Verified evidence
Live synthetic demonstration
Recovery workflow
Hash-chained execution traces
Current limitations
The public deployment is a synthetic operational demonstration, not a payment processor.
External effects are mocked and no production customer data is used.
Product evidence
Recorded synthetic demonstration of the ReplayOS workflow.Synthetic demonstration data
Karthik’s ownership
Product strategy · Workflow model · Control architecture · Full-stack delivery · Evaluation design