Many perspectives. One workspace.
Multi-agent workflows become difficult to evaluate when the final answer hides the intermediate decisions, costs, and failed attempts. Echo explores a more inspectable way to coordinate work.
Decisions that
shape the system.
Give each role a clear job
Builder, Investigator, Challenger, and Synthesizer roles support collective, focused-pair, and critical-review workflows.
Make execution visible
Keep contributions, attachments, cancellation, search, and durable run receipts in the same local workspace.
Treat budgets as shared constraints
Integrate the token-counter project for estimates, policy checks, and usage normalization. Live dispatch depends on validated shared accounting authority.
Keep evaluation proportionate
Use a small set of safe, meaningful scenarios and clearly identify simulated execution.
- Define the task
- Build / investigate
- Challenge
- Synthesize
- Review the receipt
Inside the implementation
A bounded script sandbox adds a place for controlled calculations without granting arbitrary filesystem or network access. The wider architecture separates the interface, orchestration, and accounting authority so adding live model execution requires an explicit integration, not a browser-side API key.
What the work
demonstrates.
The local application and zero-token simulation path were verified with 36 recorded checks. The workspace demonstrates workflow orchestration, persistence, and integration behavior.
Why it matters to a client
A practical example of shaping AI-assisted tools around visibility, cost discipline, and human review.