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.
From the idea
to the implementation.
- 01
Specify the collaboration workflow
I defined the Builder, Investigator, Challenger, and Synthesizer roles and the ways they should work together. Contributions and the final answer stay connected in a single conversation.
- 02
Connect the local tools
The implementation brings together persisted conversations, attachments, cancellation, search, run receipts, and the token-accounting SDK. Controlled calculations run in a bounded QuickJS sandbox.
- 03
Prove the workflow in simulation
A zero-token simulation exercises orchestration and persistence without spending on live model calls. The recorded 36-check verification establishes that prototype milestone and keeps live-model evaluation a separate question.
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.