Interactive demo
Turn project requirements into a plan you can review.
The Workbench drafts an implementation plan from the project requirements. You can trace the plan back to its source and review what the model did. Tasks are created after someone approves the plan.
Take the 5-minute technical tour ↗ · Sign in to an existing workspace
The demo uses synthetic data, creates an isolated 60-minute workspace, and never shares credentials between visitors.
AI evidence / deterministic fixture
Order intake implementation
Retrieve project brief
1 tenant-scoped source · hybrid retrieval
Generate structured plan
Mock fixture · plan-v1.0 · 1,200 in / 900 out
Validate + repair
Schema failed → repaired in one retry
Human approval gate
No task mutation before manager decision
COST
Not priced
LATENCY
2.35s fixture
CITATIONS
S1
Synthetic fixture telemetry demonstrates the evidence contract; no live-provider spend is claimed.
100%
offline schema validity · 15 cases
100%
citation + injection gates
0
autonomous delivery mutations
How it works
The model drafts. A person decides.
The system records each model call and checks the result before saving it. A plan cannot create milestones or tasks until a manager approves it. Failed work stays visible and can be retried.
Grounded plans
Project documents are split into tenant-scoped chunks. The plan links back to the source text it used.
Run details
Each evidence packet shows retrieval, validation, repair attempts, approval status, token counts, pricing status, and latency. Raw prompts are not stored.
Input checks
Requirement IDs, PII redaction, prompt-leak checks, and injection canaries run before the result is saved.
AWS deployment
CDK provisions encrypted S3 storage, SQS with a dead-letter queue, Lambda workers, alarms, budgets, and OIDC trust.