Labs
See an agent run, live
Two working demos of the patterns behind the case studies. The playground runs a miniature agent loop — plan, execute, output. The terminal replays real build sessions. Neither is a mockup of intelligence; both are honest about what automation actually looks like: structured, observable, and verifiable.
// Agent playground○ idle
input: "Hi, my invoice for May shows $0 but my card was charged $89."
○Parse customer message
○Identify category: billing.discrepancy
○Check tier: priority high
○Draft response with refund-flow link
The same plan → execute → verify loop that runs the support triage system.
Replays of three real build patterns: an agent scaffold, a document pipeline deploy, and a RAG index.
Why demos
What these prove
- Agents plan before acting — the step list exists before execution starts
- Every run produces structured, verifiable output, not vibes
- Evals gate deployment: 47/50 passing is a number a business can reason about
- Confidence and status are always visible — no black boxes in production
$ erick --find-bottleneck
Request a similar build
If one of these patterns maps to your operations, a call is the fastest way to find out what a production version would take.
30 minutes · no pitch deck · reply within 24h if you write instead