Build studies

Owned builds that prove the work.

Before we sell a workflow pattern, we run it on our own products: Violema, Feel The Line, Purple Orange Lead Gen, operator deployments, and production automation infrastructure. Client case studies come next; this is the live evidence now.

5
owned build studies
3
automation products in use
2–4 wk
typical client build window
<24 hr
infra stand-up benchmark
Violema AI coworker product screen showing Slack-style automation.
AI coworker product

Violema

Founder-side AI coworker for recurring research, execution, and automation across Slack, Discord, and the web app.

Natural-language work requests become tool-connected actions with human control: pull context, summarize the state, and prepare the next automation step.
SlackDiscordStripe contextAutonomy modes
Feel The Line Meta Business Suite audience insights screen.
Audience and commerce ops

Feel The Line

Automation work across audience research, product metadata, Shopify tooling, and campaign planning for a creative commerce brand.

Manual catalog, SEO, and campaign planning work becomes data-backed audience views plus repeatable scripts.
ShopifyMeta insightsPythonCampaign ops
Purple Orange Outreach Lab dashboard sign-in screen.
Lead generation OS

Purple Orange Lead Gen

Discovery, review, outbound orchestration, and dashboard workflows for building a send-ready pipeline before campaigns go live.

Outreach gets an operating layer: queue discovery, review the work, and keep automation tied to approval.
FastAPIDashboardn8nCRM workflows
OpenClaw operator icon.
Agentic operator deployment

OpenClaw Operator

OpenClaw operator instance with custom Claude agent orchestration on a production VPS.

Docker Compose, Nginx reverse proxy, SSH tunneling, and CI/CD stood up in under a day.
Claude CodeOpenClawDockerVPS
Terminal deployment health checks for Purple Orange Lead Gen services.
Automation infrastructure

Multi-service AI stack

Production stack for API, worker, database, Redis, n8n, dashboard, smoke checks, and public endpoints.

A repeatable deployment pattern for automations that need queues, approvals, integrations, and uptime.
DockerPostgresRedisn8nSmoke tests

How this maps to client work

These builds map directly to the first paid workflows we can sell: outreach systems, ecommerce and catalog automation, internal AI coworkers, agent deployment, and the infrastructure layer that keeps automations running after the demo.