Custom development & systems integration
Engineering beyond
the AI prompt.
The API, database, worker, interface, and checks that turn a useful idea into an operational system.
Multi-model AI orchestration
Use AI for judgment. Keep software in charge of the process.
Route bounded research, interpretation, and review tasks to the appropriate model. Validate structured outputs before they enter the next stage. Keep customer communication and approval permissions explicit.
Structured outputs · Tool adapters · Model routing · Human review
See the reply-to-delivery build ↗APIs & business integrations
Connect the tools your team already relies on.
Build server-side integrations for outreach, payments, intake, and delivery. Verify webhook signatures, validate incoming data, and use idempotency keys so a repeated event does not become a duplicate job.
Python · JavaScript / TypeScript · Node.js · REST APIs · Webhooks
See Funding Shortlist ↗Durable workflow infrastructure
Know what ran, what failed, and what needs attention.
Track jobs in SQLite or PostgreSQL with explicit states, worker leases, retries, and receipts. Scheduled workers continue outside a chat session. Stalled-work alerts make a missed handoff visible.
SQLite · PostgreSQL · State machines · Background workers · Health checks
Explore the workflow ↗Public-data & research pipelines
Turn scattered records into information your team can act on.
Collect source records, normalize fields, remove duplicates, and attach provenance. Build filters and delivery formats around the audience rather than passing along an undifferentiated data dump.
Public APIs · Schema validation · Deduplication · Source attribution
See RFQWire ↗Web applications & media tooling
Give the workflow a useful interface and a repeatable output.
Build responsive Next.js interfaces, server-side forms, and subscription paths. For content operations, connect FFmpeg, versioned assets, review records, and distribution adapters.
React · Next.js · Supabase · FFmpeg · Git · Vercel
See the production workflow ↗How it holds together
A model response is not
a completed job.
We separate reasoning from runtime state. A model can propose an action; the application checks permission, records the job, runs the work, and verifies its result.
You get source code, configuration guidance, acceptance checks, and a documented handoff for the agreed scope. Ongoing operation and support are defined before we build.
Security and data handling ↗Ways to work together
A focused build.
Or an ongoing engineering partner.
Build or repair a system
A defined integration, data pipeline, web application, or workflow with agreed acceptance checks.
Embed with your team
Hands-on development and systems ownership alongside the people who use the tools.
Tell us where work gets stuck ↗