AI Development
Overview
What this work looks like
AI in production is mostly operations. We set up the evaluation harnesses, monitoring, cost controls, and incident playbooks that turn a clever prototype into a system the business can actually trust.
What's included
Deliverables
- Observability and tracing setup
- Automated evaluation and regression tests
- Cost, latency, and quality dashboards
- Safety, abuse, and content controls
- Incident response and on-call playbook
How we work
Our process
We start with a working session to understand your goals, audience, and constraints — so every recommendation traces back to a real outcome.
- Stakeholder interviews
- Competitive landscape
- Goals & success metrics
We translate inputs into a tight brief and a clear direction. You leave this phase knowing exactly what we're making and why it will work.
- Working brief
- Direction & references
- Scope & timeline
We build in tight iterations, share work early, and hand over assets and documentation your team can run with.
- Iterative reviews
- Final deliverables
- Handoff & enablement
We ship in weeks, not quarters — and hand you work your team can keep building on.
Selected work
A closer look
FAQ
Common questions
Related
Keep exploring
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