AI products & agentsGet your team’s hours back.
AI that takes the repetitive work off your people, built only where it pays back.
- $18,000 fixed
- Working software in 14 days
- Date in writing
The AI feature is live. Nobody's using it.
Most "AI failures" we get called in on aren't technical. They're the same four mistakes, in this order:
How we actually do it.
- 1FilterEvery idea run through the Build/Skip checklist before a design file gets opened.
- 2Prototype the risky part firstThe failure mode gets tested in isolation (hallucination, latency, cost) before anything gets built around it.
- 3Ship with guardrailsHuman-in-the-loop checkpoints and fallback paths for when the model gets it wrong, because it will.
- 4Watch usage, not launch dayReal adoption tracked past week one; features that don't get used get cut, not defended.
What you get.
Where AI pays for itself
Every feature gets scoped against real usage first: 10x/week tasks, measurable ROI in hours or dollars saved. If it fails that bar, we don't build it, no matter how good the demo looks.
Agents that don't need babysitting
Guardrails and human-in-the-loop checkpoints tested against real failure cases before an agent ever talks to a live customer, not after.
Your data, answering in your voice
RAG built on your own docs, tickets, and CRM, so answers are grounded in what's actually true for your business. Stays yours. No vendor lock-in.
Witsberry didn't just build something that worked; Rikaz told me what features not to build, which saved me weeks of wasted development. Conversions jumped 60%+, we hit 18% monthly growth, a team that actually thinks before they code.
The AI Build/Skip Checklist
Before we write a line of AI code, we run every idea through this. Most "AI features" fail this checklist, and that's the point.
Common questions.
Other ways we help.
You're not hiring a company. You're hiring a person who signs their name to it.
Rikaz Zarook, Founder & CTO. Thirteen years in software. Two builds a month, that's the whole capacity.