Services
Practical AI Inside Your Product
LLM features, chat assistants, and document workflows, integrated safely into real apps.
Zachary Hutton · UTech CS · Portmore, Jamaica · Next.js · TypeScript · FastAPI · MongoDB · Vercel
what I can do
How I Help With AI Integrations
Add AI where it saves time: support bots, content helpers, classification, and structured extraction.
Integrate provider APIs with guardrails, rate limits, fallbacks, and human-in-the-loop when stakes are high.
Prototype fast, then productionize with logging and cost awareness.
process
How It Works
01
Use-case fit
Define the job-to-be-done and success metrics, avoid AI for AI's sake.
02
Prototype
Thin vertical slice with real prompts, sample data, and UX flow.
03
Integrate
Auth, storage, streaming UI, and error paths in your existing stack.
04
Operate
Monitoring, prompt versioning, and iteration based on real usage.
deliverables
What You Get
- Embedded AI feature (chat, copilot panel, or batch processor)
- API routes + frontend components wired to your app
- Prompt / config structure your team can tune
- Basic usage and cost visibility
- Security review notes for sensitive data handling
Typical outcome
A production-ready ai integrations engagement: scoped milestones, working software or pages you can show stakeholders, and documentation your team can build on.
Trusted by 10+ clients, Domus, weROI, WehFiGo, PNTCOG, and independent businesses.