AI · Agents
AI agents go beyond chat: they plan, call tools, and complete multi-step work — booking, researching, operating software. We build agents on OpenAI and Claude with the unglamorous parts done properly: guardrails, evaluation, and costs that scale.
Scoped agents that complete real workflows, not open-ended chatbots.
Unbounded scope. An agent that 'handles customer support' fails; an agent that drafts responses for the five most common ticket types, with confidence thresholds and human handoff, ships. We scope agents like products: one job, measurable success.
Demos are easy; production agents need evaluation sets, tracing, guardrails on tools with side effects, and graceful failure. That's the actual engineering — and it's included, not optional.
A chatbot answers; an agent acts — it plans steps, calls tools, and completes a task. Agents need guardrails and evaluation a chatbot doesn't.
Often several: a capable model for planning, cheaper ones for routine steps. We route by task and measure quality per route.
Bounded tools, permission checks, confidence thresholds, human handoff, and traces on every run — designed in from the start.
From €7,000 when the agent is the core feature — one workflow, evaluated and production-ready, plus the product around it.
Yes — most agent work is an API layer plus UI surface on what you already have, not a rebuild.
technologies
The technologies One Peak builds with — Next.js, React Native, Flutter, Supabase, and OpenAI — and how we scope and ship products on each.
case-studies
Products One Peak has scoped, designed, rebuilt, and shipped under real constraints.
comparisons
Compare the ways to build an MVP — freelancer vs product team, no-code builders vs custom code — and see which path fits your scope, risk, and timeline.
