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    Custom AI Products · 2026

    AI products your business actually uses.

    Copilots, RAG assistants, agents and embedded AI — designed for B2B workflows, shipped in weeks, on a codebase you own.

    What I build

    Real AI products for B2B teams — not demos, not chatbots bolted onto a sidebar.

    Internal Copilots

    Sales, support and ops copilots grounded in your data — proposals drafted in minutes, tickets triaged automatically, playbooks always at hand.

    RAG & Knowledge Assistants

    Retrieval-augmented assistants that answer from your docs, contracts and product knowledge — with citations, permissions and audit trails.

    Agentic Workflows

    Multi-step agents that handle real work — research, enrichment, outbound, reconciliation — with human-in-the-loop where it matters.

    Embedded AI Features

    Chat, search, summarisation and generation inside your existing SaaS — shipped as a feature, not a sidecar.

    AI-Native Web Products

    New products built AI-first from day one — Lovable + Lovable Cloud + LLM gateways for speed, with React under the hood for full ownership.

    Evals & Guardrails

    Evaluation harnesses, prompt versioning, content filters and observability — so the thing you ship in 2026 is measurably better than the demo.

    How I work

    Four phases from idea to a system you rely on.

    01

    Use-case shaping

    I pressure-test the idea against ROI, data access and risk. You leave with a one-pager: what we're building, why, and how we'll know it worked.

    02

    Prototype in days

    Working prototype in 1–2 weeks on Lovable + Lovable Cloud. Real data, real users on your side, real feedback before we commit to a build.

    03

    Production hardening

    Auth, RLS, evals, observability, model fallbacks, cost controls, delivered with my partner specialists. I move you from prototype to a system you can rely on.

    04

    Iterate & operate

    Weekly improvements driven by usage data. I stay on as your AI engineering partner or hand over a codebase you own end-to-end.

    The stack: speed without lock-in

    I build on Lovable + Lovable Cloud with a modern LLM gateway layer (OpenAI, Anthropic, Google, open-source), supported by a vetted network of partner specialists for production hardening. That means working prototypes in days, production-grade React + Postgres + auth under the hood, and a codebase your engineering team can pick up at any point. No proprietary runtimes. No vendor cliffs.

    Selected AI engagements available on request.

    Most AI product builds I ship sit alongside a marketing website built through my B2B Webflow agency work — the two engagements often run in parallel.

    Got an AI use case worth shipping?

    Bring me the workflow. I'll come back with a one-pager and a prototype plan inside a week.

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