Bespoke AI agents, chatbots, and copilots; custom integrations between systems that have no ready-made connector; and full custom apps — designed for your exact workflow and shipped with the same eval + guardrail discipline that keeps them correct and safe in production. When no SaaS or no-code tool fits, this is the build.
Agents that plan, call your tools, and complete a real task — LangGraph-style orchestration with explicit state, tool boundaries, retries, and approval gates where the risk is.
Support and internal assistants that answer from your docs, policies, and tickets — with citations and a scope guard — not from the open internet or the model's imagination.
Connect systems that have no ready-made connector — APIs, webhooks, or custom middleware that speaks both sides, with error handling and an audit trail. One connected system, not copy-paste between tabs.
The app, admin panel, or ops dashboard your workflow actually needs — full-stack, with the right permissions and audit trail — instead of forcing your process into someone else's template.
The part most custom AI ships without: a golden set, adversarial safety probes, and a CI gate that catches a wrong or unsafe answer before your users do. Every custom build gets it.
It lands in your repo and your accounts with a runbook and a walkthrough, so your team runs and extends it without me — and the work outlives me being unavailable.
fixed scope · quoted after a scoping week · your repo, your accounts, your stack
A spec and architecture for the custom build — the agent or integration shape, the data flow, the tools it needs, and where the eval/guardrail layer goes. A concrete plan and quote you own.
Start here — get a quote →The core custom flow doing the real task end to end on your data, behind a basic gate — so you can judge it for yourself before committing to the full build.
Get a quote →The production system — agent, chatbot, app, or integration — wired into your stack with the eval + guardrail layer, deployed with a runbook your team owns at handoff.
Get a quote →fixed-price starting points from $497, plus a custom quote for larger or unusual builds — scoped in writing before we start, so you pay for your problem, not a package · every engagement ends with a system you own — and if the scoping shows I can’t help, I’ll say so and it costs nothing
The concierge on this site isn't a chatbot widget bought off a shelf — it's a custom agent I built: it scopes a project, routes intent, and answers from a grounded knowledge base, with a hard consent gate on anything it does on your behalf. Then I did the part most people skip — I red-teamed my own agent and published the result.
A grounded, scoped custom agent — intent routing, knowledge base, consent gate — live on this site.
Red-teamed 10/10 on the adversarial suite — a custom agent with the guardrails to match.
Every custom build ships this way: the bespoke thing, plus the proof it behaves. The method is the same on your project.
Anything off-the-shelf can't do: a bespoke agent that runs your specific workflow, a chatbot grounded in your own data, an integration between systems that have no ready-made connector, or a full custom app instead of a template. If a SaaS or no-code tool already does it well, I'll tell you to use that.
Yes, when the logic is genuinely agentic — a LangGraph-style orchestration with explicit state, tool-use boundaries, retries, and human approval checkpoints, instrumented so you can see every step it took. My own agent OS (sage-kernel) runs 100+ tools this way.
If it has an API, a webhook, or a data export, almost always. If it doesn't, I build the middleware — a small service that speaks both sides, with proper error handling and an audit trail. The point is one connected system, not copy-paste between tabs.
Whichever your team can own after I leave. n8n / Make / Zapier for linear flows, code when the logic genuinely earns it. I lead with the one that leaves you the most maintainable system, not the one that's fastest for me to build.
Every custom AI build ships with the eval + guardrail layer: a golden set, adversarial safety probes, and a CI gate that catches a wrong or unsafe answer before your users do. The sales assistant on this very site is a custom agent I built — and it's red-teamed to 10/10.
Scoped and quoted in writing after a short call — fixed scope, not open-ended hours. Everything lands in your repo and your accounts with a runbook and walkthrough, nothing retained on my side after handoff.
You leave with a concrete plan either way — the call is free and the plan is yours.