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overview.mdchatbots.tsworkflows.jsonprompts.yaml
◆ AI & automation studio

Ship the agent.
Not the demo.

Most AI projects die at the proof of concept. We build chatbots, workflow pipelines and prompt systems that survive contact with real users and real edge cases.

Start a build
0agents live
0runs / month
0hrs saved / wk
0uptime

live pipeline — hover any node

the problem

A demo is not
a system

An AI demo works because someone typed the happy path. A system works because someone spent three weeks on everything else — rate limits, hallucination guards, fallbacks, logging, cost ceilings.

We build the boring 80%. That is why our agents are still running eighteen months later.

92% deflection rate, avg.
18 mo longest agent in production
guardrails.tspassing
// every reply passes through this before it reaches a user const guards = [ 'grounding', // answer must cite retrieved context 'scope', // refuse anything outside the knowledge base 'pii', // redact before logging 'cost', // hard ceiling per conversation 'escalate' // hand to human with full transcript ]; if (confidence < 0.72) return escalate(ctx);
process

How a build runs

week 1

Map & scope

We shadow the process, count the volume, and identify what genuinely needs a model versus a rule.

week 2–3

Prototype

A working version on your real data, deliberately tested against the ugly cases first.

week 4–5

Harden

Guardrails, logging, cost caps, fallbacks and the escalation path to a human.

ongoing

Handover

You get the repo, the prompts, the docs and a walkthrough. No black boxes, no lock-in.

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