AI AGENT DEVELOPMENT

AI Agent Development That Ships in 4 to 8 Weeks.

Custom AI agents and agentic workflows for non-technical founders and operations teams. Production-ready, observable, and built around the way your business works.

AI agent development means building software that reasons, plans, and takes multi-step actions across your tools instead of waiting for human input on every step. We build custom agents on Claude, GPT, and open-source models like Llama, integrated into your stack, with observability and fallbacks from day one. Most builds ship in 4 to 8 weeks.

By Gianluca Boccadifuoco

WHAT YOU GET

Everything in the box.

Production agent system

Not a demo. A working agent that runs against real data and real users from day one.

Observability + logging

You see every prompt, every tool call, every fallback. No black boxes.

Documentation

Architecture decisions, prompt versions, and runbooks. So your team can extend it after we leave.

Terms agreed up front

Repository access, infrastructure, credentials, IP, and support are defined during the audit and project scope.

30-day post-launch support

Bug fixes, prompt tuning, and edge cases caught in the first month of real traffic.

Tech stack you can hire for

Claude, OpenAI, LangGraph, n8n. Not bespoke frameworks only we know.

THE PROCESS

How we build it.

1

Discover

One week of scoping. We map the workflow, the data, and what good looks like.

2

Architect

One week. We pick the stack, draft the agent graph, and sign off the budget with you.

3

Build

3 to 5 weeks of focused build with weekly demos. You see real progress, not slides.

4

Ship + Train

One week. We deploy, train your team, hand over the keys, then watch it run for 30 days.

STACK

Tools we use.

Claude (Anthropic)GPT (OpenAI)Gemini (Google)Vercel AI SDKLangGraphCrewAIClaude Agent SDKMastran8nVercelSupabaseTurbopuffer / Pinecone / pgvectorLangfuse + OpenTelemetry GenAI
PRICING

Scoped one-off or ongoing team.

The five-day AI Readiness Audit defines the opportunity, integrations, and delivery model. Well-scoped one-off builds receive an agreed fixed price; ongoing or exploratory work uses the AI Team model. Most agent builds land between $15,000 and $60,000.

Revenue-share arrangements available on the right partnerships. Ask on the call.

FAQ

Common questions.

Most builds ship in 4 to 8 weeks. Simple single-agent automations land closer to 4 weeks. Multi-agent systems with several integrations and custom UI take closer to 8. The five-day AI Readiness Audit gives you the realistic timeline before a build starts.
Repository access, infrastructure, credentials, IP, and support terms depend on the engagement. We agree them during the five-day AI Readiness Audit and put them in the project scope before the build starts.
A chatbot answers questions in a single conversation. An AI agent reasons, plans, and takes multi-step actions across your tools. Use a chatbot for FAQ-style support. Use an agent when the task needs research, decisions, or actions across systems. We wrote a longer breakdown at /insights/ai-agent-vs-chatbot.
Yes. We integrate with CRMs (HubSpot, Salesforce, Pipedrive), ticketing (Zendesk, Intercom, Help Scout), data warehouses (Snowflake, BigQuery), comms (Slack, Teams), and most REST or GraphQL APIs. If you have an unusual stack, we scope the integration cost up front.
That is the most common case. The free fit call helps us decide whether the five-day AI Readiness Audit is useful. The five-day audit then maps the workflow, finds the highest-ROI opportunity, and tests whether a custom build is worth it.
FREE FIT CALL

Ready to scope an agent?

30 minutes. We map the workflow and tell you whether the five-day AI Readiness Audit is the right next step.