AI agent development
We build AI agents that do the work and leave the decisions to a person. Our clients run six-agent systems, voice agents that book appointments and agents that draft documents, all in production. Fixed-scope projects start at $1,500.
- 50+ tasks a day completed by one six-agent system
- 811 commits on one five-month agent platform
- 81 automated tests on one agent lifecycle
- 4.9
What kinds of agents we build
Multi-agent systems.
An orchestrator that plans the work and hands it to specialist agents for content, email, development or monitoring.
Voice agents.
Outbound calls, appointments booked into your CRM calendar, and each call outcome classified so the deal moves to the right stage.
Follow-up agents.
SMS and email follow-up that runs inside a bounded tool loop.
Document agents.
New proposals assembled from your reference material and checked against a schema before anyone sees them.
Controls.
Approval gates, a spending cap for each agent and a log of every tool call.
Model routing.
Each task goes to the model provider that suits it, and the cost of every call is recorded.
Agent systems we have shipped
50+tasks completed daily
AnswerManiac: six agents for an HR tech founder
An HR tech founder wanted daily knowledge work handed to AI. We delivered six agents on a hardened VPS. A Boss agent delegates and runs memory extraction every night. A Content agent compares drafts from Claude, Gemini and Kimi. An Email agent acts only after its action is verified, a Dev agent has GitHub access, a Video agent handles YouTube SEO and a Sentry agent triages errors. Memory is reindexed on a schedule. The system is live at answermaniac.cloud.
17external integrations
Open DealFlow: a 138-node workflow replaced by agents and a portal
The client's follow-up ran on one 138-node low-code workflow that could not refresh its own auth tokens and failed without telling anyone. We built a multi-tenant portal on top of the CRM. A voice agent places outbound calls and books appointments. A second agent handles SMS and email. A third answers questions about the account from the database. Models are routed across four providers, and a daily check runs against production to catch jobs that fail quietly. The build took five months: 811 commits, 121 database tables and 26 scheduled jobs.
81automated tests passing
Project Firmament: seven agents under a ten-state work-order lifecycle
An owner-operator wanted to plug several businesses into one AI system instead of building automation around each. Every piece of work moves through ten states enforced on the server, so an agent cannot push work to a state it has not earned. Approval and deployment gates sit at the transitions that matter. Seven agents run across a seven-node cluster and reach the orchestrator only through a controlled bridge. We documented 13 architectural decisions and caught 5 deployment bugs before sign-off.
More agent work
- SavingAmerica.ai: three agents on Claude Managed Agents that write and send a daily broadcast. Read the case study
- Sales organization: a document-builder agent that reads attached images and returns proposal data validated against a schema. Three months, 914 commits and 163 test files. Read the case study
- US client: a two-agent OpenClaw system on a Mac Mini and a VPS, one agent for research and market summaries, one for software test generation.
- My Cloud Company: our own product. Managed teams of agents with an approval queue, a monthly budget cap per agent and 19 industry templates.
- Steel distributor: a working procurement prototype with a Claude project the purchasing team can question in English or Spanish. Read the case study
What it costs
Fixed-scope agent build
Scope, timeline and a fixed price agreed in writing before work starts.
From $1,500Dedicated engineer
A senior engineer who joins your team and works inside your tools. Billed monthly.
$25 per engineer, per hourSupport after launch
80 hours of support a month from the team that built it.
$1,450 per month
The first call is free and takes 30 minutes.
How it runs
A free 30-minute call, then a written proposal with a fixed price. We build in two-week sprints and you see a working demo at the end of each. The largest platform on this page took five months.
Who does the work
Full-time engineers and designers in our own office. No freelancers and no subcontractors. The senior engineer from your first call writes the code and stays on the project until handover.
Questions about AI agents
How is an agent different from a chatbot?
A chatbot answers questions. An agent takes steps: it reads records, calls tools and writes results back, then stops where you have set an approval gate.
How do you stop an agent from doing damage?
Anything that leaves your business waits for a person to approve it. An agent can be given a spending cap and stops when it reaches it. Every tool call is logged.
How do you know an agent is working?
Automated tests before launch, and a daily check against production afterwards that reports jobs which failed quietly.
Which AI models do you work with?
Claude, OpenAI's GPT models and Google's Gemini. Most of our recent projects run on Claude, and our engineers build with Claude Code every day. We choose the model for the task and name it in the proposal.
Can agents run on our own infrastructure?
Yes. We have deployed agents on a VPS, on a Mac Mini and on a seven-node cluster.
How much does an AI agent cost to build?
Fixed-scope builds start at $1,500. Larger platforms are quoted in writing after the first call.
Tell us the job you want an agent to do
Describe the work on a 30-minute call. You leave with a plan and a cost, in writing.
Book a discovery call