Custom AI agents built for production.
Autonomous workflows, RAG, LLM-powered chat, agent platforms. Hand-coded against the Claude Agent SDK and equivalent tooling, deployed against real cost ceilings and real eval suites.
- Starting at
- $25k
- Structure
- Phase-by-phase quote, fixed bid
What you get for the work.
- 01
Built for production, not demos
Eval suites before launch, cost ceilings per request, structured fallbacks when the model misses. The agent does not surprise you on the bill or the output.
- 02
Real tools, real side effects
Tool calling against your own APIs. We wire the agent into the systems that move money or change state, not just a chat with retrieval.
- 03
Your data, your boundaries
RAG over the documents you control. Citations on every answer. The model sees what you let it see and nothing else.
- 04
Owned by you
Codebase, prompts, eval set, deployment all hand off at launch. No vendor lock to a proprietary agent platform.
What we build it on.
- Claude Agent SDK
- Anthropic's first-party agent runtime. Primary for new builds.
- Claude Opus / Sonnet
- Model selection per step based on cost and latency budgets.
- OpenAI / Gemini
- Where the work calls for a second provider or a model-router.
- Postgres + pgvector
- Embeddings, retrieval, citation source-of-truth.
- Inngest / Trigger.dev
- Long-running agent jobs with retries and observability.
- Langfuse / Helicone
- Trace every call, eval every output, see real cost per session.
$25k buys this. Bigger scope scales it.
Included at the floor
- One agent with up to five tools
- RAG over a single corpus, up to 5k documents
- Eval suite with 30+ test cases
- Cost-ceiling enforcement and structured fallbacks
- Deployed to Vercel, Cloudflare, or your own infra
- Two-week support window after launch
What scales the number
- Multi-agent orchestration with handoffs and shared memory
- RAG across multiple corpora or live data sources
- Voice agents (Cartesia, ElevenLabs) on top of the text core
- Custom fine-tuning or distillation onto smaller models
- Continuous-eval pipeline with regression alerts
What a starter AI agent looks like
The $25k floor covers a single agent with up to five tools, RAG over one document corpus, an eval suite, cost-ceiling enforcement, and a real deployment. Two to four weeks. We pick the smallest agent that earns its keep and ship that one first.
Where the build scales
Three things drive the number up. The first is the number of agents and how they coordinate, which we charge against because multi-agent eval surfaces are exponential, not linear. The second is data scope, since RAG over five corpora and live data is a different problem than RAG over one. The third is the I/O surface, since voice or webhooks or document parsing each add their own eval and reliability work.
What we will not build
Agents that are just GPT wrappers with no tools. Agents whose only job is to summarize text. Agents with no eval set. Anything where the demo works on day one and the cost trace on day thirty is unbounded.
Common questions.
- Why pick HARTECHO over hiring directly?
- A two-week proof on a fixed bid usually answers "is this even feasible" faster than a hire-and-onboard cycle. Once it works we can hand it off to whoever you bring in.
- Will the agent leak our data?
- We default to a self-hosted vector store, prompt-injection filters, and no training on your data. Anthropic and OpenAI both offer zero-retention modes which we wire up by default.
- What if Claude or OpenAI prices change?
- Cost ceilings live in the codebase, not in the prompt. We can swap models or providers without rewriting the agent. The eval suite tells us whether the swap regressed quality.
- How long does a starter agent take to ship?
- Two to four weeks from kickoff to a deployed agent at the $25k floor. Multi-agent orchestration and voice push that to six to ten weeks.
- Do you build chatbots?
- Yes, but only when a chatbot is the right shape. Most "we need a chatbot" briefs are actually agent-with-tools briefs, which is a different build.
- Can the agent run inside our existing app?
- Yes. We package as an API the rest of your app calls. We have no preference about your frontend.
Pair this build with.
Build this with us.
Twenty minutes through the intake. A real reply within a work day.