AI Agents
Hire developers who build AI agents that call your tools, follow your workflows and stop for human approval where it matters.
An AI agent is software built on a large language model that plans and carries out several steps on its own: looking things up, calling APIs, filling in records and handing back a result. Developers build them with frameworks such as LangChain and LangGraph, the OpenAI Agents SDK and the Claude Agent SDK, and connect them to business systems through the Model Context Protocol (MCP).
Hiring for agents is mostly about hiring for judgement: a good developer knows which steps an agent should take alone, which need a person to approve, and how to test the whole thing before it touches real data. You can hire an agent developer for a fixed-scope project, by the hour from $10/hr, or monthly for ongoing work.
What We Build With It
- Design agent workflows with LangGraph, the OpenAI Agents SDK or the Claude Agent SDK, including branching, retries and memory
- Write tool definitions and MCP servers that give an agent controlled access to your CRM, database, email or internal APIs
- Add guardrails: input and output checks, permission scopes, spending limits and human approval before any irreversible action
- Build evaluation sets and logging so you can see every step an agent took and measure how often it gets the task right
- Control running costs by choosing models per step, caching results and capping the number of calls per task
- Deploy agents behind your existing login and audit trail, with data kept to the minimum each step needs
Where It Fits Best
- Support agents that read a ticket, check order status and draft a reply for a human to send
- Back-office agents that extract data from invoices or forms and enter it into an ERP or spreadsheet
- Research agents that search internal documents and summarise findings with links to sources
- Sales operations agents that enrich leads, update the CRM and schedule follow-ups
- Internal developer and IT agents that triage alerts, open tickets and run approved scripts
Let's build somethingsimple & powerful
Frequently Asked Questions
What is the difference between an AI agent and a chatbot?
A chatbot mainly answers questions in a conversation. An agent goes further and takes actions, such as calling an API, updating a record or running a multi-step workflow, often without a person typing each instruction.
Can an AI agent make mistakes with our data?
Yes. Agents can misunderstand a request or pick the wrong tool, so a careful developer limits what each agent can touch, logs every step and requires human approval for payments, deletions, emails to customers and anything else that cannot be undone.
How much does it cost to run an AI agent?
There are two costs: building it, and the per-call charges from the model provider each time it runs. Running costs depend on the model, the number of steps per task and your volume, so a developer should estimate them from a small pilot before you commit.
Which framework should we use: LangGraph, OpenAI Agents SDK or Claude Agent SDK?
It depends on your preferred model provider, how complex the workflow is and your team's language. LangGraph suits detailed, stateful workflows across providers, while the vendor SDKs are quicker to start with if you are already committed to that model family.
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