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Software that does the multi-step work

AI agents

Semi-autonomous agents that reason through multi-step tasks across your systems, with retries and fallbacks, not just one-shot replies.

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AI agents go beyond chat. They reason through multi-step tasks across your systems, take real actions, and recover when something fails. A custom AI agent can research a lead, update your CRM, draft a reply, and book a follow-up without a person in the loop.

We build production agents, not demos, with retries, guardrails, evaluation, and monitoring from day one. For a growing business, that means the repetitive multi-step work gets done reliably while your team focuses on the judgment calls software cannot make.

What you get

  • Research, drafting, and updates that run without a person in the loop
  • Consistent handling of repetitive multi-step processes
  • Agents that act on your systems, not just chat about them

What we build

  • Agents that research a prospect, update the CRM, and draft outreach
  • Support triage, lead qualification, and reconciliation agents
  • Single-agent and multi-agent architectures
  • Evaluation, monitoring, and cost controls built in from the start

Typically built with

  • Cloudflare Agents SDK
  • AI Gateway
  • Workers AI
  • Durable Objects
  • Hermes Agent
  • OpenClaw
  • Anthropic

How we build it

We build agents as stateful services on Cloudflare primitives and route every model call through an AI gateway, so they are observable, recoverable, and cost-controlled from day one. For faster builds and self-improving assistants we work with open agent frameworks like Hermes Agent, and OpenClaw where a multi-channel assistant fits.

Cloudflare Durable ObjectsEach agent is a stateful, individually addressable instance with its own storage, so memory and coordination need no separate database.
AI GatewayEvery model call is proxied for caching, retries, cross-provider fallback, spend limits, guardrails, and full observability.
Workers AI and external modelsEdge inference and embeddings on Cloudflare, or frontier models from Anthropic and OpenAI, swappable behind the gateway.
Vectorize and WorkflowsVector memory for retrieval, and durable multi-step workflows for long-running tasks that survive restarts.
Hermes Agent and OpenClawOpen agent frameworks we use to prototype quickly and to run self-improving, multi-channel assistants.

Work that used this

< 60s
from inquiry to first response

Northwind Studio

Lead response cut from hours to seconds

A creative agency was losing warm leads to slow follow-up. We automated intake, qualification, and routing so every inquiry gets an instant, personal first touch.

Read case study

AI agents questions

What is the difference between an AI agent and a chatbot?

A chatbot answers questions. An agent takes action across your systems, like updating a record or processing a request. Many setups use both, with the chatbot handing off to an agent when something needs doing.

Are AI agents safe to run on our systems?

Yes, when built properly. We use least-privilege access, guardrails, and monitoring, and we test on real cases before anything goes live.

Do we own the agent you build?

Yes. The agents, automations, and integrations we build are yours, documented so your team can run and extend them with or without us.

Think this fits your business?

Book a call and we will tell you straight whether this is the right first move, and what it would take.

Book a callSee our work