Custom AI Agents

Hire AI agents that actually do the work.

We build custom AI agents for marketing and sales — or plug into the agents you already have (OpenAI, Claude, Copilot, Agentforce, custom GPTs) and give them real tools, data and workflows to act on.

Get a free Custom AI Agents audit →What's included ↓

SOUND FAMILIAR?

✕You built a GPT, but it doesn't *do* anything

✕Agents that hallucinate or go off-brand

✕No idea how to connect agents to your stack safely

What changes

How we fix it.

Build

Custom agents with tools, memory and guardrails

Integrate

Connect your existing agents to CRM, ads, CMS via MCP & APIs

Orchestrate

Multi-agent workflows with human approval gates

Govern

Logging, evals, cost controls and access policies

Deliverables

What you get.

Clear scope, fixed monthly price, no lock-in after the first 90 days.

Agent use-case workshop & ROI model
Custom agents (e.g. SEO researcher, ad analyst, SDR, content editor)
MCP servers / API tools that give agents safe access to your systems
Integration with your existing agents & copilots
Evaluation suite + monitoring dashboard
Handover docs and team training

Process

The playbook.

Scope

Pick one job with clear inputs, outputs and a measurable win.

Prototype

A working agent in 1–2 weeks, tested on your real data.

Harden

Guardrails, evals, approvals, logging and cost limits.

Deploy

Ship to Slack, your CRM, website or internal tools. Then iterate.

The stack

Tools we master for Custom AI Agents.

Best-in-class platforms, wired together into one system and run by people who know them inside out.

ClaudeAI assistant

OpenAIAI models

MCPAgent tooling

n8nAutomation

LangGraphAgent orchestration

VercelHosting

SupabaseDatabase

PineconeVector memory

Not ready to talk? Start here

⚙️ 5 AI Automation Blueprints

Step-by-step builds for an AI lead qualifier, blog-to-social repurposer, ad report bot and more. Works in n8n, Make or Zapier.

FAQ

Questions, answered.

Can you work with the agents we already have?+

Yes. We often extend existing agents — custom GPTs, Claude Projects, Copilot, Agentforce or in-house builds — by giving them tools (APIs, MCP servers), knowledge and workflows so they can take real actions.

Is it safe to let an agent touch our systems?+

We design least-privilege access, human approval for anything irreversible, full logging and evals before anything goes live.

What does an agent cost to run?+

Usually cents per task. We model running costs up front and add budget caps so there are no surprises.