Custom AI Agents
LLM-powered agents that browse, extract, classify, decide and act on web data inside your existing workflow.
Agents that browse and act
Apex Automation Team builds custom AI agents that combine LLM APIs (OpenAI, Anthropic, Gemini and open models) with our browser automation and scraping stack. The result is an autonomous workflow that reads web pages, extracts and classifies information, makes rule-based or model-based decisions, and takes the next action in your CRM, spreadsheet, inbox or web app.
Examples we build
- Lead qualification agents that research a company, score it and draft outreach
- Content-ops agents that monitor sources, summarise and publish
- Support and intake chatbots connected to your own data
- Decision-making loops: check → decide → act → verify, with human approval gates
- Autonomous research agents that fill spreadsheets with verified facts and links
- n8n AI agent workflows: multi-step agents built on n8n nodes, with your own tools, memory and approval steps, self-hosted or cloud
Built responsibly
Every agent ships with logging, cost caps, retries and approval steps where an action is irreversible. We integrate with n8n, Zapier, Make, Google Workspace, HubSpot, ClickUp, Slack and custom APIs, and we can self-host the whole agent stack on your own server. On what these agents genuinely do well and where they still need a person, our honest account of agents in lead generation is worth reading first.
Pricing
Prototype agents from $200; production systems with integrations typically $500 to $2,000+. Free scoping call and feasibility test first.
Frequently asked
How is an AI agent different from a normal script?
A script follows fixed rules. An agent reads pages, classifies what it finds and decides the next action, which suits research, qualification and messy inputs where rules alone would fail.
What stops an agent from making things up?
Guardrails. Agents work from retrieved source data rather than memory, every decision is logged with its justification, confidence thresholds route uncertain cases to a human, and irreversible actions always need approval.
Which models do you use?
OpenAI, Anthropic, Gemini or open models, plus n8n agent workflows where you want a self-hosted option. The choice depends on your cost, privacy and latency requirements.