AI Agents

AI agents that actually do the work, not another chatbot gathering dust on your homepage.

Most “AI agents” on the market are glorified FAQ bots. I build purpose-specific agents that replace a job, or a chunk of one, for small Australian businesses. Lead qualification. Inbox triage. SEO content drafting. GA4 reporting. Integrated into Gmail, HubSpot, Notion, Slack, or whatever your stack already runs on.

AI agents for business automation
Common builds

What I build most often.

Every agent is custom, trained on your tone, your data, your rules. These are the builds that pay for themselves fastest.

Lead Qualification Agent

Sits on your contact form or WhatsApp Business number. Asks the three questions that matter, scores the lead, routes hot leads straight to your phone, sends a polite “not a fit” to the rest. Answers in under 60 seconds, 24/7.

Inbox Triage Agent

Reads your Gmail, labels emails by priority, drafts replies to the 70% that are routine, escalates the 30% that need you. Saves 5–10 hours a week for most business owners.

SEO Content Agent

Takes a topic and a brand voice guide, outputs a first draft that hits your on-page SEO rules. Meta title, description, H-structure, schema, internal links. You edit; you don’t start from a blank page.

GA4 Reporting Agent

Every Monday morning you get a plain-English summary of your weekly traffic, conversions, top pages, and anomalies. In Slack or email. No more opening GA4 to dig for answers.

Review Response Agent

Drafts responses to Google Business Profile and Trustpilot reviews in your voice, balanced tone for 5-stars, empathetic and non-defensive for 1-stars. You approve; the agent posts.

Competitor Monitoring Agent

Tracks your top 5 competitors, pricing changes, new blog posts, product launches, social announcements. Digest into your inbox weekly.

How a build works

Four weeks from conversation to running.

Week 1, Scoping

We map the exact workflow the agent is replacing. Inputs, outputs, edge cases, fallback rules. If an agent isn’t the right tool, I’ll tell you before we build anything.

Week 2, Build

Agent scaffolding, prompt engineering, tool connections, knowledge base ingestion. Built on OpenAI, Anthropic or Google models depending on the use case. Integrated into your existing stack.

Week 3, Testing

You feed it real cases. I iterate on the prompts and rules until it’s making the decisions you’d make. Usually 2–3 rounds of refinement.

Week 4, Launch + handover

Agent goes live. You get documentation, access to change prompts yourself, and a month of bug-fix support included. Ongoing maintenance is optional.

FAQs

What does a typical build cost?

Simple agents (single workflow, one integration): from $2,500 one-off. Complex agents (multi-step, multi-tool, custom knowledge base): $5,000–$15,000 one-off plus monthly platform costs. I quote each one based on scope.

What are the ongoing costs?

Model API costs (OpenAI, Anthropic, Gemini), typically $20–$200/month depending on usage. Platform costs (if we use Zapier, Make, or a custom hosting setup), usually $20–$100/month. I’ll estimate this accurately before you commit.

Do I own the agent or are you hosting it?

You own it. Prompts, code, knowledge base, integrations, all yours. You can change providers or take it in-house whenever you want.

Will it replace a person?

Usually it replaces a chunk of a person’s work, not a whole role. Most clients redirect the time saved into higher-value work, not headcount cuts.

Is it safe? Won’t the AI say something embarrassing?

Every agent has guardrails, approval steps for external-facing replies, escalation triggers, fallback scripts. The agents I build don’t publish anything externally without your sign-off unless you explicitly turn that on.

Got a workflow that eats your week?

Tell me what you’d automate if you could. I’ll tell you honestly whether an agent solves it and roughly what it’d cost.

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