Agentic AI
AI that takes action, not just answers questions
Justin designs and builds custom agentic AI systems for businesses ready to move beyond chat. Autonomous agents, multi-step workflows, and full implementations that compound capability across your organisation.
Beyond Chatbots
What we mean by agentic AI
Most teams are still using AI like a search bar. Agentic AI is the next step. Software that decides, acts, and reports back, with humans in the loop where it matters.
Autonomous, not assisted
An agent doesn't wait for the next prompt. Give it a goal, give it tools, give it constraints, and it works through the steps to get there.
Multi-step, not single-shot
Real work is rarely one prompt and done. Agents plan, retrieve, act, evaluate their own output, and iterate. The result is closer to a team member than a tool.
Outcome-focused, not feature-focused
We don't build AI for the sake of AI. Every system Justin builds is wired to a measurable outcome. Time saved. Revenue lifted. Risk reduced. Capacity unlocked.
What Justin Builds
Agentic AI for the work you already do
Six common shapes. Every build is custom. The pattern is constant: identify a high-leverage workflow, automate it end-to-end, and free your team to focus on the work that matters.
Sales & Marketing Agents
Outbound research, account briefing, content drafting, campaign planning, and CRM hygiene. Agents that take repeatable knowledge work and run it at machine speed.
Internal Knowledge Agents
Custom agents trained on your documents, workflows and SOPs. Your team asks a question. The agent retrieves, reasons, and answers in your voice with the right context.
Operations & Reporting
Weekly dashboards, status reports, KPI summaries, exception alerts. Agents that pull from your systems, write the narrative, and put the right insight in front of the right person.
Custom Workflow Automations
Multi-step processes that previously needed three people and a spreadsheet. Built as autonomous workflows with decision points, escalation paths, and human-in-the-loop checkpoints.
Customer Experience Agents
Customer-facing AI that answers, qualifies, books, supports, and recommends. Branded, governed, and integrated with your existing tools.
Multi-Agent Systems
Orchestrated networks of agents that hand off work between each other. Research agent feeds writing agent feeds publishing agent. Specialised, composable, and controllable.
The Stack
Built on the frontier, ready for production
Justin works at the leading edge of agentic AI. Platform agnostic, vendor neutral, and selected for fit, not for fashion.
OpenClaw
Justin's own agentic platform. Used by his team and clients to deploy production-grade agents quickly with proper governance.
Claude Agent SDK
Anthropic's developer toolkit for building agents on top of Claude. Memory, tool use, file system access, and the controls enterprises need.
Claude Code
Frontier coding agent for the build phase. Where the heavy lifting happens — backend integrations, prototypes, custom logic, and the connective tissue your business runs on.
And the wider stack
ChatGPT, Microsoft Copilot, Google Gemini, Perplexity, plus complementary tools for retrieval, evaluation, observability, and workflow orchestration. The right tool for the job, not vendor lock-in.
The Process
From scoping to live system in weeks, not quarters
A repeatable process refined across dozens of engagements. Designed to ship value early and transfer capability to your team as we go.
01
Discover
Two to three week engagement. Audit your current state. Map the workflows where AI moves the needle. Identify the right first build to prove value fast.
02
Design
Architecture, scope, governance, and success metrics agreed up front. Clear deliverables. Clear timelines. Clear owners on both sides.
03
Build
Rapid, iterative builds. Working prototypes in weeks, not quarters. Justin works alongside your team, not over the top of them, so capability transfers as the system goes live.
04
Deploy & Embed
Production deployment, monitoring, training, and a clear handover. Your team owns and extends what's been built. The aim is independence, not retainer dependency.
Why Justin
Builder credentials.
Practitioner mindset.
20+ years translating tech into outcomes
Justin built and scaled a national agency for 17 years before turning his focus to AI. Websites, then apps, then social, then mobile. AI is the next chapter, and the same playbook applies. Match the tech to the outcome and ship.
On the leading edge, every day
Justin uses Claude Code, Claude Agent SDK, OpenClaw and the rest of the frontier stack as default tools, not as research projects. The work he ships for clients is the same work he uses to run his own businesses.
Independence over dependency
Every engagement is designed so your team owns and extends what's built. Capability transfer is part of the brief, not an afterthought. The goal is to make Justin unnecessary, fast.
Ready to build something agentic?
If you have a workflow that's eating your team alive, or a product idea that only becomes viable with AI in the loop, the next step is a conversation.