Stop prompting.
Start building a system.
Four hours, hands-on, on your own real work. You won’t leave with notes about what Claude can do — you’ll leave with a working system: your context structured, your output verified, one live integration running, and a roadmap for what to build next.
Most people use Claude from a standing start, every single time.
They open a blank chat, paste in some background, get a competent but generic answer, and quietly conclude the tool is overrated.
The tool isn’t the variable
Context is. Claude answers generically because it was given nothing specific to work from, not because it can’t do better.
Context you retype isn’t context
If you reassemble the same background every morning, that’s not a system. It’s a chore with better output.
A loop that compounds
What you give Claude, how you check what comes back, and how one good cycle makes the next one faster. Almost nobody teaches this.
Five things that exist, not five things you saw.
An AI-ready knowledge base
Your existing files sorted into eight categories, and a Claude Project that carries your business into every conversation.
One verified output
Run through a checklist you keep — because the fastest route to a confident mistake is amplifying work you never checked.
A full cycle, done properly
Think, build, deploy, track, review — on a real deliverable of yours, not a toy example.
One live integration
Claude connected to a tool you actually use, reading your real data and writing back — with a register of what it may touch.
A one-page roadmap
The repetitive work in your week, and an honest call on which piece is worth turning into something others rely on.
Built on your own work
Not a sandbox, not a demo account. Everything above exists on your laptop when the four hours end — and keeps working on Monday.
Five blocks. Each ends with something built.
Open a block to see what happens in it.
01Context — your AI-ready knowledge base0:15 · 40 min
You’ll sort your existing files into eight categories using a method that takes ten seconds per folder, then build a Claude Project that carries your structure, your people and your current priorities into every conversation you start.
Then the part that changes minds: you ask one real question in a blank chat, ask the same question inside your Project, and put the two answers side by side.
- You build: eight categories, a Claude Project, custom instructions, curated project knowledge, a decision log
- The idea: documents tell Claude what you have; a decision log tells it how you think
02Trust — validate before you amplify0:55 · 40 min
Better answers that go unchecked are just a faster route to a confident mistake. This block is the discipline that has to travel with the capability.
You’ll take one real output — something you’d actually send — and run it through a verification routine that separates what was read from what was calculated from what was guessed.
- You build: one verified output, and a reusable verification checklist
- The idea: trust is earned per output, not granted to a tool
03Rhythm & system — the productivity loop1:45 · 40 min
One cycle, start to finish, on a real deliverable you actually owe someone: think it through, build it with Claude, ship it, log it, then close the loop by writing down what you learned.
You’ll also start the project file that encodes how you work, so the next cycle begins further along than this one did.
- You build: one completed deliverable, plus a project file that persists your standards
- The idea: productivity isn’t clever prompts — it’s a loop that compounds
04Connection — wire Claude into your real tools2:25 · 40 min
Everything so far lives in Claude and your own files. This block connects it to the tools where your work actually happens — whichever one you already use.
You’ll read your live data, write one small reversible record back, verify it landed rather than trusting the “done” message, and fill in a register of what the connection is allowed to touch.
- You build: one live connection and a connection register
- The idea: least privilege, and verify at the destination
05Product — from a system to something reusable3:05 · 40 min
The capstone. You’ll list the work that repeats in your week, score it, and make an honest call about which piece is worth turning into a tool, a template, or something other people rely on.
Then three design decisions that separate a demo from something dependable: what stays deterministic, which model does which job, and where the boundary sits.
- You build: a one-page AI product roadmap for your own work
- The idea: the goal was never a better chat — it was leverage
Thirty years of hype cycles. The tools kept changing — what separated the wins from the write-offs was never the tech. It was whether anyone built a way of working around it.
This workshop applies that lesson to Claude.
Proven in production, not pulled from the docs
It’s the exact operating model behind ten commercial products live today — with Claude wired into the tools that run them, every day.
Same playbook, smaller scale. What you build in four hours is a scaled-down version of that stack — and every pattern shipped on real work before it made the course.
- The InSite suite
- A career-insight tool
- A community platform
- This Academy
What’s actually running here
5 of 8 Build with Claude capabilities- Claude Code
- Skills
- MCP
- Tool use
- Prompt engineering
- Agents
- Computer use
- Formal evaluations
We’d rather tell you that up front than let you discover it at 3pm.
Agility Ops is working towards a partnership with Anthropic.
Cheaper than the full-day rooms. Deeper than the free webinars.
Every pattern taught had to survive real work first.
“The difference was rarely the technology. It was whether anyone built a way of working around it.”
— the premise of the workshop
Thursday 15 October, 9:30am–1:30pm AEDT.
Twelve seats at the founding price of A$495. Reserve below and a payment link follows by email — your seat is held while you sort it out.
The questions worth asking.
Do I need to be technical?
Where does it run, and how do I join?
What do I need before we start?
Do I have to install anything?
Is it really hands-on, or is that just a word?
What if my files are sensitive?
What if I have to cancel?
What happens afterwards?
Find out where you actually stand first.
This workshop assumes you already know AI capability is what you’re short of. If the real question is which of your skills is ageing and how fast, start at the other end. Know where you stand, then close the gap — most people do it in that order.