01
Process, not prompting
Context engineering and disciplined workflow — why how a team works with AI beats clever prompts.
00 —Leadership Nomad presents Agentic Practices
You bought the AI tools.
You bought the AI tools.
That was the easy part.
Licences don't change how a team ships — practice does. Agentic Practices turns AI from scattered experiments into a disciplined, daily engineering capability your team owns.
The AI-Augmented Engineering Masterclass for software teams, with Stephan Swart.
75%
shorter delivery cycles
~400%
more frequent deployments
3mo → <3wk
onboarding time
Results from 5+ years embedding AI-augmented delivery at MagnaBC.
01 —Why it works
Capability that survives the programme — not a one-off course.
02
In your real work
Spaced, deliberate practice on the team's actual codebase and stories — capability that survives the programme.
03
Cross-functional
Product, dev, QA and design learn one shared way of working — not a dev-only trick.
04
Champions, not dependency
Senior engineers become coaches; the need for an external trainer fades by design.
02 —Smallest viable audience
For serious teams who care about engineering craft.
This is for you if…
- →You lead a software team that has the AI tools but not yet the disciplined, daily, team-owned way of working.
- →You want adoption that's demonstrably true — measurable in delivery — not a claim in a slide.
- →You can protect a few hours a week for spaced, deliberate practice on real work.
This is not for you if…
- ×You want a one-hour “prompting tips” webinar. This changes how a team works, over multiple sessions.
- ×You're looking for the cheapest option. We compete on outcomes that stick, not price.
- ×You want a passive, watch-the-videos course. Every session applies to your own codebase.
03 —The Programme
Five phases, from set-up to a capability you can prove.
Remote and recorded · cohorts of 15 on staggered schedules · ~2–3 months kick-off to capstone.
01
Phase 01
Prerequisites
Tools installed, readiness diagnosed before any live time is spent.
Walk away with: everyone set up; weak spots identified early
02
Phase 02
Kick-off
Inspiration showcase, fundamentals, and UX discipline. Teams formed and briefed.
Walk away with: cross-role teams of 3–5, a working agreement, a first project idea
03
Phase 03
Foundation courses
Short self-paced courses (Claude Code 101 / in Action) across all roles.
Walk away with: confirmed baseline competency
04
Phase 04
Agentic Engineering Master Class
8 × 2-hour sessions: requirement → PRD → executable specs → architecture → standards → TDD → review → operating model.
Walk away with: a working requirement-to-tested-code pipeline in their codebase
05
Phase 05
Capstone Hackathon
~24 hours of focused build on a real, approved project — full practice end to end.
Walk away with: demonstrable proof the team can run the whole workflow independently
04 —Outcomes & proof
“My work is guaranteed for your satisfaction. I will keep working until the outcomes described are reached, at no additional cost.”
— Stephan Swart · Lead facilitator, Agentic Practices
75%
shorter delivery cycles
~400%
more frequent deploys
~90%
average code coverage
1 → 5
cross-functional teams
05 —Packages & pricing
A ladder from a single seat to org-wide adoption.
Public Masterclass seat
Individuals testing the approach
$850ex-VAT · per seat
- A seat in a scheduled open cohort
- Remote, recorded, fixed dates
Single Team Cohort
One cross-functional team (3–15)
from$13 000ex-VAT · per programme
- Full five-phase programme
- Capstone hackathon included
- Private cohort, your codebase
Multi-Team Programme
Several teams or a department
from$35 000ex-VAT · per programme
- Staggered cohorts of 15
- Shared operating model
- Champions track
Fully Bespoke
Org-wide adoption & governance
Let's scope itfixed-fee · tailored
- Tailored scope & data fit
- On real client codebases
- Exec-facing kick-off
All programmes are fixed-fee (ex-VAT), payable across ~4 months. AI tool licenses are billed separately. Indicative bands — final investment depends on team size, number of teams, and customisation.
06 —About
The person who runs it — and stays until it sticks.
Stephan Swart
Lead facilitator · Fractional CTOEngineering-leadership specialist focused on AI-augmentation adoption through Leadership Nomad (since 2011). Five-plus years embedding AI tooling and delivery discipline at MagnaBC; CTO & Chief Architect at Firefinch. He teaches with proven learning science — spaced, deliberate, retrieval-based practice, not lecture-and-forget — and doesn't stop at training: he embeds AI into the team's day-to-day workflow.
07 —Questions
Answering the skeptic, out loud.
No. It's context engineering and disciplined workflow — process over cleverness — embedded in your team's real codebase. The cleverest prompt doesn't change how a team ships; a shared, daily way of working does.
The programme builds internal champions by design. Senior engineers become coaches, conventions are written down and owned by the team, and the need for an external trainer fades by the capstone.
Lead with the per-head output argument and the delivery metrics from 5+ years embedding AI-augmented delivery at MagnaBC: 75% shorter delivery cycles, ~400% more frequent deployments, onboarding cut from 3 months to under 3 weeks.
It's a plain-English capability: turning requirements into tested, reviewed, standards-bound code with agentic tools. We show outcomes, not buzzwords — every session applies to your own codebase.
08 —Book a scoping call
Bring AI into how your team actually ships.
A 15-minute call to see if Agentic Practices fits your team. No obligation — we draw the team / bespoke line on team size, plainly.
- → We review your current AI-coding maturity
- → We map the five phases to your stack
- → You get an honest “is this for you” answer
Request received
Thanks — we'll be in touch.
Stephan will review and come back within 2 business days with a time and what the call covers.