About
WorkRecode is building a new approach to AI capability development.
A venture of AI Deploy Labs, operated by AI Deploy Ltd, focused on work-based AI capability development.
- 01Work
- 02Capability
- 03Learning
- 04Application
- 05Workflow redesign
- 06Evidence
Why WorkRecode exists
Learning about AI is not the same as learning to work differently because of it.
AI is changing how work gets done. WorkRecode was created around a simple idea: capability grows when learning is connected to the work itself.
Don’t just teach people about AI. Teach them AI—and then teach them how to work differently because of it.
Traditional AI training
Learn tools
Complete courses
Receive information
WorkRecode
Assess capability
Apply to real work
Redesign how work gets done
Work-based development
A learning environment grounded in real work.
Your work
- Role
- Responsibilities
- Goals
- Current AI use
- Real work objective
WorkRecode
- Capability development
- AI expertise
- Workflow expertise
- Joice + practice
Changed work
- Application
- Workflow redesign
- Evidence
Meet Joice
The WorkRecode AI Tutor.
Joice represents the teaching side of WorkRecode: helping learners understand AI, practise, reason, apply and receive feedback.
She is an intelligent learning partner within the capability system—not the entire architecture.
AI as teacher
From assessment to demonstrated capability.
Assessment informs personalised learning. Joice explains, questions, challenges and supports practice.
The objective is not simply to increase confidence. It is to develop demonstrated capability.
- 01Assessment
- 02Personalised learning
- 03Joice
- 04Practice
- 05Feedback
- 06Demonstrated capability
AI as work transformation partner
The learner remains in control of the work.
WorkRecode helps examine real workflows, explore AI opportunities and propose how the work could be redesigned.
AI proposes. The learner confirms, edits or rejects.
- 1Describe
- 2Explore
- 3Map
- 4Challenge
- 5Propose
- 6Confirm
- 7Test
- 8Blueprint
Proposal for review
Separate AI assistance from human judgement
AI can assist
Human confirms
Evidence retained
AI proposes. The learner confirms, edits or rejects.
Evidence matters
Insufficient evidence remains unverified.
- 01Reasoned
- 02Learned
- 03Applied
- 04Designed
- 05Implemented
- 06Measured
Confidence ≠ capability
Tool usage ≠ capability
Intention ≠ implementation
The platform does not invent experience, implementation or outcomes.
Capability model
Different dimensions. Not one simplistic number.
Knowledge
What you understand
Confidence
How certain you feel
Experience
What you have encountered
Demonstrated capability
What evidence supports
Technology usage
Context, not capability
Work knowledge
What you know about the work
AI capability
What you can reason and do
Transformation opportunity
Where work could change
Our principle
AI-operated. Human-governed.
AI
Analysis. Teaching. Suggestions. Assistance.
Human
Judgement. Confirmation. Editing. Rejection. Responsibility.
Part of AI Deploy Labs
Building the companies of the AI-native economy.
Parent company
AI Deploy Labs
Building the companies of the AI-native economy.
Venture 001
WorkRecode
Work-based AI capability development.