About
Human-first AI, delivered calmly.
Jezz Baker · BSc Business Management · University of Winchester, 2024
Meet the founder
Jezz Baker
I founded Agape Duck Intelligence to turn the useful side of AI into practical systems that remove repetitive work without removing human judgement. My background combines business management, student leadership, family-business experience, community sport and hands-on experimentation with AI, automation, software, simulation and physical prototyping.
I am most interested in the small pieces of work that quietly consume attention: repeated emails, admin, information hunting, handovers and routine decisions. The aim is not automation for its own sake. It is to give people back time and mental bandwidth while keeping responsibility, evidence and review visible.
Selected experience & achievements
Founder & Director
Agape Duck Intelligence Limited, a registered company in England and Wales.
Business Management graduate
BSc Business Management, University of Winchester, Class of 2024.
Former Chair, Business Management Course
Held a student leadership role representing Business Management at Winchester.
University-wide AI competition winner
Won a University of Winchester AI business event with an automation concept focused on repetitive social-media administration.
Family business experience
Supports Daisychain Commercial Cleaning, a family company owned by his mother, with practical exposure to day-to-day business operations.
Bournemouth Hockey Club Secretary
Supports club administration, communications and governance in a volunteer leadership role.
Bournemouth Hockey Club U14 Assistant Coach
Supports junior players with coaching, learning and practical team development.
Netball umpire
Umpires netball for the Bournemouth League and a league in Broadstone.
What we do
AI adoption, automation, custom web apps, digital systems, physical prototyping and coaching, always with a human reviewer in the loop and plain English throughout.
How we work
Ethical, privacy-conscious, remote-first. We prefer small, useful, well-crafted systems over noisy, over-engineered ones.
Why “Agape Duck”?
Agape is the ancient word for a steady, generous kind of care. The duck reminds us to stay calm on the surface even when there is a lot of work happening underneath. That is the standard we hold ourselves to.
What we work with
From everyday automation to experimental physical AI.
Our work spans practical AI assistants, web applications, workflow automation, evolutionary computation, simulation, additive manufacturing and experimental robotics.
The technologies differ, but the question stays similar: can this make a real task clearer, faster or easier without creating a larger burden elsewhere?
- AI assistants
- Human-in-the-loop AI
- Workflow automation
- Web applications
- Evolutionary algorithms
- Multi-objective optimisation
- Pareto trade-offs
- Simulation
- Route planning
- LiDAR
- Raspberry Pi
- Robotics
- SLAM / digital-twin research
- CAD
- Additive manufacturing
- Rapid prototyping
- Structured data
- Knowledge architecture
- GitHub / CI
Why these approaches matter
- Evolutionary optimisation
- because computers can test many possible solutions rather than relying on one manually chosen answer.
- Multi-objective optimisation
- because real organisations usually need to balance cost, speed, quality and risk rather than maximise only one variable.
- Simulation
- because ideas can be tested virtually before risking physical equipment.
- Rapid prototyping
- because ideas can become physical test objects quickly.
- Human-in-the-loop AI
- because organisations can reduce repetitive work while people retain responsibility for consequential decisions.
- Source-grounded AI
- because a system should know the difference between confirmed information, an assumption and a recommendation.
We say plainly what stage something is at
We distinguish clearly between live systems, working prototypes, experiments, research and ideas. Ambitious work is useful without pretending unfinished technology is finished. The Projects section shows the current stage and evidence available for each piece of work.
- Live: publicly deployed and currently functioning.
- Working prototype: functioning software or physical hardware exists, but development and testing continue.
- Experiment: a bounded test has been performed to investigate an idea.
- Research: active investigation, design and testing, where implementation may be incomplete.
- Idea: a future direction without sufficient implementation yet.
Have a practical problem worth solving?
Send a short, non-confidential outline of a recurring task or useful idea and we can consider whether there is a useful next step.
Start a conversationjezz@agapeduck.ai