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About

Human-first AI, delivered calmly.

Agape Duck Intelligence Ltd is a consultancy based in Bournemouth, UK, founded by Jezz Baker. We help professionals, SMEs, consultants, medical professionals, charities and operators save time, reduce mental fatigue and delegate repetitive work intelligently.

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. That matters because ambitious research is genuinely useful without pretending unfinished technology is finished. We do not publish client endorsements; a note on why is on the endorsements page.

  • 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.

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