Active Knowledge Modelling

AI News and Commentary

Examples and worlds

All articles

Active Knowledge Modelling

AI News and Commentary

Examples and worlds

Mimris articles · Ideas for model-driven work

Use AI to help you understand your work before you ask it to execute.

Explore practical explanations, product thinking, and AI commentary from Mimris. These articles follow knowledge from the world people understand, through models and processes, into work that people and AI can perform together.

Read across three chapters. Active Knowledge Modelling explains the foundations, AI News and Commentary examines current developments, and Examples and worlds connect the ideas to familiar domains.

Start with the latest article or follow a chapter from its foundations to applied work.

A governed AI work loop from understanding the work and defining the enterprise model to preparing context, asking AI to execute, and reviewing the result
Use AI to understand the work before asking it to execute.

AI-native software development · 10 minute read

AI Can Generate the Code—But Who Defines What Is Correct?

Why rapidly scaling AI implementation makes independent work models, acceptance criteria, architecture, and semantic verification increasingly important.

Read the article

From Process Models to AI-Assisted Task Execution

See how Mimris turns process context and model-grounded Tasks into a generic execution pattern.

What Is Mimris?

Meet the ecosystem for modelling a world and putting it to work.

Why AI Needs Models

Why useful AI work depends on explicit concepts, relationships, rules, and context.

What Is Active Knowledge Modelling?

Understand the approach behind Mimris.

The Coffee Shop World

Follow a familiar world from model to work inside an AKM Universe.

Two Complementary Jobs

See how the products divide responsibility.

Can AI Have Consciousness?

An exploratory hypothesis about living and artificial systems.

Governed Agent Loops

Why model-based context, controls, verification, and human review matter when agents keep working.