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Glossary

Context window

The amount of information an AI model can hold in mind at once when processing, reasoning or generating an output.

A context window sets the boundaries of what an AI can “see” at a given moment. It includes the text, data or conversation history the model can pay attention to while making a decision or producing a response.

Context in Decidr

In most AI systems, the context window is a hard technical limit. Give the model too much information and it forgets, compresses or drops important details. This creates blind spots, errors and explanations that don’t line up with reality.

Decidr treats context differently. Instead of trying to cram everything into a model’s limited attention span, Decidr structures your information — your goals, entities, relationships and workflows — into ontology and schema. This lets your agentic apps work with organised context rather than raw text.

Your apps don’t rely on remembering everything. They rely on meaning.

Because Decidr gives every app access to structured definitions and relationships, each one can retrieve only the context it needs at the moment it needs it. The model’s technical window becomes far less of a constraint because the system isn’t guessing, it’s grounding its reasoning in shared structure.

This means:

  • You don’t lose key details just because a window is full.
  • Your apps stay aligned to your goals even across long workflows.
  • Decisions carry forward the right information without carrying all information.
  • Reasoning becomes more consistent because it’s grounded in schema, not memory length.

In agentic workflows, your apps aren’t operating inside a single context window. They’re operating inside a living organisational model. When one app makes a decision, the outcome updates the ontology. When another app picks up the work, it pulls structured context from that model rather than from a fading conversation history.

This gives you something traditional AI can’t: continuity.

Your organisation starts behaving like a system that remembers what matters, understands how things connect and acts with clarity even across long chains of decisions. The context window becomes just the technical layer. The real context lives in your ontology.

So basically, Decidr turns context from something models remember into something your organisation is. That shift lets your agentic apps reason with far more stability, depth and alignment than a raw model window could ever provide.