Adaptive Routing
The capabilities used for a task can change with the work it requires.
TechnologymediaStrauß / Technology overview ↑
KINNO Intelligence
Intelligence built for continuity.
KINNO Intelligence is the adaptive intelligence layer behind KINNO.
It combines context, models, tools, sources and verification so KINNO can do more than return a single model response.
When deeper work is needed, KINNO Intelligence can support research, analysis, comparisons, document understanding and more complex planning.
The model is only one part of the system.
Technology / How it works
Adaptive Intelligence
Different tasks need different levels of intelligence.
KINNO Intelligence can select the capabilities needed for the task and combine them with the context that already exists inside KINNO.
Research
Deeper questions can draw on additional information beyond the conversation.
Reasoning
Analysis works with the available context and the constraints of the task.
Tool Orchestration
Tools provide capabilities that a model response alone cannot supply.
Multi-Source Retrieval
Relevant information can come from different sources, with its origin kept in view.
Verification
Results need to be checked against the evidence that supports them.
Structured Results
The form of a result should fit the work it needs to support.
The goal is simple: use the right level of intelligence for the work that needs to be done.
Technology / Principles
Persistent Context Infrastructure
KINNO is designed around continuity.
Its Persistent Context Infrastructure can maintain structured, permission-aware context across conversations, time, events and actions.
Context is not just stored. It must stay relevant, attributable and usable under the permissions that apply at that moment.
Persistent Context
Structured Life State gives relevant information a place beyond a single conversation.
Temporal State
What happened before and what is true now are different parts of the context.
Cross-Session Continuity
Useful context can carry across conversations without treating every session as a fresh start.
Rights-Aware Retrieval
The permissions that apply now determine which context may be used.
Context Admission
Information needs a reason to become part of the context used for a task.
Provenance
The origin of information matters when deciding how to use it.
Adaptive Retrieval
Relevant context is selected for the work at hand.
Context Invalidation
Context must be able to change when information is no longer valid.
Technology / How it works
Context changes intelligence
A useful answer depends on more than the latest question.
It can depend on what happened before, what is true now, which information is still valid, what the user has allowed KINNO to use and which sources support the result.
KINNO Intelligence works with that changing context instead of treating memory as one large transcript.
Technology / How it works
From intelligence to real actions
Understanding something and changing something are different problems.
KINNO separates reasoning from actions that create real effects.
This allows KINNO to distinguish between an intention and an action that actually happened.
Identity & Permissions
An action needs a known actor and the authority to create its intended effect.
Deterministic Actions
Reasoning can propose an action. Explicit controls govern its execution.
Receipts
An intention and a confirmed effect need different records.
Current-State Resolution
The current product state matters before a change is made.
Entitlements & Lifecycle
Access and product state remain part of the surrounding system.
Technology / How it works
Adaptive Results
Not every problem should end in a long block of text.
KINNO Intelligence can return structured results inside the same product experience.
Facts and sources can sit alongside comparisons or documents. Timelines, tasks, actions and notices can support work that needs a different form.
The interface can adapt to the work without turning KINNO into a collection of separate tools.
Application / Real product
Built into KINNO
KINNO Intelligence is not a foundation model.
It is the intelligence infrastructure that lets models, tools, context and product state work together inside a persistent product.
The first place we use it is KINNO.
A simple experience on the surface. A much deeper system underneath.
KINNO
A person that stays.
Technology / Continue exploring
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