MOSAIK
Problem MOSAIK How It Works Roadmap

03 · How it works

One objective. The right capability. A result someone can verify.

The process begins with a human objective, sends clearly defined work to the smallest capable and authorized tool, returns results through validation and human authority, and records what happened for learning and recovery.

01

Human direction

Sets value, defines the objective, accepts risk, and retains consequential authority.

02

MOSAIK core

Frames the work, compiles authorized context, applies gates, routes capability, validates, and records.

03

Replaceable capability

Tools, private models, agents, and hosted AI perform the bounded work they are eligible to handle.

04

Durable intelligence

Rules, evidence, knowledge, decisions, workflow state, and recovery remain owned and portable.

The operating discipline

BRIDGE defines the job, chooses the tools, preserves human authority, and records what happened.

Each word names a control that must remain visible as work moves from a human objective to an operational result.

BRIDGE Framework: Bounded Reasoning, Intelligent Distribution, Governance and Execution
B

Bounded Reasoning

Define the objective, permitted context, constraints, authority, and stopping conditions before asking a capability to reason. The system solves a named problem instead of wandering through an open-ended prompt.

ID

Intelligent Distribution

Select the lowest-cost eligible capability that can produce an accepted result. Privacy, risk, speed, quality, context, and verification requirements determine whether work stays local, uses a deterministic tool, calls a specialist model, or escalates to frontier intelligence. Results and corrections become evidence for the next routing decision.

G

Governance

Carry evidence, provenance, permissions, validation rules, and human decision rights with the work. Capability can analyze or propose without silently inheriting authority to approve, disclose, or act.

E

Execution

Turn an accepted result into controlled action, then record the outcome. Trace, replay, recovery, and learning close the loop so execution strengthens the organization’s durable intelligence.

Four operating principles

The map is governed by a few rules that do not move.

01

Own the durable layer

Knowledge, decisions, rules, and history remain portable instead of becoming inseparable from one AI product.

02

Make information authority visible

Source evidence, interpretation, inference, proposal, and human decision remain distinguishable, so every statement carries a visible basis and level of authority.

03

Separate capability from authority

Permission to analyze is not permission to decide, disclose, approve, or execute.

04

Design for replacement and recovery

Validation, trace, replay, manifests, and rollback reduce dependence on one model, interface, or runtime.

The management view

The process map puts BRIDGE into motion.

The process map shows how the framework and four operating principles guide work across four fixed roles.

MOSAIK operating design from intent through governed action and learning
Human authority and durable organizational intelligence remain fixed. AI models and tools remain replaceable.
Inside the governed core pathSee the detailed control sequence

The process map shows the complete lifecycle. This expanded view explains what happens inside Bound, Context, Orchestrate, and Assure. These are designed controls being built and tested, not a claim that the complete orchestration layer is operational.

  1. Human objectiveThe owner states the intended outcome.
  2. Durable task ticketThe lasting record fixes objective, scope, authority, completion conditions, budgets, state, and provenance.
  3. Task and retrieval classThe kind of work and the proof of completion are identified.
  4. Applicable context recipeThe recipe identifies which resource classes are required or eligible.
  5. Eligible resourcesThe registry describes available files, tools, models, services, state sources, and capabilities. Policy removes anything not permitted for the user, purpose, scope, or consequence.
  6. Minimum authorized contextOnly the context needed for the ticket is assembled.
  7. Selected capabilityThe router chooses the simplest qualified option. Qualification is based on testing and validation of how well each option meets the application’s requirements. A worker may only preserve or narrow its identity, information, rights, budget, and lifetime.
  8. Bounded execution grantA narrower, temporary authority is derived from the validated ticket and selected route for this run. It is not the ticket itself.
  9. Independent validationExisting state is reconciled first. Validation against the ticket, not the worker’s assertion, decides whether the result may be released.
  10. Explicit outcomeThe result is accepted, partial, abstained, or failed.
  11. Durable audit and recoveryThe decision, evidence, outcome, and recovery state remain inspectable.
MOSAIK operating design
Full-size MOSAIK operating design process map

The orchestration layer

One place to ask. The right capability for the work.

Ludwig is the intelligent orchestration layer being built for MOSAIK. Instead of expecting the user to know which model, tool, agent, context package, or privacy setting is best for every request, Ludwig will apply the rules, assemble the minimum authorized context, and route the work to the smallest eligible capability that can complete it well.

This is also a cost discipline. Straightforward work can remain local, use a deterministic tool, or call a smaller cloud model with less context. Specialist and frontier models are reserved for work whose complexity, risk, or uncertainty justifies their additional cost. The objective is not the cheapest response. It is the lowest-cost route to an accepted result.

The user keeps one coherent point of contact. Behind it, MOSAIK records which routes succeeded, what required correction, how much context and compute they consumed, and when escalation was necessary. Feedback, accepted results, and newly introduced models inform future routing decisions without requiring the user to become an expert in the changing capability market.

ObjectiveLudwigBest-fit eligible capabilityValidated result
The expensive mistake is not paying for frontier intelligence. It is paying for frontier intelligence when the task never required it.

Governed continuity

A conversation is not automatically memory.

MOSAIK is testing a controlled path from one episode to durable memory. The objective is continuity without allowing chat history, retrieval, or agent activity to become an unexamined source of truth.

Act I

Evidence becomes a candidate.

Capture and structure what happened without pretending it has already earned durable authority.

  1. 01

    Reconcile inputs

    Each ingested item resolves to an accepted, duplicate, excluded, or failed outcome instead of disappearing into a black box.

  2. 02

    Preserve the episode

    The task, evidence, route, outcome, and human boundary remain recoverable outside the original provider conversation.

  3. 03

    Stage candidates

    Potential long-term memory becomes a reviewable proposal with provenance, sensitivity, confidence, and permitted-use rules.

Nothing crosses automaticallyHuman and policy gate
Act II

A candidate earns future influence.

Review, recall, and audit determine whether memory may shape later work and preserve the basis for that influence.

  1. 04

    Review promotion

    Corrections and consequential memory changes pass through the required human approval rather than silently rewriting history.

  2. 05

    Recall by task

    Only eligible memory enters context. Relevance and recency depend on the task, and an item-level trace records what influenced the result.

  3. 06

    Audit accepted change

    An append-only record retains the action, evidence, stable agent identity, session, approval, and recovery path even when credentials or providers change.