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AI workflow prototype

Nava

Public-safe note on knowledge interfaces, source boundaries, and human-accountable AI support.

What this is

Clarifying the task, allowed source layer, user responsibility, answer boundary, and handoff before the interface suggests intelligence.

Why it matters

AI workflow interfaces can easily overpromise if they do not specify the task, source boundary, user responsibility, refusal behavior, and handoff back to human judgment.

What Navid explored

Navid uses Nava as a public reference for product critique, workflow decomposition, source-routing discipline, and bounded interaction design. The site does not expose implementation or operating context.

What it proves

Shows product judgment around interaction boundaries, source limits, and how AI support should stay grounded in real tasks.

What it does not prove

Prototype reference. The public site describes the shape of the judgment, not non-public implementation or operating context. Only high-level framing is included. Implementation details and non-public operating context stay out of the site.

Direction

For AI workflow discussions, describe the current process before naming the AI feature.

Methods

What this work exercises.

  • knowledge interfaces
  • source boundaries
  • human accountability
  • interaction boundaries

Proof

Public artifacts.

Public boundary notepublicThe connected field notes describe workflow-first AI and boundaries before autonomy without exposing implementation detail.

Patterns

Workflow Before ModelStart with the repeated work, owner, handoff, failure path, and decision before choosing model behavior.Approval Gate Before ActionRequire explicit review before a system changes state, escalates, or takes a consequential action.Prototype Stays PrototypeKeep proof records, product studies, evaluation labs, and paused directions labeled honestly until the next proof gate is earned.

Related notes

NoteWorkflow-first AIStart with the work people already do, then decide whether AI belongs there.NoteBoundaries before autonomyAutonomy without boundaries is just unclear delegation.NoteWhen a prototype should stay a prototypeA prototype is useful when it clarifies what still has not been proven.

Referenced by

notesWorkflow-first AIRelated notenotesBoundaries before autonomyRelated notenotesWhen a prototype should stay a prototypeRelated notepatternsWorkflow Before ModelPattern where this work appearspatternsPrototype Stays PrototypePattern where this work appearstopicsWorkflowTopic connected to this worktopicsBoundariesTopic connected to this worktopicsDecision SupportTopic connected to this worktopicsPrototype BoundariesTopic connected to this work

Next step

For AI workflow discussions, describe the current process before naming the AI feature.

Contact

Send the working context.

Send the business pressure, workflow, source boundary, or proof question. Best fit: hiring, AI roadmap, product-system work, and collaboration where evidence matters before claims.

Navid