4.9 KiB
Legache Smartwatch Concept
This note sketches a possible collaboration concept between whetstone_RSA and
Legache.
The goal is not "general AI on a watch."
The goal is a bounded local knowledge interface that can interpret short voice or text requests, retrieve the right local information, and present fast, useful results with local latency.
Core Idea
If Legache already has:
- compact local document indexing
- strong metadata
- efficient retrieval
- structured organization of messy business information
then whetstone_RSA could sit on top of that as the semantic interpretation
layer.
In that architecture:
- Legache organizes and retrieves the right local knowledge
- RSA interprets the user's request into a bounded contract
- deterministic UI logic renders the response or action
What The Watch App Would Actually Be
Not:
- a chatbot
- arbitrary long-form question answering
- open-ended reasoning over a large corpus
Instead:
- a fast local query bar
- a bounded voice-command interface
- a local knowledge lookup tool
- a semantic front-end for deterministic retrieval and display
Example User Requests
- "What's our refund deadline?"
- "Who approves travel over two thousand dollars?"
- "Show the latest warehouse checklist."
- "Open the PTO policy."
- "Find the client note from yesterday."
These all have a useful bounded structure even if the phrasing is messy.
Proposed Architecture
synced local corpus + metadata
->
local retrieval / index lookup
->
RSA intent + slot interpretation
->
bounded answer contract
->
deterministic watch UI
Alternative flow:
voice input
->
speech-to-text
->
RSA gate
->
retrieval + deterministic rendering
What RSA Would Do
RSA would not try to "know everything in the documents."
RSA would help determine:
- what kind of request this is
- what data source or document family to search
- what entities or filters are being referenced
- whether the request is best handled as:
- exact lookup
- filtered search
- policy answer
- latest note/document retrieval
- escalation / low-confidence fallback
RSA could also fill a small structured contract such as:
- mode
- entity type
- search domain
- filters
- requested action
- confidence
Why A Watch Is Interesting
A smartwatch is a good fit if:
- latency matters
- privacy matters
- the requests are short
- the answer space is bounded enough
- hands-free voice interaction is useful
That makes this especially interesting for:
- field operations
- executives
- support staff
- warehouse / logistics contexts
- personal enterprise knowledge access
What Makes This Plausible
This becomes much more plausible if Legache already solves:
- document sync
- metadata extraction
- retrieval quality
- local indexing
In that case, the watch does not need to solve open-ended question answering.
It only needs to:
- interpret the request
- retrieve the right local subset
- render a bounded answer or action quickly
Good MVP Scope
Start with one narrow workflow.
Examples:
- policy lookup
- latest-note retrieval
- checklist lookup
- contact/account ownership lookup
- recent event / report lookup
The MVP should:
- use local synced data
- support short voice/text requests
- map requests into a bounded contract
- retrieve and display results locally
Bad MVP Scope
Avoid:
- arbitrary multi-document reasoning
- long-form answer generation
- freeform research assistant behavior
- "answer anything about the whole company"
Those stretch beyond the bounded local-watch value proposition.
Why This Could Be A Good Collaboration
Legache appears to already own an important part of the stack:
- organizing messy information into compact usable local structure
RSA would complement that by supplying:
- semantic intent interpretation
- bounded contract generation
- confidence / abstain behavior
- a small-model path for local interaction
That means the collaboration is not redundant.
It is potentially additive:
- Legache: local knowledge substrate
- RSA: bounded semantic interface layer
Suggested Positioning
If discussed with Legache, position this as:
A smartwatch-scale local knowledge interface built on top of Legache's indexed corpus, with RSA acting as the semantic interpretation layer for bounded voice or text requests.
This is stronger than saying:
"let me build a watch AI app."
It is more specific, more technical, and more defensible.
MVP Pitch Shape
Suggested framing:
"If Legache already has efficient local indexing and retrieval, I think there may be a strong fit for a smartwatch or wearable interface that uses bounded semantic interpretation on top of that. The goal would not be open-ended AI on a watch. It would be fast local lookup and action for short enterprise knowledge requests, using RSA-style intent and slot interpretation to drive deterministic retrieval and display."