Quicklify KB API
A static-first knowledge access layer for GPTs, assistants, and governed workflows.
Quicklify KB API is the planned knowledge access layer for GPTs, assistants, and governed workflows that need stronger context than a single prompt, flat upload, or one-off document can provide.
It is a stub contract today, not a live runtime service promise.
Purpose
The goal is to let approved assistants retrieve richer knowledge while preserving the Quicklify standard: static-first, Git-controlled, reviewable, and operator-owned.
A GPT should be able to ask for the right slice of knowledge without forcing the whole system into a database, dashboard, or background worker.
Static-First Shape
The intended pattern is simple:
- canonical KB source files stay in the repo
- review and approval happen before publication
- static JSON artifacts expose approved knowledge
- GPTs and assistants consume those artifacts through documented calls
- production output remains traceable to governed source files
This gives assistants better recall and better boundaries at the same time.
What GPTs Will Use It For
A Quicklify KB API layer may support:
- route or place intelligence
- site and product knowledge
- approved workflow instructions
- public KB summaries
- commerce or offer posture without exposing raw provider data
- operator-safe handoffs and planning context
The API layer should help GPTs retrieve context. It should not let them silently approve, publish, mutate, or replace the operator.
Governance Boundaries
The KB API is not a SaaS dashboard, live CMS, or hidden automation layer.
It should not introduce a database, authentication system, background worker, or runtime content mutation unless a future production requirement clearly earns that complexity.
Current Status
This page is the public stub for the future contract.
The near-term direction is to publish static, versioned KB artifacts that GPT Actions and custom assistants can call in a controlled way.
Future Contract
A later version may define endpoint-like static paths, response shapes, versioning rules, assistant disclosure language, and acceptance checks.
The standard will stay the same: richer AI calls, calmer infrastructure, visible governance.
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