Professional work · AI systems · 2025 — Present
500 Acres AI Support System
A modular support platform that turns company knowledge into maintainable, searchable assistance for internal teams and public users.
Why it exists
Scout began as one of several GPT-based support assistants and grew into a broader platform for configuring assistants, maintaining source material, reviewing gaps, and routing questions to human owners.
- Role
- Design + engineering
- Timeline
- 2025 — Present
- Stack
- Next.js · React · Vector database retrieval · Google Apps Script · Vercel
The problem
Important policies, procedures, and operational answers lived across many documents and team-owned workflows. Keeping assistants accurate required a way for non-technical owners to contribute knowledge and resolve unanswered questions without waiting for code changes.
My ownership
- Rebuilt Scout into a modular platform and designed its private administrative experience.
- Structured dozens of policies, procedures, and foundation documents for document search and retrieval.
- Designed review, escalation, intake, weekly update, reporting, and cross-team routing workflows.
- Presented the system and its workflows to company leadership.
Technical decisions
- Separated assistant configuration from the user-facing conversation so multiple assistants could share a maintainable platform.
- Used vector retrieval to ground answers in approved source material instead of relying on model memory alone.
- Made unresolved questions visible to human owners, turning misses into a structured maintenance queue.
Results
- Supported approximately 600 logged questions across internal and public-facing workflows.
- Enabled non-technical users to maintain knowledge sources and assistant behavior without direct code changes.
- Created a reusable foundation for multiple assistants rather than a collection of one-off chat experiences.