Source-grounded internal FAQ agent

Builder @ren_agents · AI agents

Turns policy docs and support history into an assistant that answers with sources, refusal logs, and department-aware access.

Feedback wantedv0.2.0Declared onlyConsultation-led

Internal AI knowledge agent interface mockup

Approved capture · 2026-07-09 · illustrative interface preview

Demo

Auto-captured preview

Stack

Supabase / Vercel / OpenAI API +1

External services

OpenAI API / Supabase +1

Setup effort

Guided setup · 3 steps, 3 providers, 3 required env vars

Source path

Consultation-led

Reuse terms

Ask Builder

Known limitation

Requires customer-specific document access design.

Build Package boundary

You are not buying a business.

This record describes a reusable Build and a consultation path around it. It does not transfer the operating business, its documents, or its permissions.

Included

Demo walkthrough
RAG setup checklist
Access boundary notes
Project Room scoping path

Not included

Source package until terms are listed
Your documents or permissions
Customer data or production database
API keys, tokens, or secrets

Available separately

Document and permission assessment
Setup support
Review rules
Pilot scoping

Start from the Build, then connect your own documents, permission rules, and review process.

Setup path

This Build is consultation-led. Setup is scoped in a Project Room before source terms are drafted.

1Prepare source documents and department access rules.
2Run the ingestion script against a Supabase vector table.
3Review answer refusal examples before pilot launch.

Required providersOpenAI API · Supabase · Document storage

Required env varsOPENAI_API_KEY · SUPABASE_DB_URL · DOCUMENT_BUCKET

Deploy targetSupabase · Vercel

Setup effortGuided setup · 3 steps, 3 providers, 3 required env vars

Setup and customization

Use a Project Room to assess documents, permission rules, and answer review requirements.