Most HOA pain is not "we need a chatbot." It is a broken loop: intake → work item → routing → execution → status → reporting. Residents send email. Nobody turns it into a ticket. Vendors get called late. Boards hear complaints with no paper trail. HOA Bot is built to close that loop for one community at a time — with documents the AI can search, roles that match how you actually work, and a path from first question to tracked outcome.

This guide walks you from zero to live in about one afternoon. You will clone the app, wire Supabase, load governing docs into xAI Collections, set roles and vendor routing, then run a real resident-style query end to end.

The Problem

Your CC&Rs and rules already answer half of resident questions. The other half need a person, a vendor, or a board decision. The failure mode is almost never "we lack information." It is that nothing connects the ask to the work.

HOA Bot does not replace your manager or your board. It gives residents a single front door for answers and requests, keeps each HOA in its own tenant, and lines up with tickets and routing so you are not rebuilding the loop in email every day.

What You'll Build

By the end of the day you will have:

• A Next.js 14 app (React, Tailwind, shadcn/ui) talking to Supabase for Postgres, auth, and file storage.
• xAI Collections for semantic search over your PDFs and policies, with Grok powering chat on top of retrieved context.
• One storage bucket per HOA — files land under hoa-{hoaId}/docs/{collectionId}/{filename} so tenants stay isolated.
• Roles for property managers, board members, and residents, with collections and permissions that match who may see what.
• API flows you can exercise in order: create the HOA, create collections, upload documents, search, then chat.

The mental model: document-backed answers at the top of the funnel, tickets and routing for everything that is not a doc question.

Step 1: Clone the Repo and Set Up Supabase

Install pnpm if you do not have it. Clone the HOA Bot repo and install dependencies:

git clone https://github.com/cloudbeastio/v0-hoa-bot.git
cd v0-hoa-bot
pnpm install

Create a Supabase project. In the Supabase dashboard, note your project URL and anon key. Add them to .env.local:

NEXT_PUBLIC_SUPABASE_URL=your_project_url
NEXT_PUBLIC_SUPABASE_ANON_KEY=your_anon_key
XAI_MANAGEMENT_KEY=your_xai_management_key

The management key is for xAI Collections and Grok — keep it server-side only; never expose it in client bundles.

Run the app locally with pnpm dev. Confirm you can load the UI. Then apply any SQL migrations from the repo so core tables exist: HOAs, Properties (units), Collections (xAI metadata plus allowed_roles), Documents (with xAI file IDs), Users (with hoa_id and property_id), and Tickets.

Every API route should call something like validateTenantAccess() so a user from HOA A never reads HOA B’s data. If you add custom routes, keep that pattern — tenant isolation is not optional.

Step 2: Upload Your Governing Documents

Create the HOA record first — POST /api/hoas — so you have an hoaId. Then create a Collection with POST /api/collections. Collections store xAI-side metadata and which roles may query them.

Upload files with POST /api/documents/upload. The app stores the file in the right bucket path and registers Documents rows with xAI file IDs.

Formats that work best: text-based PDFs (exported from Word or natively generated PDFs), not scanned photos of pages unless you run OCR first. One topic per file beats one giant "everything.pdf" — e.g. ccrs.pdf, rules-and-guidelines.pdf, architectural-guidelines.pdf, pool-hours.pdf. Smaller, labeled files retrieve more precisely and reduce wrong merges in search.

Use POST /api/documents/search to sanity-check retrieval before you expose chat to residents. If search returns the wrong chunk, fix the file split or the collection scope before you blame the model.

Step 3: Configure Roles and Vendor Routing

In the data model, Collections carry allowed_roles — tie each collection to property managers, board, residents, or a subset. Property managers might see vendor contracts and internal runbooks; residents might see only CC&Rs, rules, and amenity policies. Users rows link people to hoa_id and optionally property_id so unit-level questions stay scoped.

Set up vendor routing rules in the product’s ticket or workflow layer (however the repo exposes it): e.g. landscaping → Vendor A, plumbing → Vendor B, repeated noise complaints → board review queue. The point is not fancy AI — it is that when chat cannot answer from documents, the system creates a Ticket with a category and owner instead of dropping the thread.

Board vs resident access is not just politeness. It keeps sensitive financial or legal drafts out of resident-facing collections. Configure collections before you invite the neighborhood.

Step 4: Test the Engagement Loop

Walk through one full path:

1. Resident question answerable from docs — e.g. fence height. Use POST /api/chat and confirm the reply cites the right policy (or the UI shows source snippets if implemented).
2. Question that needs a human — e.g. water intrusion in a unit. Confirm a Ticket is created with the right category and that your routing rule points to the correct queue or vendor.
3. Status and reporting — open the ticket as staff, add a note or status, and verify the record is visible to whoever should see it (manager vs board vs resident portal, per your build).

If step 1 fails, fix documents and collections first. If step 2 fails, fix routing and ticket defaults. If step 3 fails, you still have a fancy FAQ — not a closed loop.

Common Mistakes

Wrong tenant, wrong bucket. Double-check hoaId on every upload and query. Cross-tenant leaks are a security incident, not a UX bug.

One mega-PDF. You will get vague answers and blame the AI. Split and label files.

Skipping search tests. If /api/documents/search is weak, chat will be weak. Grok does not invent better retrieval; it reads what Collections return.

Over-open roles. Residents do not need access to draft board minutes or legal correspondence. Narrow allowed_roles per collection.

Ignoring bad answers. When the model is wrong, add the missing text to the corpus, tighten the collection scope, or route the topic to a ticket with a template reply. Do not "prompt harder" as the first fix.

What's Next

Tighten the loop in the real world: publish how residents should use the bot, tie ticket SLAs to your management contract, and review a weekly report of deflected questions vs new tickets. Add more collections as you onboard new policies or amenities.

You now have a copy-paste path: Supabase plus env vars, structured uploads, role-aware collections, routing into tickets, and a test script that proves intake → work → visibility. That is the afternoon. Keeping the loop honest is the weeks after.

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