Internal Answer Search: Find 'How Did We Fix This Last Time?' in Seconds
Turn your resolved tickets and buried Slack/email threads into a searchable, internal Q&A — so front-line agents find the proven answer instead of pinging a senior colleague, and a curator approves every entry first.
A login-protected internal search tool where you load resolved tickets and internal threads, AI drafts clean question-and-answer entries, a curator approves them into the index, agents search and get cited internal answers with a 'verified on' date, and every search and view is logged.
Before you start
- A Supabase account (free)
- A Vercel account (free)
- A Resend account (free)
- An export of resolved tickets and/or pasted internal threads (CSV, Sheet, or markdown), tagged by topic
- Claude Code or any AI coding agent
The problem this kills
Somewhere on your team, the answer already exists. A tricky refund edge case, a weird error code, the exact workaround for that one integration — somebody solved it three months ago. But the fix is buried in a closed ticket, a Slack thread that scrolled away, or worse, only in one senior person's head. So the new agent does the only thing they can: they ping that senior colleague. Again. And the senior colleague answers the same question for the fifth time, and everyone's day gets a little slower.
This is the quiet tax of tribal knowledge. The answers are real, they're proven, and they're effectively lost — searchable by nobody. New hires take longer to ramp. Your best people become human help desks instead of doing the hard work only they can do. And when someone leaves, their answers walk out the door with them. The fix isn't "write more documentation nobody updates." It's a tool that mines the answers you already produced every day, lets a person bless the good ones, and makes them findable in seconds. You do not need to be a developer to build it.
What you'll build
A simple, internal-only web tool for your support team. You load your raw material: an export of resolved tickets and/or pasted internal threads from Slack and email, tagged by topic. The tool's AI reads through them and drafts clean Q&A entries — a clear question and a canonical answer, with a link back to the source it came from. Those drafts land in a curator's review queue, where a knowledgeable person edits, approves, or rejects each one before it ever appears to agents. Approved entries go into a fast internal search: an agent types their problem in plain language and gets the proven answer back, cited to its source and stamped with a "verified on" date so stale tribal knowledge is obvious at a glance. Every search and every answer viewed is logged, so you can see what people actually need.
What's inside the Implementation Plan
The downloadable plan is a step-by-step file you paste into an AI coding agent. It opens by interviewing you about your business — how your team resolves tickets today, where answers currently hide, the exact shape and column names of your ticket export, your topic and product taxonomy, who's qualified to curate, and the messy edge cases (answers that contradict each other, fixes that go stale, customer-specific details that must be stripped out). It reads a short spec back to you for a thumbs-up, then builds the tool around your answers instead of a generic template. From there it walks the agent through the data model, loading sources, the AI Q&A extraction, the curator approval queue, the search experience with citations and freshness dates, usage logging, and the CSV export of your curated knowledge set. Every step ends with a ready-to-copy prompt.
The governance it includes (this is the point)
This is internal knowledge, and the plan treats it that way. It builds in login so only your team can reach it, row-level security so each organization only ever sees its own answers, and a complete audit trail of who curated, edited, or retired every entry. The core control is a hard human-in-the-loop gate: the AI only ever drafts entries — nothing becomes a searchable, agent-facing answer until a curator reviews and approves it. A question-fingerprint dedupe keeps the same question from cluttering the index five times over, and a "verified on" date on every entry makes aging knowledge visible so nobody trusts a year-old workaround by accident. It is built to stay strictly internal — behind login, never customer-facing.
Who it's for
Front-line support agents, team leads, and knowledge managers on teams where the real answers live in people's heads and closed tickets. If your agents keep re-asking the same questions and your senior people keep re-answering them, this is for you. If you can describe what a "good answer" looks like in your world, you can build this.
You've got this — open the plan, paste the first prompt, and you'll be searching your team's own hard-won answers this weekend.