Internal Knowledge Base Builder

Who buys this

Ops leads at companies of twenty to two hundred people, where answers live in Slack threads nobody can find twice.

Where to start in Lovable

Paste this into Lovable as the opening prompt. It sets up one screen and one job, which is easier to grow from.

Build an internal knowledge base. Articles are written in markdown, organised by space and tag, with full-text search across titles and bodies. Add a question box: user asks in plain language, the app answers from the articles and always shows which articles it used as links. Roles: reader, editor, admin. Add a stale flag on any article not touched for ninety days.

What you will need to wire up

• Lovable AI Gateway
• Lovable Cloud (Postgres, полнотекстовый поиск)
• Авторизация по домену почты
• Stripe

Build order

1. Search before answers. Plain Postgres full-text search covers most of what people need. Build it first and see how far it gets you before adding a model on top.
2. Always cite the source article. An answer without a link is a rumour. Citations also make wrong answers cheap to fix: the editor sees which article misled the model.
3. Mark what has gone stale. Knowledge bases die from rot, not from missing features. A visible date and a stale badge do more for trust than any amount of AI.
4. Log the questions nobody could answer. The list of unanswered questions is your editorial backlog and, later, your best sales demo.

Where this usually breaks

• Permissions are the real work. The moment one space must be hidden from contractors, your simple app becomes an access control system. Decide early whether you support that or refuse it.
• Companies want import from Notion and Confluence on day one, and those exports are messy. Either budget real time for it or say no and win on being simpler.

How it makes money

• Per seat, monthly. The standard for internal tools. Readers should cost less than editors or nobody rolls it out company-wide.
• Flat team price under fifty people. Removes the argument about who counts as a user, which is what stalls small deals.

Why this idea works right now

AI has dropped the cost of building software to almost zero, but most people still think you need a team of engineers to ship a real product. You don't. The opportunity behind «internal knowledge base builder» is that the underlying tech is finally good enough, the audience already exists, and the tooling: specifically Lovable, lets a single person ship in days what used to take a startup six months.

The 4-step Lovable playbook

1. Describe the product to Lovable. Open Lovable and paste a one-paragraph spec: "Internal Knowledge Base Builder". Lovable instantly scaffolds the UI, pages, and components. No setup, no boilerplate.
2. Plug in the AI brain. Use Lovable AI Gateway to add the smart layer: text generation, image vision, transcription, classification, without touching API keys or backend code.
3. Add auth, database & payments. Enable Lovable Cloud for instant user accounts, a Postgres database, and file storage. Connect Stripe in two clicks to start collecting money.
4. Launch & monetize. Searchable wiki for small teams that need something simpler than Confluence. Build rich text editor, search index, and folder permissions. Publish to a custom domain straight from Lovable and start sharing the link the same day.

What you'll have at the end

• A live product on its own domain
• User signup, login & profiles
• Database with user data & content
• AI-powered core feature working in production
• Stripe checkout to accept first payments
• Built without writing a single line of code

The hard part was never the code. It was getting started. Lovable removes that wall: describe the product, watch it appear, ship it.

Your move

You just read the entire playbook. The only thing standing between you and a live AI product earning real money is one click. Open Lovable, paste the idea, and let it build the first version while you finish your coffee.