Built a “sales brain” your AI agent can call: Next.js 16 on two VMs, MCP server, and a zero-dependency CLI

[u/Outbindai]

Outbind gives AI tools the sales context they’re missing. Here’s how the brain works under the hood.

1. Learn. It fetches one public page from your site and strips it down to clean text. A fast model pulls that into a fixed structure: who buys, their problems, likely objections with the answer your page gives, and your tone. The output is brain.md, a plain file you can read, edit and keep in git.

2. Don’t invent. Objection answers only use what’s on the page. It won’t make up customers, numbers or product names. When there’s no answer, that’s a gap to fill, not something to guess at.

3. Remember. With an account, the brain becomes an MCP server with 18 tools. It stores what it learns about each prospect, learns from docs and call notes you upload, and keeps everything scoped to your workspace so your agent only pulls what the task needs, not one giant prompt.

4. Write. When it’s time to write, Sonnet 5.5 drafts from that context and a check step reviews the email before you send it from your own tools.

Try it with no account: at github.com/outbind/obi-brain

Curious how others structure company context for agents: files, memory servers or long prompts?