T.11 / Technology
AI
larch builds AI features on Google’s Gemini models. Scout’s sales agent uses the Gemini API to score leads against the ideal customer profile, draft personalized outreach and pull facts out of web pages.
Bring the idea. We’ll tell you how we’d build it and what it takes.
01 / Built with Gemini API
Scout’s agent does the reading and writing a salesperson would do, and the Gemini API is the model behind it.
AI agent / 2025
01
Scout calls the Gemini API wherever the work needs judgement: scoring each lead from 1 to 5, drafting outreach from the user’s knowledge base, pulling contacts out of web pages and summarizing documents.
AI agent / B2B sales / 2025
Next.js · TypeScript · Playwright · SQLite
02 / Related service
Useful intelligence, wired into the tools your team already works in.
What you get
Scout’s agent runs 10+ cycles on Gemini to reach a lead target.
Scout chains Gemini calls with web search and page scraping in one pipeline.
Gemini reads the pages Playwright opens and pulls out names, roles and companies.
03 / How we use Gemini API
Most of Scout’s pipeline is plain code. Gemini handles the parts that need judgement: is this company a fit, who should we write to, and what should the email say.
Scout’s agent works through a pipeline: discover companies, enrich contacts, qualify, expand and draft. Most of the steps are plain code. The Gemini API comes in where the work needs judgement.
Qualification is the first. Every lead gets a score from 1 to 5 against the user’s ideal customer profile, on industry, company stage, team size, budget, tech stack and founder type, and the model explains its reasoning.
Drafting is the second. Outreach emails are written from the user’s knowledge base of case studies, pricing documents and company profiles, so each draft speaks to that company rather than to everyone.
Reading is the third. When Playwright opens a company’s website, Gemini reads the page and pulls out the people, roles and details the next step needs. It also summarizes the documents in the knowledge base, so the drafts can draw on them.
Scout calls the Gemini REST API directly, with no SDK in between. The default model is Gemini Flash, and in Settings the user can pick another Gemini model, from the lighter Flash-Lite to Pro, to trade speed for depth. Because the integration is this thin, a new model is a setting, not a rewrite.
Scout first reached its models through a gateway that hid the provider. In July 2026 it moved to the Gemini API directly. The pipeline stayed the same; only the calls behind it changed.
04 / Other technologies
Scout’s agent runs on Gemini, and our MCP servers bring tools into AI assistants. See what else we built with them.
T.07 / AI
The agent that runs Scout’s whole B2B sales pipeline, and Bridddge’s AI automation.
Built with it
T.06 / AI
seo-mcp brings SEO audits into AI editors, and Bridddge ships with its own MCP server.
Built with it
11 technologies
Eleven technologies, each one running in a product we shipped.
Start / 30-minute call
No corporate theater. Just results.
Prefer email?
nicholas@larch.ee