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Sillage

B2B platform · AI agents
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Context

From February to May 2026, I joined Sillage (a B2B sales-signals platform powered by AI agents) for a 3-month mission as a software engineer, in a 3-person engineering team. I architected a multi-provider deep-research pipeline with Claude as the fit-scoring layer (a full signals schema plus a Strapi data model), and designed an automated bug-fixing pipeline connecting Claude Code agents to Notion, GitHub, Linear and Slack to generate AI-reviewed pull requests.

Problem

Detecting the right buying signals and prioritizing the accounts to target, by hand, didn't scale.

Solution

A multi-provider deep-research pipeline with Claude for fit scoring, and an automated bug-fixing pipeline (Claude Code agents × Notion, GitHub, Linear, Slack).

Result

Continuously qualified accounts and AI-reviewed pull requests, shipped faster.

In pictures

Sillage - B2B platform · AI agents
Tools used
Claude APIn8nStrapi v5Next.jsTypeScriptPostgreSQLSoftware engineeringAI agents

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