Legible Connect bridges the gap between generic AI and company-specific knowledge. These examples show how different teams use it day to day.
Content Teams: On-Brand AI Writing
When your AI agent has access to your published content, brand guidelines, and messaging pillars, it writes copy that sounds like your company — not like a generic chatbot. Marketing teams use Connect to generate drafts, repurpose content across channels, and maintain voice consistency without manual context-loading.
Engineering Teams: Documentation-Aware Coding
Developers working with Claude Code or Codex can ask questions about internal APIs, architecture decisions, and coding standards. The agent retrieves relevant documentation from Legible instead of guessing or hallucinating. This is especially useful for onboarding new team members or working across unfamiliar parts of the codebase.
Support Teams: Accurate Customer Responses
When your support AI has access to your full knowledge base — help articles, FAQs, product documentation — it gives accurate, citable answers instead of vague suggestions. Connect feeds the same content layer that powers Content Chat into any MCP-compatible agent.
Leadership: Strategic Research with Company Context
Executives and strategists can ask AI to analyze market positioning, compare product features, or draft investor updates — all grounded in real company data rather than generic internet knowledge.