Workerbee documentation

What can I build with Workerbee?

You can build workforce answers into chat, agents, and your own product, all grounded in one company-specific view of your people and roles.

• Answer workforce questions across your organization, in chat or in your own product.
• Ground your agents, workflows, and product in your workforce data — no model training.
• Compare people and roles against one standard, with the evidence attached.

What products and services can be built on Workerbee?

Any product that has to reason about people, roles, and skills can use Workerbee as its platform instead of building its own graph. For example:

• ATS and recruiting software
  Rank every applicant against a role’s Success Profile and show the evidence behind each rank.
  Evidence-backed ranking
• HRIS and talent marketplaces
  Suggest internal moves, successors, and backfills from what people have actually demonstrated.
  Internal mobility
• Performance management
  Tie reviews, goals, and calibration to the capabilities each person has demonstrated, so ratings and development plans rest on evidence.
  Evidence-based reviews
• Learning and development platforms
  Recommend training for each person’s real capability gaps, not a generic catalog.
  Gap-driven learning
• Workforce planning and people analytics
  Measure skill coverage and gaps across departments and roles, and model where to hire or reskill.
  Skill coverage at org scale
• Sales and revenue tools
  Join performance data to each rep’s evidence to show what separates the reps who hit their number.
  What drives quota
• HR copilots and agents
  Give an assistant in Slack, Teams, or your own app grounded, logged answers to workforce questions.
  Grounded answers
• Staffing firms and consultancies
  Match people to engagements and run workforce assessments for clients on one standard.
  One standard for every client

See Examples for the questions each kind of team asks.

Why use Workerbee instead of a prompt or a vector store?

Because a prompt holds ten people and a vector store returns passages, while Workerbee applies one versioned standard to your whole workforce and shows its evidence — so it answers workforce questions you cannot ask today.

• Works at org scale. A prompt holds ten people. The Graph holds your whole workforce.
• Grounded, not retrieved. A vector store returns passages. Workerbee applies one versioned standard to every person, every role, and every question — and shows its evidence.
• Everything is logged. Every ranking, weight, and API call, so decisions stay explainable months later.
• One framework, every decision. Hiring, internal mobility, skills gaps, and workforce strategy all run on it.
• Buy it, don't build it. Deep HR context for the whole organization, at a cost that works.

What is a talent graph?

A talent graph is a structured map of occupations, skills, and the relationships between them, onto which Workerbee places every person and role in your organization so they can be compared on one standard. See Key terms for the vocabulary and Architecture for how data flows through it.

How do I connect Workerbee to an LLM?

Add Workerbee to Claude, ChatGPT, or Gemini with an LLM connector, or point Claude Code, Cursor, or any other MCP client at the Workerbee MCP server.

Last updated October 2, 2026