Pipeline is no longer
the bottleneck.
Role clarity is.
In a world where AI sources candidates in seconds, knowing exactly what you're hiring for has never mattered more.
We're the context layer between your business strategy and your next hire.
We think about recruiting the way engineers think about AI systems.
When a developer builds an AI agent, the first thing they wire up isn't the model — it's the context. What tools does it have access to? What's the system prompt? What does a good response look like? Skip that layer and the agent technically runs, but it produces garbage.
Most recruiting skips that layer entirely. We don't. We're the MCP equivalent for hiring — the protocol that establishes context before anything else runs.
More pipeline into a broken brief just produces more noise — faster.
AI changed the economics of sourcing overnight. What used to take a recruiter two weeks now takes minutes. That's genuinely useful. But it exposed a problem that was always there: most companies don't actually know what they're hiring for.
They have a job title, a copy-pasted description, and three stakeholders with three different definitions of success. More throughput into an undefined role doesn't solve that. It amplifies it.
Without context layer
Sourcing starts immediately. Candidates evaluated against criteria no one agreed on. Four interview rounds before realizing two interviewers are looking for different things.
With context layer
Role defined before sourcing. Stakeholders aligned on 90-day outcomes. Every interviewer evaluating against the same rubric. Faster decision, fewer re-opens.
What MCP is to AI agents, we are to recruiting.
MCP — Model Context Protocol — is the layer that gives AI models the structured context they need to perform. Without it, models hallucinate. With it, they're precise. Hiring works the same way.
In AI systems
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System prompt defines the model's role and constraints
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Tool definitions specify what the agent can connect to
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Context window holds the information the model reasons from
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Output schema defines what a good response looks like
In our recruiting process
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Role brief defines the hire's mandate and constraints
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Stakeholder alignment clarifies who this role connects to and how
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Business context — stage, GTM motion, team gaps — informs sourcing
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Hiring rubric defines what a strong candidate looks like
AI changed the economics of sourcing overnight. What used to take a recruiter two weeks now takes minutes. That's genuinely useful. But it exposed a problem that was always there: most companies don't actually know what they're hiring for.
They have a job title, a copy-pasted description, and three stakeholders with three different definitions of success. More throughput into an undefined role doesn't solve that. It amplifies it.