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Design Vision — March 2026
The recruiter's time is spent on judgment and relationships.
Everything else is agent-driven.
Phone screens, relationship building, match approval, coaching founders on how to close. The moments that require reading a room.
Enrichment, scheduling, distribution, follow-ups, pipeline tracking. Everything that's coordination, memory, or pattern matching.
Every candidate proceeds by default. The recruiter can only remove — never silently skip — and must give a reason why.
Every opt-out reason, every founder pass, every hire outcome feeds back into the matching and sourcing agents.
6:00 AM
The recruiter opens their dashboard with coffee. No inbox triage, no spreadsheet wrangling. Everything is already organized.
30 new enriched candidates are ready for calendar scheduling based on calendar availability over next two weeks.
12 phone screens are on the calendar with detailed briefings and areas to dig into.
3 founders updated their hiring needs since yesterday along with a summary.
Intake Agent Enriched new typeform submissions with GitHub, LinkedIn, and other online signals
Pipeline Intelligence Assembled the morning brief with priority rankings
Founder Intake Agent Collected updated role specs from founders
6:30 AM
Every candidate proceeds by default. The recruiter scrolls the enriched queue and can only do one thing: opt someone out with a reason.
Today, 29 of 30 proceed. One is opted out: "Location mismatch — no active roles support full remote in APAC timezone."
That reason gets logged. The sourcing agents learn.
Intake Agent Enriched new typeform submissions with GitHub, LinkedIn, and other online signals
Screen Prep Agent Pre-matched candidates to open roles so the recruiter sees fit context alongside each profile
8:00 AM — 4:00 PM
The irreducible human moment. The recruiter assesses what software can't: magnetism, hunger, clarity under pressure, how someone talks about what they've built.
They walk into each call already knowing the candidate's background, best-fit startups, and exactly what to probe.
After each screen, the agent creates a structured note based on the transcript and the recruiter's notes. These feed directly into the matching agent.
Screen Prep Agent Built a brief for each candidate: background, signals, potential matches, and suggested questions
Scheduling Agent Sent candidates booking links and confirmed 4 screens back-to-back
8:00 AM — 4:00 PM
After screens, the matching agent has already generated ranked startup matches for each candidate. The recruiter reviews, approves, or rejects.
Nothing moves to a founder without the recruiter's sign-off. But the recruiter is reviewing proposals, not building them from scratch.
This is the second taste gate — the recruiter's judgment about interpersonal fit, stage-readiness, and which founder will actually close this person.
Matching Agent Combined screen notes + enriched profile + live founder role data to generate ranked matches
8:00 AM — 4:00 PM
Now the agent takes over completely — sending tailored candidate briefs to each matched founder and a candidate summary to the wider distribution list.
Ranked founders gets a brief that explains why this specific candidate was matched to them, not just a generic resume blast.
The recruiter is already on to the next screen or relationship call.
Matching Agent Matched candidates to companies and created a personalized brief for each founder
Distribution Agent Sends briefs, tracks opens and interest signals from founders
Introduction Agent When a founder requests an intro, faciliates the introduction, asking for recruiter feedback where necessary, and tracks the outcome
3:00 PM
Coffee with a senior engineer who's not looking yet. The recruiter has been nurturing this relationship for months. Today's conversation isn't about a specific role — it's about trust.
This is the time that agents create. When logistics, enrichment, distribution, and scheduling are handled, the recruiter gets hours back for the human work that actually compounds.
The bench of people who trust the recruiter and will pick up the phone when the right startup appears — that's the real asset.
By handling distribution, scheduling, and pipeline tracking, agents gave the recruiter 2+ hours back today for pure relationship work
Continuous
Every human decision feeds back into the system. The matching model gets smarter from four signal sources:
Recruiter opt-outs teach sourcing agents what not to target. Screen impressions refine matching. Founder passes recalibrate fit scoring. Hire outcomes close the loop entirely.
Each cohort makes the next cohort's matching better. The institution compounds — not just the individual recruiter.
Follow-up Agent Captures outcomes from both sides post-intro
Pipeline Intelligence Surfaces patterns: "Founders in AI infra are 3x more likely to hire candidates with open-source projects"
A talent scout backed by a machine intelligence layer.
(NOT: "recruiter + AI tools.")
"The real gains do not come from making individuals slightly more productive — they come from redesigning the institution around coordination, signal extraction, and process enablement."