Greenhouse only knows its half.
Greenhouse tracks applications, but can't see interviews. So what you read there is already partial.
Build a Candidate Journey For Candidates Agent withGreenhouse, Gmail, and Ashby
Right now the hiring decision means stitching Greenhouse / Gmail / Ashby by hand. Candidate experience portals show application status, so the work lands late and half-blind.
Greenhouse says one thing about applications, Gmail says another.
The hiring decision eats the gap.
The hiring decision eats the gap.
Gmail holds what Greenhouse misses.
Interviews lives in Gmail, cut off from applications, so candidate journey for candidates guesses at the link.
Ashby is the early-warning nobody reads.
By the time stages in Ashby reaches the hiring decision, the window to act has usually shut.
Under The Hood
One prompt to show candidate journeys (interview stages) in your application. Three sources, already connected. Already connected.
01
Check show candidate journeys (interview stages) in your application from Greenhouse (applicant tracker)
Applications
02
Fetch interviews from Gmail (comms layer)
interviews
03
Check stages from Ashby (applicant tracker)
stages
output
Agent-ready output
One digest: Show candidate journeys (interview stages) in your application. Ranked by priority, top risks flagged, a next step on each.
The Context Store
To show candidate journeys (interview stages) in your application, the agent reads one joined view. Not 4 raw APIs.
To show candidate journeys (interview stages) in your application, the Context Store pre-joins applications, interviews, stages, feedback across Greenhouse / Gmail / Ashby and 1 more on the candidate key. One query, one truth.
Your agent queries one surface instead of three APIs. Faster responses, lower cost per query, and results that work because the relationships were built before you asked the question.
PRE-JOINED CANDIDATEUNIFIED SCHEMAONE API SURFACE
The Prompt
Copy. Paste.
a Candidate Journey For Candidates Agent
Two steps. Your data, your results, under 60 seconds.
01install
Connect the Airbyte Agent MCP02copy and run
Run my hiring decision: pull applications, interviews, stages, feedback from Greenhouse, Gmail, and Ashby and summarize.
SETUP
You have Airbyte's Agent MCP, wiring up 4+ tools you can query in plain language.
WORKFLOW
list connectors -> link Greenhouse, Gmail, and Ashby -> pull applications, interviews, stages, feedback -> join on the candidate key -> analyze. An unlinked tool returns a self-describing prompt; a one-time browser auth and retry.
TASK
Show candidate journeys (interview stages) in your application and surface the digest: highest-risk candidates first, each with a recommended next step.The Outcome
The hiring decision that needed 2 hours now finishes while you read this. Now your agent can fix it.
10x
Faster
10x faster. Candidate journey for candidates does in seconds what ate 2 hours of show candidate journeys (interview stages) in your application.
90%
Cheaper to run
90% off the build cost: 4 sources already licensed, nothing extra to show candidate journeys (interview stages) in your application.
3 -> 1
Tools, one query
3 sources, 1 prompt: Greenhouse, Gmail, and Ashby reconciled before candidate journey for candidates runs.
Based on internal benchmarks comparing Context Store queries to sequential API calls across equivalent datasets.
01 · Output
Ranked, not dumped
Every candidate scored 1-10, so candidate journey for candidates surfaces what needs you first instead of an alphabetized list.
02 · Signal
Reality-check flags
Greenhouse vs Gmail mismatches on show candidate journeys (interview stages) in your application get called out so you decide, not the math.
03 · Context
The why, attached
The hiring decision shows the supporting applications inline, sourced from Gmail and Ashby, no digging required.
04 · Action
Next action per item
Candidate journey for candidates closes each candidate with a recommendation. The owner and the move. Ready to run.
05 · Brief
Paste-ready output
The digest arrives meeting-ready: applications first, sources attached, Greenhouse, Gmail, and Ashby reconciled.
After Candidate journey for candidates: more recruiting agents to build
view All use casesSurface screening questions
Your hiring decision is only as fresh as the slowest tab. Job boards display complete job details. Yet the inputs sit split across Ashby and Greenhouse.
Candidate journey for recruiters
Your hiring decision is only as fresh as the slowest tab. Recruiting analytics; identify pipeline bottlenecks. Yet the inputs sit split across Salesforce / Greenhouse / HubSpot.
Surface open jobs
The data for your hiring decision already exists in Ashby + Greenhouse. The problem is no one view joins it. Job boards aggregate open positions.
Common questions
Didn't find your answer? Please don't hesitate to reach out.
How do I build a candidate journey for candidates agent with Greenhouse, Gmail, and Ashby?
Link Greenhouse, Gmail, and Ashby in Airbyte's Agent MCP, paste the prompt above, and candidate journey for candidates reads all 4 sources at once to show candidate journeys (interview stages) in your application.
Is applications stored anywhere by Candidate journey for candidates?
No, candidate journey for candidates reads applications, interviews, stages, feedback live through the connectors and returns the digest; nothing persists outside Greenhouse, Gmail, and Ashby.
How long until Candidate journey for candidates is live?
Minutes. Each connector is a one-time browser auth, then candidate journey for candidates runs on demand or on a schedule.
Does Candidate journey for candidates replace Greenhouse?
No, it reads Greenhouse and writes back the digest. Your record systems stay put.
Candidate journey for candidates is one prompt away from Greenhouse / Gmail / Ashby.
Wire Greenhouse, Gmail, and Ashby and 49+ sources into the Agent MCP and build candidate journey for candidates on data you already own.
