Jobs sits alone in Greenhouse.
Judging surface screening questions also takes job postings, and that never shares a screen with Greenhouse.
Build a Surface Screening Questions Agent withGreenhouse and Ashby
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.
To pull in job listing's information including screening questions you open Greenhouse and Ashby by hand. Every hiring decision, all over again.
Now your agent can fix it.
Now your agent can fix it.
Ashby holds what Greenhouse misses.
Job postings lives in Ashby, cut off from jobs, so surface screening questions guesses at the link.
Ashby catches it quietly.
Screening questions surfaces in Ashby ahead of time, but that tab is closed during surface screening questions.
Under The Hood
No exports. Surface screening questions reads Greenhouse and Ashby in a single pass. Already connected.
01
Fetch pull in job listing's information including screening questions from Greenhouse (applicant tracker)
Jobs
02
Pull job postings from Ashby (applicant tracker)
job postings
03
output
Agent-ready output
Pull in job listing's information including screening questions, returned as one digest surface screening questions ranks for you.
The Context Store
Ashby and Greenhouse arrive matched on the candidate, ready to pull in job listing's information including screening questions.
To pull in job listing's information including screening questions, the Context Store pre-joins jobs, job postings, screening questions across Ashby and Greenhouse 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.
SHARED KEY2 SOURCESONE VIEWLIVE READS
The Prompt
Copy. Paste.
a Surface Screening Questions Agent
Two steps. Your data, your results, under 60 seconds.
01install
Connect the Airbyte Agent MCP02copy and run
Build me a surface screening questions: read Greenhouse and Ashby and hand back one digest.
SETUP
You have the Airbyte MCP layer, wiring up 2+ tools you can query in plain language.
WORKFLOW
check connectors, connect Greenhouse and Ashby, query jobs, job postings, screening questions, reconcile per candidate, summarize. Missing tools tell you how to link them. A one-off connect step.
TASK
Pull in job listing's information including screening questions. Return one digest ranked by urgency, top risks called out, a next step on each.The Outcome
Pull in job listing's information including screening questions on demand: 2 hours of effort, ~60 seconds of agent.
10x
Faster
10x speed: surface screening questions turns a 2-hour hiring decision into under a minute.
90%
Cheaper to run
90% less spend: no glue code; it runs on your existing 2-tool stack to pull in job listing's information including screening questions.
2 -> 1
Tools, one query
2 sources, 1 prompt: Greenhouse and Ashby reconciled before surface screening questions runs.
Based on internal benchmarks comparing Context Store queries to sequential API calls across equivalent datasets.
01 · Output
Risk-scored output
A 1-10 score on each candidate means the urgent jobs rises to the top of surface screening questions on its own.
02 · Signal
Mismatch alerts
Greenhouse vs Ashby mismatches on pull in job listing's information including screening questions get called out so you decide, not the math.
03 · Context
Context overlay
Each line carries its evidence. Pull in job listing's information including screening questions pulled from Ashby. Right where you read it.
04 · Action
Tells you what to do
Surface screening questions closes each candidate with a recommendation. Who to contact and what to send. Ready to run.
05 · Brief
Built to pull in job listing's information including screening questions
Hand the digest straight to the hiring decision. Every figure traces back to Greenhouse and Ashby.
Other recruiting agents on the same connectors
view All use casesTalent pool visibility
Your hiring decision is only as fresh as the slowest tab. Recruiting teams see full talent pool; dedupe candidates. Yet the inputs sit split across Gmail / Salesforce / Greenhouse.
Train AI models with ATS data
Recruiting teams run hiring decisions on stale, scattered data: Greenhouse + Ashby each hold a piece, none hold the whole. Predictive hiring models; improve screening accuracy.
Candidate matchmaking
Recruiting teams run hiring decisions on stale, scattered data: Ashby / Greenhouse each hold a piece, none hold the whole. AI recruiting tools match candidates to best-fit roles.
Common questions
Didn't find your answer? Please don't hesitate to reach out.
Can I tweak what Surface screening questions returns?
Edit the TASK line. Change the ranking, the digest format, or which of Greenhouse and Ashby it leans on.
How long until Surface screening questions is live?
Minutes. Each connector is a one-off connect step, then surface screening questions runs on demand or on a schedule.
Which clients run surface screening questions?
any MCP client. Claude, Cursor, and the rest. Each points at the same Greenhouse and Ashby connectors surface screening questions uses.
How fresh is the candidate data Surface screening questions uses?
Live, it reads Greenhouse at query time, so the digest shows jobs as of now, not last night.
Your recruiting data already lives in Ashby and Greenhouse. Let surface screening questions use it.
Connect Greenhouse and Ashby (plus 47+ more) and ship surface screening questions today to pull in job listing's information including screening questions.
