Screen 200 resumes against the rubric, surface the 10 worth interviewing.
ChatGPT reads each resume, scores it against your rubric, summarizes the candidate's fit in three lines, and ranks the shortlist for your recruiter — with reasoning per score.
47 screened · 5 shortlisted. Top pick summary:
How does OpenAI (ChatGPT) work for Resume Screening automation?
OpenAI (ChatGPT) works for Resume Screening automation by powering a DeskFerry agent that runs the workflow end-to-end inside your existing tools — no code, no custom build.
- 01
Trigger fires
The agent connects to OpenAI (ChatGPT) alongside the other apps your team already uses, watches for the triggers that matter for Resume Screening, and takes the next step on its own while keeping a complete audit trail for review.
- 02
Screen today's 47 resumes from @LinkedIn using @ChatGPT
AI evaluates resumes against job requirements in seconds, producing objective rankings for your recruiters' review.
- 03
Score against the AE role rubric and shortlist five for the recruiter
Teams typically see hundreds/hr with consistent scoring rubric once the agent is in production.
- 04
You approve
You stay in control: every action is logged, confidence thresholds are configurable, and anything ambiguous is queued for a human instead of being silently auto-completed.
How you tell it what to do
Built in plain English.
You write the rule the way you'd describe it to a teammate. The agent reads the rule, breaks it into the actions it'll take, and confirms the apps it'll touch — before it does anything.
- 1Screen today's 47 resumes from @LinkedIn using @ChatGPT
- 2Score against the AE role rubric and shortlist five for the recruiter
Already wired in
ChatGPT is built into DeskFerry.
No API key, no model setup, no glue code. Connect the apps your team already uses and resume screening runs on them.
ChatGPT runs inside DeskFerry on our keys.
- LinkedInConnect
Runs on your data, in your apps.
Nothing to deploy. Nothing to maintain.
Actions
What OpenAI (ChatGPT) + DeskFerry can do
Real OpenAI (ChatGPT) actions your AI agent can perform automatically — no manual work required.
Create Assistant
Tool to create a new assistant with specified parameters. use after finalizing model, tools, and instructions.
Create Message
Tool to create a new message in a specific thread. use when adding messages to an existing conversation after confirming the thread id.
Create Thread
Tool to create a new thread. use when initializing a conversation with optional starter messages.
Delete assistant
Tool to delete a specific assistant by its id. use when you need to remove an assistant after confirming its id.
Delete file
Tool to delete a file. use when you need to remove an uploaded file by its id after confirming the target.
List files
Tool to retrieve a list of files. use when you need to view all files uploaded to your organization.
List fine-tunes
Tool to list your organization's fine-tuning jobs. use when you need to review all fine-tune runs.
List models
Tool to list available models. use when you need to discover which models you can call. use after confirming your api key is valid.
List run steps
Tool to retrieve all steps of a specific run. use when you need to inspect each step's details after initiating a run.
Modify thread
Tool to modify an existing thread's metadata. use after obtaining the thread id when you need to update metadata.
AE shortlist · 5 candidates ranked (top: Aisha Patel, 94/100)
ChatGPT screened all 47 applicants against our AE rubric (PLG SaaS, $50–250K ACV, 3+ years closing). Top five attached, ranked.
Personalized using LinkedIn activity from the last 30 days.
Human in the loop
Approve before it sends.
Every draft lands in a review queue. You approve, edit, or reject — the agent never acts on its own unless you explicitly turn that on for a workflow you trust.
Governance
Every action, with the reasoning attached.
Each step the agent takes is logged with what it did, why it did it, and which app it touched. Audit-ready, so security and compliance can sign off without backfilling.
- Marco11:42 AM
Approved the draft to recruiting@deskferry.com.
- Agent11:41 AM
Drafted the email and queued it for review.
Reason: High-confidence personalization but recipient is C-level — escalating per policy.
- Agent11:40 AM
Pulled LinkedIn activity and HubSpot deal context.
- Agent11:40 AM
Triggered: Screen today's 47 resumes from @LinkedIn using @ChatGPT — score against the AE r
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
How it works
Get started in three steps
Step 01
Connect OpenAI (ChatGPT)
Authorize OpenAI (ChatGPT) in your DeskFerry dashboard. The secure connection takes less than 60 seconds.
Step 02
Configure Your AI Agent
Set up triggers, actions, and conditions specific to how your team uses OpenAI (ChatGPT).
Step 03
Deploy & Monitor Results
Your AI agent goes live immediately. Track tasks automated, time saved, and accuracy metrics in real-time.
Start automating Resume Screening for OpenAI (ChatGPT)
7-day free trial. Works with the tools you already use.
FAQ
Frequently asked questions
What's in the rubric?
You define it: required experience, nice-to-have skills, dealbreakers, location and visa constraints. The agent asks clarifying questions before scoring if the rubric has gaps.
How do you handle bias?
The agent scores against the rubric only — it doesn't see name, photo, or pronoun. We surface a fairness check after each batch (acceptance rate by demographic) so you can audit.
Does it work with our ATS?
Yes — Greenhouse, Lever, Workday Recruiting, Ashby, and SmartRecruiters. Scores and summaries land in the candidate record, not a separate tool.
Can it draft the recruiter's outreach to the shortlist?
Yes. Each shortlisted candidate gets a personalized outreach draft referencing their specific experience. Recruiter reviews and sends.
What's the time savings on a 200-resume req?
Recruiters typically spend 3–5 minutes per resume. The agent does the first-pass screen in under a minute total, leaving recruiters ~6 hours for the candidates that actually deserve attention.
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