Match candidate resumes to real-time job listings using AI

Pulls live job postings from the web and uses AI to score how well each one fits a candidate's resume.

How the work actually flows

A straight line. Runs once per each job posting compared to resume.

Pattern: Sequence (1) ยท Multiple Instances without Synchronization (12)

flowchart TD trig[\"new postings and profiles available"\]:::trigdata s0[["read job description and resume"]]:::mi s1["ai scores the match"]:::task s2[("save results")]:::store s3["send results out"]:::svc trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"match scores per job posting"/]:::out pay{{"faster more consistent candidate matching"}}:::pay s3 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepAn outside serviceRuns once per itemA record or sheetResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
Research & Market IntelligenceHR & Recruiting
Connects
Bright DataOpenAILinkedIn

The problem it solves

Comparing a resume against dozens of open roles by hand is slow and inconsistent from one recruiter to the next. You end up either missing good matches or wasting time on ones that were never a fit.

Who it fits

Recruiting firms, HR tech teams, or career coaches matching candidates to jobs at scale.

How it works

  1. Job postings and candidate profiles are pulled from LinkedIn and job boards
  2. The system reads the full job description and the resume
  3. AI compares the two and generates a match score with reasoning
  4. The results are saved and sent out automatically
What you get

Candidates ranked before you screen them

You get every candidate matched against live job postings with a fit score and reasoning ready for review.

What you get

A structured match report showing how well a candidate fits specific job postings.

What you need

A web data access account, an OpenAI API key, and a way to receive notifications.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

Related automations

Find trending Reddit posts and draft LinkedIn posts for approval

The system finds the most engaging Reddit post each day, drafts a LinkedIn post and image, and emails you for approval.

Advanced

Search LinkedIn job postings and log results in Google Sheets

Runs a LinkedIn job search from a simple form and saves every matching listing to Google Sheets.

Standard

Match your resume to job postings and save them automatically

Reads your resume, searches major job sites, and saves matching openings to a spreadsheet for you to review.

Advanced

Get an AI research brief on every prospect before your call

Scrapes each prospect's LinkedIn profile and emails you an AI-written brief before every scheduled sales call.

Advanced
Back to the AI Playbook