Automatically extract and organize candidate details from applications

Reads every job application, pulls out skills and experience with AI, and logs a clean candidate summary.

How the work actually flows

A straight line. A person is alerted when a step fails.

Pattern: Sequence (1)

flowchart TD trig>"job application submitted"]:::trig s0["AI extracts candidate details"]:::task s1[("Store record in candidate database")]:::store s2["Log summary to spreadsheet"]:::task trig --> s0 s0 --> s1 s1 --> s2 out[/"structured candidate summary logged"/]:::out pay{{"searchable organized applicant records"}}:::pay s2 --> out out --> pay esc(("Alerts a person")):::human s1 -. "if it fails" .-> esc esc -.-> out 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 stepA personA record or sheetResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsKnowledge Base & RAGMessaging & NotificationsSpreadsheet & Database OpsAPI & Webhook Integration
Connects
OpenAIPineconeGoogle SheetsSlack

The problem it solves

Every resume that comes in needs to be read, sorted, and compared, and doing that by hand for a high volume of applicants eats up hours you don't have. Important details like years of experience or key skills get missed or take too long to find. You want candidates organized and searchable the moment they apply.

Who it fits

HR teams, recruiters, and small businesses hiring without dedicated HR software.

How it works

  1. A new job application comes in
  2. AI reads the resume and pulls out skills, experience, education, and contact details
  3. The candidate information is stored so you can search past applicants later
  4. A structured summary is logged to Google Sheets for review
  5. If something goes wrong, a Slack alert lets you know
What you get

Candidate summaries ready for a quick read

You get every job applicant's skills and experience organized into a clear, searchable summary.

What you get

A structured candidate summary logged to Google Sheets, plus a searchable record of applicants.

What you need

An OpenAI API key, a Pinecone account, a Google Sheets account, and a Slack workspace.

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

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