Screen job postings and draft application materials automatically

Checks how well a job posting matches your resume, then drafts a cover letter and recruiter email if it's a fit.

How the work actually flows

It branches. Exactly one path is taken; runs once per each application material type; a person has to approve before it continues.

Pattern: Exclusive Choice (4) · Multiple Instances with a priori Design-Time Knowledge (13)

flowchart TD trig(("you send a job link")):::human s0["compare posting to resume"]:::task s1["score fit with ai"]:::task s2[["draft application materials"]]:::mi s3[("log application and save files")]:::store trig --> s0 s0 --> s1 s2 --> s3 hg(("you approve the match")):::human s1 --> hg hg -->|"approved"| s2 hg -. "sent back" .-> s1 gx{"× is it a strong fit"}:::gate s1 --> gx p00["draft materials"]:::task gx -->|"strong fit"| p00 p10["no drafting"]:::task gx -->|"weak fit"| p10 p00 --> s2 p10 --> s2 out[/"application materials ready to send"/]:::out pay{{"saves hours evaluating and writing applications"}}:::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
A stepRuns once per itemA personA record or sheetOne path onlyResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsKnowledge Base & RAGEmail AutomationMessaging & NotificationsSpreadsheet & Database OpsResearch & Market IntelligenceFile & Cloud Storage
Connects
OpenAIPineconeApifyGoogle SheetsGoogle DriveGmailTelegram

The problem it solves

You send yourself a job link and then spend an hour deciding if it's worth applying to, then more time writing a cover letter and recruiter note from scratch. Doing this for every posting you find is exhausting and inconsistent.

Who it fits

Job seekers, career coaches, or staffing agencies who evaluate many postings and need tailored application materials quickly.

How it works

  1. You send a job link through a chat message
  2. The system reads the job posting and compares it to your resume
  3. AI scores how good a fit the role is
  4. If it's a strong match, you approve it and the system drafts a cover letter, recruiter email, and resume suggestions
  5. The application is logged and the files are saved for you
What you get

Cover letters you still edit before sending

You get a job match score plus a drafted cover letter and recruiter email for roles worth pursuing.

What you get

A logged application record with a generated cover letter, recruiter email draft, and resume suggestions saved to your files.

What you need

An AI account, a vector database account, a web scraping account, and Google Workspace or Gmail.

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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