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HR & Recruiting Medium to set up AI workflow Schedule/Coordinate

CV Screening and Interview Scheduling

Source reviewed Updated 2026-07-07

Receives CVs via webhook, scores candidates with AI, sends personalized emails, schedules interviews on Google Calendar.

What it does

You save time by automatically receiving CVs, scoring candidate qualifications with AI, and filtering for top applicants. The agent then sends personalized emails to selected candidates, schedules their interviews on Google Calendar, and updates your team's status in Airtable.

Step by step

  1. Configure the webhook trigger to accept POST requests with JSON payloads containing candidate data.
  2. Set up Airtable base tables for candidates and interviews with defined field types for skills, scores, and status.
  3. Map the HTTP request node to send structured queries to the Airtable API for fetching existing records.
  4. Define the Slack notification payload structure including channel ID and message template variables.

Where the LLM does the work

  • Prompt the OpenAI model with a specific schema instruction to extract skills, years of experience, and a relevance score from unstructured CV text.
  • Generate personalized email content that references the candidate's specific extracted skills and the role they are applying for.
  • Determine the appropriate interview time slots by analyzing the candidate's availability against existing calendar conflicts.

Watch out for

Timezone mismatches between Google Calendar and Airtable can cause scheduling conflicts so always normalize timestamps to UTC before storage.

Tools that fit

Airtable Service Storing candidate data and job criteria
HTTP Request API Receiving incoming CV webhooks
OpenAI Chat Model LLM Parsing skills and assessing candidate qualifications
Send Email Service Sending messages to qualified candidates
Google Calendar Service Scheduling interviews automatically

The agent brief

Everything your agent needs, including the gotchas. Copy it and go.
agent-brief.md
You are helping me build the following AI agent workflow.

## Goal
CV Screening and Interview Scheduling: Receives CVs via webhook, scores candidates with AI, sends personalized emails, schedules interviews on Google Calendar.

## Specification
- What it does: You save time by automatically receiving CVs, scoring candidate qualifications with AI, and filtering for top applicants. The agent then sends personalized emails to selected candidates, schedules their interviews on Google Calendar, and updates your team's status in Airtable.
- Trigger: Triggered by an event (Event ยท on new CV submission via webhook)
- Autonomy: Fully hands-off
- Expected setup effort: about an afternoon
- Tools/services involved:
  - Airtable: Storing candidate data and job criteria
  - HTTP Request: Receiving incoming CV webhooks
  - OpenAI Chat Model: Parsing skills and assessing candidate qualifications
  - Send Email: Sending messages to qualified candidates
  - Google Calendar: Scheduling interviews automatically

## Known pitfalls, handle each one explicitly in your implementation
1. Timezone mismatches between Google Calendar and Airtable can cause scheduling conflicts so always normalize timestamps to UTC before storage.

## Reference implementation
https://n8n.io/workflows/10292 (workflow template)
Fetch and inspect this before building. If it matches my stack, adapt it;
if not, rebuild the pattern with my tools.

## Process requirements
1. Before building: ask me which of the listed tools I actually use and
   what my platform is (n8n / Make / code / other). Do not assume.
2. Adapt the pattern to my answers; do not force the reference stack.
3. Address every pitfall above; tell me how you handled each.
4. Provide a test plan I can run before letting this touch real data.
5. Ask before any step that sends messages, modifies data, or spends money.

Source: https://usecasesforagents.com/use-case/automate-cv-screening-and-interview-scheduling/ via usecasesforagents.com

Frequently asked questions

Can I use a different Spreadsheet than Airtable?

Yes. Airtable is only the example spreadsheet in this recipe. The same flow works with Baserow, Excel and Google Sheets. Swap the spreadsheet connection and keep the rest of the setup as written.

Want this running in your business?

This is what I do. I design and build AI agents like this one, and keep them running. If you want it set up for your team instead of doing it yourself, get in touch.
Get in touch →

Who it's for

Built for HR and recruiting teams who need a repeatable first pass, not a one-off.

Seen in the wild

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