Briefly, an AI copilot for interviewers.
An automated pipeline that gives interviewers a candidate snapshot and tailored questions before every call, built for a hiring process.
Product walkthrough
A Note On This One
I built Briefly within 24 hours as part of a hiring process for a company I wanted to join. I ended up getting the offer, but couldn't take it due to personal reasons. I'm including it here because the thinking behind the pipeline, and the product decisions I made along the way, still reflect real work worth showing.
The Problem
Interviewers often have back-to-back meetings scheduled, leaving them little to no time to properly understand a candidate's profile before the call. Resumes are long and scattered, hard to scan quickly under that time pressure, which leads to the same generic questions and a poor candidate experience overall.
- Interviewers enter meetings with little or no prep with a busy schedule
- Resumes are long and scattered, hard to scan quickly
- Leads to generic questions, lost talent, and a poor candidate experience
- Every interviewer gets a 5-point candidate snapshot before the call
- 5 tailored questions generated automatically from the resume, avoiding generic questions
- Delivered as a scheduled Slack reminder, right where interviewers already coordinate
How It Works
Form → Google Sheets → Make.com → AI → Slack. A fully automated pipeline from candidate submission to interviewer reminder.
Note: Slack can be swapped for Gmail or the WhatsApp API, depending on where the team prefers to get notified.
Design Decisions
Every choice here was about keeping the pipeline lightweight and inside tools interviewers already use, rather than asking anyone to learn something new.
Kept it lightweight
Google Sheets and Forms chosen deliberately, so recruiters and interviewers can use tools they already know instead of learning a new system.
Trigger only on new entries
The scenario fires only on new rows, which avoids reprocessing old candidates and keeps the flow clean.
Deliver in Slack, not a new platform
Prep arrives exactly where interviewers already coordinate, so there's nothing new to check or log into.
Scheduled with the Slack API
Precise message timing without relying on extra modules, and it scales cleanly as candidate volume grows.
Embedded the resume link
One click gives the interviewer access to the full resume if the 5-point snapshot isn't enough detail.
Expected Impact
- Saves 5–10 minutes of prep time per interview
- Faster prep and clearer debriefs reduce time-to-decision, accelerating hiring cycles
- Even if an interviewer is running late, they still enter the call with baseline knowledge: current role, past companies, and 2–3 highlights
- Scales seamlessly as more candidates come in, with no added manual effort
Next Steps
This was a fairly simple, straightforward pipeline, built within 24 hours from ideation to completion. But I think the core idea can be made a lot more powerful. A few ideas which I feel will add more value to the project:
Role-aware briefs
Tailor prep based not just on the resume, but also the specific job description for the role.
A quick feedback loop
A simple thumbs up / thumbs down after each brief, so the system learns what's useful and the AI prompt keeps improving.
An Interview Debrief Engine
Extend the product to turn captured interview notes into structured insights: strengths, weaknesses, and a total score per candidate.
Auto-generated comparison reports
A "candidate comparison" report generated automatically for recruiters post the entire interview process, built on top of the debrief engine.
Pitch Deck
The original product presentation I put together for this project.