Generic AI assistants — ChatGPT, Claude, Gemini, Copilot — are genuinely brilliant tools. We use them every day. But the gap between *prep* and *live performance* is where they fall apart and where GirGit AI was specifically built to live.
This post is not a takedown. It is an honest comparison of what each tool is designed to do.
What generic AI tools are great at
For interview preparation, generic LLMs are excellent. They explain concepts, generate practice problems, role-play behavioral scenarios, and review your resume. If you are studying the day before, you should absolutely use them.
- Concept explanation — distributed systems, ML internals, language quirks.
- Mock Q&A in chat form, with iterative follow-ups.
- Resume rewrites and bullet-point sharpening.
- Cover letter drafts and recruiter messages.
Where they break the moment a real interview starts
The features that make ChatGPT a great study partner are the same features that make it useless during a live call.
- No audio capture. You cannot have a live interviewer speak into ChatGPT. You would need to type every question in real time — impossible during a real meeting.
- No invisible overlay. Switching to a browser tab is visible to anyone watching your eye movements, and instantly visible the moment you share your screen.
- No persistent resume + JD context per turn. You can paste your resume once, but every long chat eventually drifts. There is no architecture forcing every answer to anchor on *your* experience and *this* role.
- Latency is wrong-shaped. Generic chat is optimized for thoughtful long answers. Interviews need a structured response in under one second.
- No coding-round mode that respects your interviewer's screen-share environment.
Side-by-side comparison
| Capability | ChatGPT / Claude / Gemini | GirGit AI |
|---|---|---|
| Captures interviewer audio live | No | Yes — system audio capture |
| Hidden during Zoom / Teams / Meet screen share | No | Yes — invisible overlay |
| Anchors every answer on your resume + JD | Drifts over long sessions | Yes — every turn |
| End-to-end latency | 2–6s typical | ~0.8s |
| Coding-round support | Yes (in chat) | Yes (overlay, multi-language) |
| Pricing for live use | $20/mo flat | ₹5/min (~$0.04/min) |
| Human help for OA rounds | No | Yes — book a real engineer |
| Built specifically for interviews | No | Yes |
The "I will just keep ChatGPT in another tab" trap
Almost every candidate tries this once. Here is what actually happens.
- You type the question while pretending to think — the interviewer notices the typing pause.
- Eyes drift to the second monitor — visible on camera.
- When asked to share your screen, you either lose your safety net or get caught with the chat tab open.
- By the third question, chat history has drifted away from your resume and you are getting generic textbook answers.
GirGit's invisible overlay, persistent resume + JD anchoring, and 0.8-second pipeline exist precisely because every one of these failure modes happens in real interviews.
When to use which tool
- Day -7 to -1 — use ChatGPT / Claude / Gemini. Practice problems, refine answers, rehearse out loud.
- The day of — use GirGit AI. Live transcription, live answers, invisible overlay, sub-second latency.
- Stuck on an OA — use GirGit AI's human help option. A real engineer remote-into your screen.
- Career strategy questions — DM GirGit's WhatsApp at wa.me/918176987384 for personal guidance.
The cost angle
ChatGPT Plus is $20/month. GirGit is ₹5/min — a 30-minute interview costs about ₹150 (~$1.10). If you only interview occasionally, GirGit is dramatically cheaper. And if you interview heavily for a month, GirGit is *still* often cheaper than the bundled subscription tools that try to do this job.
More importantly: with ChatGPT, you are paying for prep features you cannot actually use during the call. With GirGit, you are paying only for the minutes you spend interviewing.
Use ChatGPT to prepare. Use GirGit to perform. They are not competitors — they are different tools for different moments.