I think AI interview copilots are solving the wrong problem.
Most candidates don't fail interviews because they lack knowledge.
They fail because they can't communicate what they already know under pressure.
A tool that whispers answers during an interview doesn't fix that.
It hides it.
"If you need a copilot to pass the interview, you'll need one to do the job."
I wrote about why I believe that, the recruiter backlash that's starting to emerge, and what I think the honest alternative looks like:
https://t.co/a36NEEZG3E
@marlouroboros prescreens are weird bc the bar is low but the nerves are high. quick one โ have you said your answers out loud beforehand or just rehearsed them in your head?
@TonyDoeMedia transcription that actually handles pidgin and local languages is the hard part โ most ASR collapses on code-switching. how are you handling speakers who mix languages mid-sentence?
@EssereAI 340% growth in deployment but the real question is retention โ how many of those voice agents are still live after 90 days vs quietly turned off?
@Triipujik emotion in TTS is the last 20% that takes 80% of the effort. curious how it does on long-form โ does the expressiveness hold or drift after a few paragraphs?
@alaamurad tiny models for local dialects + cheap telephony is the actually-hard problem the big labs skip. how are they handling the jittery-call part โ denoising on-device or model trained on degraded audio?
@IdleProtocol paying per-call in USDC from residential IPs is a wild combo. how do you stop an agent from running up a huge bill in a loop โ hard caps per session or just monitoring after the fact?
@dmytrovirych chatgpt referrals are sneaky valuable bc the intent is so high. did you do anything to get listed or did it just start surfacing your tool on its own?