Can it help with system design?
It can help organize tradeoffs, constraints, architecture decisions, and measurable outcomes from your experience.
technical interview AI
Technical Interview AI for System Design and Engineering Rounds
AI for technical and coding interviews: help with system design, architecture stories, tradeoffs, impact metrics and follow-up questions, live on the call.
Structure under pressure
In a system design round the hard part is rarely knowledge — it is keeping structure while someone watches. Cloqa turns the question into an order you can follow: clarify requirements, estimate scale, propose a design, name the trade-offs. For “design a URL shortener at 100M links a month” the prompt starts with the numbers: about 40 writes per second, reads around 100× that.
Your projects, not textbook answers
Deep-dive questions (“tell me about the hardest bug”, “why did you choose that queue?”) are answered from your resume and uploaded documents, so the bullets mention your systems, your metrics and your decisions.
What it is not
Cloqa is built for spoken technical communication: system design, architecture, project deep dives and follow-ups. It is not a coding-challenge solver and does not replace coding practice.
Common use cases
- System design interviews
- Project deep dives
- Architecture tradeoffs
Why Cloqa
Generic AI tools do not understand a live interview timeline. Cloqa combines live transcription, your resume, the job description, uploaded documents, and a focused desktop app so the guidance stays relevant while the call is happening.
FAQ
Will it solve coding challenges?
The product is focused on live interview communication, transcript context, and answer structure rather than replacing coding practice.
Does it use my technical background?
Yes. Adding the job post and your resume gives the answers the right technical context — your stack, tools and projects.
Does it work when I share my screen for a technical round?
On macOS and Windows the overlay is excluded from screen capture.