01 / Setup
Attach the CV and job context
Pick the Studio CV this conversation is about. Add the job spec and notes so Lyra knows which version of your career to draw from.
The answer starts from the CV and role context you chose.
Interview
The interview is where the story has to become speakable. Attach the right CV and job context, share the meeting tab so the question is captured, and Lyra shapes answer blocks from the record behind your application. The Reader keeps the response legible while you stay in the conversation.
WHY IT MATTERS
Generic AI can suggest a sample answer. It does not know the selected CV, the role, the question, or the work you can actually stand behind. Alynd Interview brings those layers together so the answer that arrives sounds like something you could say out loud.
Share the meeting tab with audio. The conversation is transcribed in real time so you are not typing while someone is still talking.
Attach the CV version, paste the job description, and add notes so Lyra knows which version of your experience this conversation is about.
Answers draw from saved Nexus evidence: responsibilities, projects, outcomes, skills, and the context behind the CV.
Behavioural, technical, situational, motivational, and follow-up questions return as readable blocks you can scan quickly.
When a question depends on what is on screen, capture the portfolio, diagram, case prompt, or code sample and send it with the question.
A large-text reader keeps the latest answer scannable, so you stay focused on the call instead of digging through a chat log.
WORKFLOW
Set the context before the call, capture the question when it lands, and read a structured answer without leaving the conversation.
STEP 1
Choose the relevant CV, paste the job description, add notes, and share the meeting tab with audio.
STEP 2
Use live transcript, pasted text, or a screenshot, whichever fits the question in front of you.
STEP 3
Read large, structured blocks. Adapt the wording and speak without scrolling through chat.
INTERVIEW IN MOTION
Attach the CV, capture the question, and let Lyra shape an answer from the job context and the saved record behind it.
01 / Setup
Pick the Studio CV this conversation is about. Add the job spec and notes so Lyra knows which version of your career to draw from.
The answer starts from the CV and role context you chose.
02 / Live
Share the meeting tab with audio so the question is captured live. No frantic typing while the interviewer is mid-sentence.
The transcript gives Lyra the exact question you need help answering.
03 / Lyra + Interview
Send the captured question with the CV and job context. Lyra returns an opening, evidence-backed example, and follow-up detail that stay close to what you actually did.
The answer stays close to your real experience instead of drifting into generic advice.
04 / Lyra + Interview
For technical, portfolio, product, or case questions, take a screenshot from the shared tab so Lyra can answer about the thing on screen.
Visual context appears when the question needs it, without making every answer depend on an image.
05 / Read
The Reader puts the latest answer in large, scannable blocks designed for quick glances during a live call.
You stay focused on the conversation instead of squinting at a chat thread.
06 / Iterate
Ask a follow-up, request a sharper version, or shift the tone. The previous answer and its context stay available.
You adjust on the fly without losing the thread behind the answer.
OUTCOMES
Questions that arrive faster than you can organise your thoughts
Technical, behavioural, motivational, and situational questions in one place
Follow-ups that need a clear link back to your CV and work history
Live conversations where generic AI would lose the thread
CONNECTED PLATFORM
Each area becomes stronger when it draws from the same trusted career record.