AI Interview Prep Coach
Paste the job posting; Ryna AI produces 15 likely questions + ideal answer structures. Run mock interviews to iterate.
Interview prep is an asymmetry problem: the company has 30 minutes to decide; you've been preparing for weeks. Beyond the classics ('tell me about yourself', 'why us?', 'biggest weakness'), there are company-specific culture-fit questions, technical cases, behavioral interrogations.
Ryna AI levels your side of the asymmetry. Paste the job posting and your CV; Ryna extracts the 15 most likely role-specific questions, suggests STAR (Situation-Task-Action-Result) answer skeletons, and scores + critiques your drafts when you iterate. In mock-interview mode, Ryna plays the interviewer — say 'grill me as a tough interviewer for this role' for realistic simulation.
Salary negotiation lives in the same chat: 'What's the mid-to-upper range for this role in 2026 NYC? Phrase a counter-offer for me?' Ryna knows market benchmarks and negotiation tactics. Free plan covers near-unlimited mocks; PDF CV upload requires Plus ($12/mo, 399.99 TRY).
Why use Ryna AI for this
Role-specific question prediction: job posting + company → 15 likely questions, not generic 'tell me about yourself' but position-tailored.
STAR-method templates: every answer structured Situation, Task, Action, Result — interviewers' preferred format.
Live mock simulation: 'play interviewer, ask sequentially, score my answers' mode.
TR + EN interview practice: English for international applications, native for local — switch language mid-chat.
Salary negotiation support: 2026 market benchmarks + counter-offer phrasing + benefits-package comparison.
Behavioral question bank: 30+ classic prompts ('toughest conflict', 'how you handle failure') with answer patterns.
Example prompts
Copy any prompt below and paste into chat.rynaai.com. Each prompt is tuned for a different scenario — try them all to see how Ryna AI adapts.
How it works — step by step
- 1
Share posting + CV
Paste the full job posting or LinkedIn URL. Drop in your CV as text (Free) or PDF (Plus). State your level (junior/mid/senior) — depth of questions adjusts.
- 2
Get the question list
'Give me 15 most-likely role-specific questions with STAR-format answer skeletons.' Ryna emits 5 behavioral + 5 technical + 3 culture-fit + 2 expectations/salary questions. With Plus + web search it can read the company's recent engineering blog posts for sharper prediction.
- 3
Draft answers, get feedback
Write your answer to each, ask 'does it fit STAR? give 3 improvements'. Ryna gives specific feedback — 'Action is weak, add a quantitative result'. Do this for 5 core questions; the rest fall into pattern.
- 4
Run a mock simulation
'Now act as a real interviewer. Ask questions sequentially, score my answers.' In this mode Ryna asks only, waits for your answer. At the end ask for 'overall performance score and 3 areas to improve'.
Example: input → output
You ask
Job: Senior Frontend Developer, fintech startup, NYC. CV: 6 years React, 2 years team lead. 5 likely questions + STAR skeletons.
Ryna AI returns
**Question 1 (Behavioral): How do you approach a complex technical problem?** • Situation: 'Last year we had reports of 3-second freezes in our payment flow.' • Task: 'User loss was approaching 12%, I was leading the resolution.' • Action: 'Used React Profiler to identify 14 over-rendering components, refactored with useMemo + added Suspense boundaries.' • Result: 'Freeze reports dropped 85%, conversion up 8%. Done in 9 days.' **Question 2 (Technical): Walk through React 19 advantages in a project context.** • Situation: 'We had a project where we adopted Server Components.' • Task: 'Initial bundle had to drop from 480KB to 200KB.' • Action: 'Moved data fetching to server with the use hook, reduced client-side state by 60%.' • Result: 'TTFB 1.4s → 380ms. Lighthouse 67 → 91.' **Question 3 (Culture fit): Toughest moment as team lead?** • ... **Question 4 (Expectations): What would you achieve in your first 90 days?** • ... **Question 5 (Salary): What's your expected range?** • 'For senior frontend + team lead in NYC, 2026 market is $130-160K. I'm targeting $145-155K, but flexible based on your full package details.'
Pro tips
- Rehearse answers out loud — does the written version still sound like you when spoken?
- Every STAR answer needs at least 1 number or percentage — replace 'improved' with 'cut cycle time from 6h to 30min'.
- Prepare your own questions: 'What does success in the first 90 days look like?' / 'How does the team conduct performance reviews?'
- If you struggle on 1-2 mock questions, repeat them 5 times to build muscle memory.
- In salary negotiation, say a range ('X-Y'), not just 'min X' — gives bargaining room.
- Send a thank-you note within 24 hours — ask Ryna 'write a 100-word thank-you email to the interviewer, emphasize topic X' for a 30-second draft.
Ryna AI vs ChatGPT (free)
| Feature | Ryna AI | ChatGPT (free) |
|---|---|---|
| TR market salary benchmarks | Built-in (TR market dynamics) | Generic; misses TR-specific ranges |
| Mock simulation mode | Native — interviewer role-play with scoring | Possible but resets context each session |
| PDF CV upload | Built into Plus ($12/mo) | Available on Plus ($20/mo) |
| TR + EN in one session | Switch language mid-chat, tone preserved | Possible but tone consistency suffers |
Common mistakes to avoid
- ✕Telling sprawling stories without STAR structure — interviewer tunes out after 30 seconds.
- ✕Inflating numbers/results — gets caught in reference checks; real metrics are 20% less shiny but credible.
- ✕Not preparing your own questions — 'any questions?' is a chance, silence reads as disinterest.
- ✕Avoiding salary expectations — 'flexible' means they'll start at the floor; give a range.
- ✕Doing one mock and stopping — answers become automatic after 5 simulation rounds.
- ✕Not researching the company's recent news — generic answers to 'why us?' cost ~30% in signal.
Who this is for
Job seekers, new grads, career switchers, international applicants.
FAQ
How realistic is the mock simulation?
Knows frameworks senior interviewers use (STAR, behavioral interrogation, technical drilling). For company-specific detail, use Plus + web search to read recent blog posts for sharper prep.
Does it help with my English-interview accent?
Gives written feedback — word choice, grammar, tone. For accent, use a dedicated audio tool (ELSA Speak, Speechling). But you can ask 'how would a native American say this more naturally?'.
Can it prep me for international companies?
Yes — especially knows the formats of FAANG, Stripe, Notion (LeetCode, system design, behavioral). Tell it 'prepare me for Stripe senior backend' and it adapts to that specific style.
How current are salary benchmarks?
General market behavior is current to 2026. For specific company-role combos, enable Plus + web search to validate against Glassdoor/Levels.fyi in real time.
How does it spot my personal weak areas?
After 5 mock rounds, ask for 'overall pattern analysis' — Ryna identifies structural gaps like 'short Action in behavioral answers' or 'evasive on salary'.
Is rejection/hard-interview simulation safe?
Yes — runs in 'firm but constructive' mode. Better to struggle in simulation than be unprepared in the real thing. Only way to test your stress response.
Should I polish my CV before mock prep?
Yes — refine your CV in the 'cv-hazirlama' (resume builder) use case first, then start mock prep with the polished version. Both can happen in one chat.
How many mocks on the free plan?
Free has near-unlimited daily messages — practically 10-20 mocks. Only PDF CV upload needs Plus ($12/mo, 399.99 TRY).
Related use cases
Free — near-unlimited daily messages
No credit card. Plus at $12/mo (399.99 TRY) unlocks image analysis, file analysis (PDF/Word/Excel), deep thinking, web research, and assistants.