Sharedpro's AI agent interviews like a sharp senior engineer: it listens, generates follow-ups from the candidate's own answers, runs live coding or live role-play, and scores every claim against playable evidence. Communication is measured from the clock and the waveform, never from vibes.
Powering Sharedpro.co assessments · Backed by IIM Ahmedabad & 100X.VC
Technical decisions. Commercial judgement. Customer empathy. The same agent listens, gives space and asks deeper questions—with the conversation shaped by the role.
System design · technical depth · trade-offs
“You mentioned LangGraph in your email platform. What state did you pass between nodes?”
Follow an answer from the broad approach to the exact decision and its edge cases. Each response shapes the next question.
Scripted simulation · no recording or live analysis.
Give candidates room to explain. See how interruptions, unclear audio and requests for help can shape the next response.
Interruption handling exists in the agent. This scripted example illustrates yielding and retaining a correction; behavior depends on configuration.
The unfinished question stays visible, followed by the candidate’s correction and a revised question.
Interruption handling exists in the agent. This scripted example illustrates yielding and retaining a correction; behavior depends on configuration.
The unfinished question stays visible, followed by the candidate’s correction and a revised question.
Scripted simulation · no recording or live analysis.
Test the approach in a harder situation, then inspect the supporting answers, open questions and assistance offered.
Scripted simulation · no recording or live analysis.
“You mentioned LangGraph in your email platform. What state did you pass between nodes?”
The question changes. The purpose stays clear.
Understand what the candidate knows—and where more evidence is needed.
Follow-ups are generated from the candidate's own answers, so scripts and coached answers collapse under them.
A shared IDE with keystroke telemetry lets us score the working solution and the habits behind it.
Every CV skill is triangulated across what was claimed, what is required, and what the interview actually verified, with gaps named.
See a proceed or hold recommendation in the first five seconds, re-weighted for each role, followed by evidence for every number below it.
A tech lead wants the missing concept. A recruiter wants the consequence. Your client wants a courteous recommendation. The finding and severity stay the same; only the register changes.
Reaches for indexing as a reflex without a diagnostic step. There is no mention of EXPLAIN or query plans, index selectivity, or when an index makes writes worse. Working-level familiarity, below the proficiency the CV implies.
Knows the basics but struggles with performance problems, a common day-one task in this role. This is the gap a client interviewer is most likely to catch. Her answer was a guess, not a method.
Database fundamentals are in place; performance diagnosis is the area we recommend probing in your technical round. She is strong elsewhere; see the verified skill matrix and evidence clips.
For support, sales, success, ops, and HR roles, the live coding round is replaced with live role-play and situational judgment, using the same adaptive probes, playable evidence, and verdict-first report.
See what each check can surface, why it matters and what a reviewer should do next. Availability depends on setup.
Reference matching depends on configuration
An additional face appears in a sampled frame. The relevant moment is retained for review.
Review the frame and compare it with the authorised reference where available. Ask the candidate for context.
Face presence is not proof of identity. Lighting, image quality and the circumstances of the session matter.
A specific gap or inconsistency in an answer can lead to a relevant follow-up. Reading patterns, response timing and typing telemetry need context and review; they do not prove deception. The examples below illustrate how an interviewer can explore independent understanding without making an accusation.
Built and trained in-house. Expression outputs appear alongside interview recordings and support practice and training experiences. They describe model-detected expression patterns, not a verified emotional state or a measure of job ability. Explore a proposed support flow: an expression change prompts an offer to rephrase, and the candidate decides whether help is wanted.
The same interviewing agent, flipped to coaching, serves college batches heading into placement season and employee training, verifying and sharpening bench engineers before client project placements.
Bring your job description and assessment priorities. Walk through a role-specific interview, inspect the supporting evidence and discuss response timing, setup requirements and pricing with our team.
Role-specific evaluation · evidence review · pilot scope and pricing