GenAI - TalentAlly
Ease of Recruiting
Designing an Agentic AI for Hiring Intelligence
SkillsProject.AI - Founding Designer
B2B
Recruiting
Hiring
GenAI - Conversational
Talent AI
Duration
6 months, 2025
Core Responsibilities
0→1 product development, MVP, Vibe Coding, Conversational AI product ,Design Thinking, Ideation & Concept Development, UX Research, Information Architecture, Content Strategy, Real-time KPI Validation
Overview
What are we trying to solve?
TalentAlly is a recruitment intelligence agent built inside Skillproject.AI. It helps hiring teams move faster, make better-evidenced decisions, and replace inconsitency feedback with verified proof with skills— from deciding whether a role is even realistic, all the way through to closing the right hire.
Opportunity
Reduce hiring timeline and automate mundane tasks, increase skill based hiring over traditional resumes,
My Role
As the founding designer, I owned the end-to-end design of this product: from mapping the problem space, defining user personas, and architecting the information model, to designing the conversational UX and building interactive prototypes using AI-assisted (vibe coding) tooling.
Users
Hiring managers, Talent acquisition team, and founders
"Hiring fails less from talent gaps and more from misaligned decisions.TalentAlly replaces assumptions with skill-based verification."
HYPOTHESIS: User-centric Goal Driven
IF we can reduce the operational burden on hiring teams by automating pipeline management and replacing resume-based screening with verified skill evidence, THEN teams will feel confident making faster, fairer hiring decisions digitally, BECAUSE they can clearly understand candidate quality through structured proof-of-work results — without being overwhelmed by sheer volume, inconsistent interviews, or manual tracking.
Quick Prototype preview - Conversational AI
The AI Design Ledger
Designing a Human-centric System for Trust, Control, and Intelligent Automation
In this project, I explored how AI can move beyond generative outputs and become a reliable operational partner for hiring teams. My goal was to design a system that doesn’t just automate workflows, but provides transparent, auditable, and human-controlled.
Agentic AI
Time efficiency
Structured Outputs
I introduced a system where every AI response is formatted as a structured document that is consistent, scannable, and reusable
Auditable Output
Constrained frame
Tagged Inference
Lack of visibility on how conclusions are formed, tagging inference model " explicit" and "inferred" provided clear attributes and reasoning on every recommendation.
Trasparent Reasoning
Labelled
Confirmation Gates as a Trust Mechanism
A key barrier to AI adoption in hiring is the perceived loss of control over candidate interactions. I addressed this by ensuring the AI never executes actions autonomously, every external step requires explicit user approval, keeping humans in control while AI operates as a support layer.
Human Control
Deliberate Gates
Feature Page
ndhotr20@gmail.com
E-mail
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About me
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Contact me
Video
@nikita.dhotre_2025
Private Policy
Digital Experience