> ## Documentation Index > Fetch the complete documentation index at: https://docs.asendia.ai/llms.txt > Use this file to discover all available pages before exploring further. # Talent profile view page > Understand how Asendia AI presents and interprets candidate profiles to help recruiters make informed decisions faster. ## **Overview** The **Profile View Page** provides a comprehensive snapshot of each candidate identified by the AI sourcing agent.\ It aggregates verified public information and AI-generated insights, presenting a complete picture of a candidate’s experience, skills, and potential fit for a role. Recruiters can review the profile, rate the match, and access verified contact details (email or phone) using available credits. *** ## **Candidate Header** At the top of the profile, you’ll see key information, including: * **Name and Current Role** * **Company and Employment History** * **Location and Experience Duration** * **LinkedIn Profile Shortcut** Recruiters can also **Shortlist**, **Add to a Project**, or **Rate the Match** directly from the header. *** ## **Match Rating** The **“Rate this Match”** feature allows recruiters to provide quick feedback on AI accuracy: * 👍 **Good Match** — candidate fits the job requirements well * 👎 **Poor Match** — candidate is not relevant This feedback helps the AI continuously refine and improve sourcing precision. *** ## **Profile Tabs** Candidate information is organized into four structured tabs: ### **Overview** Summarizes key AI insights and highlights: * FAANG / Big Tech Experience * Rapid Career Growth * Senior Technical Role * Core Specialization (e.g., Full Stack Engineer, DevOps, Data Scientist) ### **Experience** Shows a chronological breakdown of the candidate’s career history, including roles, responsibilities, and notable achievements. ### **Skills & Assessment** Lists core skills, technical proficiencies, and tools identified by the AI — along with inferred competencies based on project descriptions. ### **Education** Includes degree information, institutions, and relevant coursework when available from public data. *** ## **AI Insights and Highlights** Asendia AI generates **contextual highlights** to help recruiters understand the candidate’s professional trajectory: * **FAANG / Big Tech Experience:** Recognized employment at major technology firms. * **Rapid Career Growth:** Accelerated promotions or project achievements. * **Role Relevance:** Job title and function match with the recruiter’s search intent. * **Skill Validation:** Confidence score for technical skills based on work history. Each highlight is color-coded by theme for quick scanning. *** ## **Contact Information** Recruiters can request verified contact details directly from the profile: * **Email Address** — Reveal with 1 credit * **Phone Number** — Reveal with 1 credit Contact details are sourced from compliant data providers and are available only when verified. *** ## **Integrations and Actions** Profiles can be: * Added directly to **Tracker**, **Bullhorn**, or other integrated ATS platforms * **Shortlisted** for future roles * **Exported** as part of a shortlist report or candidate summary These integrations make it easy to move from sourcing to engagement seamlessly. *** ## **7. Continuous Improvement** Each recruiter interaction — rating matches, shortlisting, or revealing contact info — helps Asendia AI learn recruiter preferences and continuously improve the relevance of future recommendations. Screenshot2025 08 26at7 14 34PM Pn