LovTalent: an AI job-hunting agent that splits the search into five stages

LovTalent is an AI-native job search agent from True Talents Connect (TTC), built on a multi-agent architecture with long-term user memory. It breaks the job hunt into five stages: job recommendations, industry insight, resume optimisation, growth planning and interview coaching. Each stage produces something concrete rather than general advice: three to five specific roles with a four-part analysis, a resume rewritten against a target job description, a growth path with identified gaps and an action list, and an interview script with answer frameworks and predicted follow-ups. The public beta is free and unlimited.

Job tools usually sit at one of two extremes. Either they are search engines that hand you several hundred postings to filter yourself, or they dispense advice that sounds correct but maps to no specific action. LovTalent occupies the middle: it narrows to three to five high-value opportunities, then explains each one through recommendation rationale, the core of the role, match points and risk points, and application advice. That structure answers the question of where to apply and how, instead of adding more links.

The second design decision is long-term memory. Once your resume, target roles, city preferences and reasons for moving are recorded, everything downstream — resume rewriting, role-tier assessment, interview question generation — is built on the same profile, so you never reintroduce yourself. The multi-agent split shows up here too: different agents handle different stages but share one user context, which is why interview questions line up with the keywords added during resume optimisation.

The third is making planning executable. Growth planning is not the sentence add data analysis skills; it assesses the role tiers you can realistically compete for, names the gaps and produces an action list. How useful that is depends on granularity, and the more specific the assessment dimensions and action items, the closer it gets to a plan you can actually follow.

Main features

Job recommendations: three to five roles with four-part analysis

A deliberately small set of high-value opportunities, each with recommendation rationale, role core, match and risk points, and application advice. The small number is the point: a few explained options beat a hundred unexplained ones.

Industry insight: track trends and role profiles

Generates track trends, representative companies and role profiles from industry knowledge and public data. When changing sector or aiming for a salary jump, this shapes whether your first impression of the target market is accurate.

Resume optimisation against a target JD

Rewrites your resume for a specific job description using the STAR method, keyword coverage and quantified outcomes. It restructures and reframes rather than swapping synonyms, turning a list of duties into results a recruiter can screen for.

Growth planning: role tiers and an action list

Assesses which role tiers your experience supports, identifies gaps and generates action items. Useful for turning a vague goal such as a pay rise into conditions you can verify stage by stage.

Interview coaching: questions, frameworks and follow-ups

Produces common interview questions, answer frameworks and predicted follow-up questions, effectively a preparation script tailored to the role and your history.

Long-term memory across agents

Resume details, preferences and motivations persist, and the agents at each stage read the same profile, so nothing has to be re-explained.

Running one job search cycle in LovTalent

1. Open lovtalent.com and enter the platform; the public beta is free and unlimited.
2. Enter target roles, city and preferences, or upload a resume, which becomes the input for every later analysis.
3. Review the job recommendations, starting with match and risk points rather than the job titles, before deciding where to apply.
4. Run an industry insight pass to check track trends, representative companies and role profiles against your own positioning.
5. Optimise the resume against a target JD and look specifically at which keywords were added and which outcomes were quantified.
6. Have the platform assess your role tiers and produce the gap and action list, then schedule those items into the coming weeks.
7. Before an interview, generate the question set, answer frameworks and predicted follow-ups, and rehearse out loud against the frameworks.

Who it suits

• People planning a move who are unsure which role type to target and want the shortlist narrowed first.
• Applicants with a low response rate who need the resume restructured and quantified against a JD.
• Career changers who need the track trends and role profiles before choosing a path.
• Recent graduates and early-career candidates who want to know what is currently within reach and what to build next.
• Candidates who keep losing interviews at the follow-up stage and want the frameworks in advance.

Limitations to know

• The source states the public beta is free and unlimited, but pricing, membership tiers and payment methods after the beta are not disclosed.
• How useful the recommendations are depends on the job supply behind the platform; the source does not describe which industries, cities or how many positions are covered.
• Resume optimisation and interview coaching are advisory. They are not an offer of employment, and every rewritten line should be checked against facts you can defend.
• Industry insight is generated from public data, and its timeliness and definitions are not disclosed. For specific salary bands or hiring volumes, cross-check against a primary source.
• The platform retains resumes and job preferences over the long term. Where data is stored, how long it is kept and how to delete it are not described in the source, so read the privacy terms before uploading.
• The service runs in the browser. Whether a mobile app exists, or whether job markets beyond Chinese-language hiring are supported, is not covered in public material.

Frequently asked questions

Does LovTalent cost anything right now?

The public beta is free and unlimited. Pricing and membership after the beta are not disclosed, so check the site's current terms.

How many jobs does it recommend at a time?

Three to five high-value opportunities, each with recommendation rationale, role core, match and risk points, and application advice.

What does resume optimisation change?

Experience is restructured with the STAR method, keywords are added and outcomes are quantified against the target JD. Facts remain yours to confirm; the tool does not invent experience.

How far does interview coaching go?

It generates common questions, answer frameworks and predicted follow-ups, which is a preparation script for that role and your history. Actual performance still depends on rehearsal.