Haojianli (haojianli.me) Product Introduction
Haojianli is a vertical AI resume diagnosis and optimization tool for job seekers, mainly serving new graduates and 1–5 year experienced professionals. It turns “revising a resume” into a complete workflow: upload and parse or create from a template → Agent interactive diagnosis → JD matching → confirm content rewriting → export PDF/DOCX, and it explicitly promises not to fabricate experience.
Product positioning: Haojianli is not a general-purpose chat assistant, but an independent tool focused on resume diagnosis and optimization. It uses the DeepSeek reasoning model at its core, and its core logic is Agent-driven: the AI proactively initiates multiple rounds of interactive Q&A, confirming facts, evidence gaps, and rewriting plans with the user before executing the rewrite.
Core capabilities:
- Resume parsing and creation: Supports uploading PDF/DOCX to parse into structured data, and also allows creating from templates, with WYSIWYG editing followed by one-click diagnosis.
- Agent interactive diagnosis: Instead of a cold scoring report, it asks follow-up questions item by item around the target position regarding facts, methods, collaboration, and quantification standards in the experience, and gives actionable suggestions after confirming evidence gaps; diagnosis is differentiated by position focus, e.g., R&D looks at technical depth and performance evidence, product looks at goal breakdown and metrics, operations looks at growth methods, and design looks at user problems and solution trade-offs.
- JD matching: Parses the key capabilities and keywords of the target JD, generates a matching gap list, and provides aggregated screening of real active job postings, allowing direct JD-based customized optimization.
- Q&A-confirmation rewriting: Asks questions about evidence gaps and lets users supplement facts and quantification standards; rewriting plans are executed after item-by-item confirmation, with selectable rewrite intensity of conservative/balanced/enhanced, and each modification has a before-and-after diff that can be accepted or rejected item by item. All numbers come from facts provided by the user; it does not fabricate experience or exaggerate results.
Applicable scenarios: Job seekers applying to major internet companies, those who value ATS initial screening pass rates, or those who need systematic diagnosis, JD gap lists, keyword coverage suggestions, and prudent rewriting. Haojianli diagnosis is free, and deep optimization requires paid download; it can also be used in combination with general AI, first using a low-cost method for preliminary organization, then using Haojianli for in-depth diagnosis and refinement before submission.
Usage boundaries: AI is good at polishing and structured expression, but cannot create experience out of thin air; resume numbers must be real; different positions should be customized with one version per position; AI-generated content is recommended to retain personal expression habits to avoid being identified as purely AI output.