Tailor bullet point content to better match job descriptions

[dsmithnautel]

Summary

Instead of just selecting which bullets to include, actively rewrite and optimize bullet content to better match JD requirements while preserving factual accuracy.

Current Behavior

• System selects existing bullets verbatim
• No modification to wording or emphasis
• May miss keyword matches due to phrasing differences

Proposed Features

Content Rewriting

• Rewrite bullets to incorporate JD keywords naturally
• Emphasize relevant skills mentioned in JD
• Adjust action verbs to match JD language
• Optimize for ATS keyword scanning

Wording Optimization

• Improve clarity and impact
• Tighten verbose descriptions
• Strengthen weak action verbs
• Quantify results where possible

Hallucination Prevention (Critical)

• Compare rewritten bullet to original - flag significant deviations
• Require all facts/numbers to exist in original
• Show diff between original and rewritten for user approval
• Confidence score for how much content changed
• Option to revert to original
• Store both original and tailored versions

User Controls

• Toggle tailoring on/off per bullet
• Aggressiveness slider (light touch vs heavy rewrite)
• Review and approve all rewrites before export
• Edit rewritten content manually

Implementation Notes

• Use structured prompts that constrain LLM to factual content
• Extract facts from original, then rewrite around those facts
• Never add skills, metrics, or experiences not in original

Priority

Medium - significant feature but requires careful implementation