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AI Improvementsv1.7.1

Improved Prompt Engineering

Improved Prompt Engineering (2026-03-05): Internal prompt pipeline refactor: versioned templates, eval harness, and role-specific system prompts reduced off-topic and generic AI outputs.

·3 min read·Honestify Engineering

Feature area: Prompt Pipeline

On this page

This release covers Improved Prompt Engineering Version 1.7.1, shipped 2026-03-05. Status: shipped. No breaking changes.

Summary

Internal prompt pipeline refactor: versioned templates, eval harness, and role-specific system prompts reduced off-topic and generic AI outputs.

Ad-hoc prompts in code caused inconsistent tone; AI answers occasionally ignored profile constraints or invented metrics. Centralized prompt registry with A/B evals, guardrails, and per-surface templates (chat, narrative, practice).

What Changed

Prompt registry

New

Git-tracked templates with semantic versioning.

Eval harness

New

Golden datasets for grounding, tone, and refusal cases.

Role-aware prompts

Improved

System prompts adapt to target role and seniority band.

Grounding eval pass rate

Before

71%

After

89%

Automated checks against golden set

  • Prompt registry — Git-tracked templates with semantic versioning.
  • Eval harness — Golden datasets for grounding, tone, and refusal cases.
  • Role-aware prompts — System prompts adapt to target role and seniority band.

Why We Built It

Ad-hoc prompts in code caused inconsistent tone; AI answers occasionally ignored profile constraints or invented metrics.

We prioritized this work because onboarding drop-off and support volume pointed to a clear UX gap. The fix needed to be durable—not a patch—so we addressed root causes in Prompt Pipeline rather than symptoms alone.

Engineers, recruiters, and hiring managers all benefit when Honestify behaves predictably in production. This release reflects that bar.

User Impact

Internal eval pass rate on grounding checks rose from 71% to 89%.

AudienceHow you benefit
EngineersFaster profile setup, clearer AI answers, less manual rework
RecruitersMore complete profiles and reliable share links when candidates use Honestify
Founders / hiring managersBetter signal on candidate preparation and skills alignment
Platform engineersDocumented APIs and stable auth flows

Relevant skills: prompt engineering, rag, langchain, python. Target roles: ai engineer, backend engineer, staff engineer.

Technical Highlights

  • Prompt rendering with Mustache-style variables
  • CI job runs evals on prompt PRs
  • Feature flags for prompt version rollout
  • Token budget optimizer per surface

Database migrations were backward-compatible; zero-downtime deploy completed successfully.

Before

Improved Prompt Engineering: before vs after

Before

Prompts scattered across API routes; changes required deploys with no regression tests.

After

Versioned YAML templates with eval suite gating production promotion.

Users moving from the previous experience should notice versioned YAML templates with eval suite gating production promotion.

Screenshots

Future Improvements

What we are building next

  • User-facing tone preferences
  • Employer-specific prompt packs
  • Real-time eval dashboard

Known limitations

  • · Eval set coverage still expanding for edge-case refusals

Feedback welcome: Reply via in-app feedback or support—especially if you hit edge cases we did not cover in this release.

This update connects to other Honestify work:

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