Abhord Quickstart Guide (Refreshed 2026)
What’s new in this edition
- Multi-LLM normalization: Treat models as a panel and compare like-for-like time windows. Use consistent run counts and temperatures so results are comparable, and avoid over-weighting “chattier” models.
- Aspect-level sentiment: Don’t stop at overall polarity. Tag and track sentiment by aspect (pricing, performance, support, trust) to uncover actionable levers.
- Fractional share of