Use Case
Humanities & EQ
Judgment and values need calibrated evaluation.
The Problem
Where judgment breaks down
Standard evals reward fluency and factual accuracy. Real-world humanities tasks demand nuance, cultural awareness, and genuine empathy.
Safe, hedged responses that avoid taking any position and end up useful to no one
Ethical reasoning that applies Western defaults without acknowledging the frame
Tone and empathy that sound right on the surface but miss what the person actually needs
How It Works
From surface-level to deeply calibrated
BakeLens maps where judgment fails. Proof delivers the expert data to close the gap.
BakeLens evaluates judgment quality
Proof delivers calibrated expert data
Domain experts score depth, nuance, and cultural calibration, not just fluency
Annotations from humanities scholars, ethicists, and licensed practitioners
Identify where the model hedges vs. where it should hedge, and where it gets the line wrong
Rubrics that define what good judgment looks like in each subdomain, including art, ethics, and EQ
Compare against expert baselines to separate style failures from reasoning failures
Cases where the right answer is genuinely ambiguous, labeled with expert reasoning about why
What You Get
Deliverables
Judgment Quality Report
Where your model defaults to safe/generic, and where it misjudges nuance or tone
Expert-Calibrated Datasets
Hard cases in ethics, art criticism, and emotional reasoning, labeled by domain practitioners
Subjective Eval Framework
Rubrics and baselines for domains where there's no single right answer
Explore More
Agent Reliability
Agents fail where it matters: planning, tools, ambiguity. Diagnose and fix long-horizon failures before production.
Read moreCoding Models
Repo-level coding ≠ solving LeetCode. Expert data for real-world debugging, testing, and integration.
Read moreSTEM Reasoning
PhD-level reasoning requires proof, not patterns. Verified expert annotations across bio, chem, math, med, physics.
Read moreBuilt for AI Operating Beyond Benchmarks
Diagnosis, evaluation, expert data, and environments for production deployment.