Ranked by what each change is worth on the composite — the gap to the next rung of the ladder times the dimension’s weight. Computed from the scores, not written by the model; the model’s sentence under each is the action.
Replace 'Platform' with 'software delivery automation tool' to reflect Harness's AI-driven SDLC focus.
Reduce abstractions in the main claim; remove or replace terms like Platform with concrete product noun (e.g., deployment tool, software delivery agent).
Attach a concrete metric to a named customer, e.g., 'Citi — 5.7M deployments per month' to demonstrate impact.
All three together: 71 → 81. Every dimension one rung up: 81 (grade A). Ceiling is 95.
None published. The scorer’s suggestion either reused a word the index strikes (platform, solution, system…) or ran past twelve words, and the gate drops those rather than print them. It will try again at the next re-score.
Five alternative headlines in five angles, a subhead, a call-to-action line, and a line-by-line edit for each of the five dimensions — written only from facts already on harness.io, gated like a rating (anything with a struck word is dropped, not sold). Delivered on a private page in about a minute.
Five dimensions on one ladder — 5 · 20 · 35 · 50 · 65 · 80 · 95 — weighted clarity 30%, specificity 20%, jargon 20%, proof 15%, call to action 15%. For each: the rung the page matched, the words that drove it, and what would reach the next rung. Full rubric →
The headline names a product category but uses an abstraction (Platform) rather than a concrete noun.
Harness: AI Platform for the Autonomous SDLC
Next rungReplace 'Platform' with 'software delivery automation tool' to reflect Harness's AI-driven SDLC focus.
Contains multiple quantified outcomes (spend, counts, deployments) tied to activities.
Here are the total AI spend this month: $142,400 across 6 teams.
Headline relies on broad abstractions (Platform, Autonomous SDLC) without naming a concrete product noun.
Harness: AI Platform for the Autonomous SDLC
Next rungReduce abstractions in the main claim; remove or replace terms like Platform with concrete product noun (e.g., deployment tool, software delivery agent).
Named customers are listed without accompanying metrics; some numbers on spend exist.
Citi United Airlines Ancestry Morningstar Workday Experian The Home Depot
Next rungAttach a concrete metric to a named customer, e.g., 'Citi — 5.7M deployments per month' to demonstrate impact.
Clear, action-oriented CTAs are present (See a Demo, Start for Free) that align with the claimed capability.
See a Demo Start for Free
Here are the total AI spend this month: $142,400 across 6 teams.Shows a measurable outcome linked to AI usage.
See a Demo Start for FreeDirect, actionable CTA aligned with the claim.
Harness: AI Platform for the Autonomous SDLC AI for everything after code Your harness for the autonomous SDLC Harness is the Autonomous SDLC Platform that ships AI code as fast as it’s written, catches risk before it ships, and governs every pipeline. See a Demo Start for Free Built for enterprise scale deployments/Mo 5.7M Flag Evaluations/MO 1.5T+ API Calls Protected/Mo 250B+ Citi United Airlines Ancestry Morningstar Workday Experian The Home Depot Ship Confidently Software Delivery Agent Stop stitching scripts together. Harness Software Delivery Agent takes every change, safely from commit to production. Learn more Automate your pipelines Deep integrations replace hand-built scripts Run agents in your pipeline AI doesn’t just run each step, it reasons through it Deliver anything, anywhere Ship code, AI agents, schema, and infrastructure Code Deployments Builds Infrastructure Deployments Artifacts Running Success Review Agent reviews PR for code quality, standards and risk Thinking Reviewing PR for policy adherence, style, and quality... Thought for 4s Pull request reviewed. Coding standards met, no policy violations detected. Build Cache Restore +2 more Selecting tests required for the changes in this build... Thought for 6s Build complete. Ran 38 of 412 tests, artifact signed and pushed to the registry Deploy Canary rollout Rollout 10% complete. Now I'm verifying canary against baseline metrics. Rollout complete. Deployment has been verified as healthy. What is the remedi
Strongest: Specificity 95. Weakest: Clarity 50. The 4 passes agreed within 5 points. The band 66–76 is where a re-score of this unchanged page would most likely land: on 42 dry re-scores (12 Oct 2026) the median move was 6 points and one in four moved more than 10. A grade only changes when a new score clears the boundary by 5.
No word in the headline itself was judged empty, yet jargon-free scores 65: the scorer found generic phrasing further down the page. Headline relies on broad abstractions (Platform, Autonomous SDLC) without naming a concrete product noun.
Static SVG. No JavaScript, no tracking.
Scored from the live homepage
on 2026-10-12 by gpt-5-nano,
4 independent passes, median taken.
Page snapshot ca5def115be0.
Rubric 7329c240 (current; what it says).
No person reviewed or edited this score. If the rubric and the score disagree, the rubric wins
and the page is re-scored — not hand-corrected.
Re-scored when the homepage text changes.