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 the main headline with a concrete product name that matches the page’s subject matter, such as 'Managed Agent Runtime' or 'Agent Droplets' to clarify what is offered.
Remove abstract terms; refer to explicit nouns like 'Agent Runtime' and 'Inference Engine'.
All three together: 76 → 84. Every dimension one rung up: 83 (grade A). Ceiling is 95.
Built only from facts already on the page — not the company’s words. Shown so the gap between what was written and what could have been written is concrete rather than a number.
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 digitalocean.com, 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 uses an abstract term rather than a concrete product noun; it mentions 'AI-Native Cloud' and 'platform' language rather than a specific product category.
AI-Native Cloud
Next rungReplace the main headline with a concrete product name that matches the page’s subject matter, such as 'Managed Agent Runtime' or 'Agent Droplets' to clarify what is offered.
The page contains measurable outcomes and named metrics (e.g., '67% lower cost'), tied to specific named entities (Workato).
67% lower cost.
The header relies on abstractions like 'AI-Native Cloud' and 'One integrated platform', which are vague without concrete nouns.
AI-Native Cloud
Next rungRemove abstract terms; refer to explicit nouns like 'Agent Runtime' and 'Inference Engine'.
Contains named customers and numeric outcomes (Workato, 67%), which provides verifiable claims.
67% lower cost — with 67% higher throughput on the same workload.
CTAs like 'Get started', 'Sign up', and 'Explore products' appear under broad claims, providing a direct path.
Start building today
AI-Native CloudCentral headline uses an abstract term rather than a concrete product noun.
67% lower cost — with 67% higher throughput on the same workload.Concrete numeric proof attached to a claimed outcome.
Start building todayDirect CTA aligned with product exploration/actions.
AI-Native Cloud | DigitalOcean AI-Native Cloud One integrated platform, silicon to agent, with economics that improve as you scale. Get started Explore products Introducing Agent Droplets One price. One bill. Everything you need to build with Managed Agents. Learn more Scale inference. Not complexity. Serverless inference, intelligent routing, and 80+ models. No infrastructure to wrangle. Start building today Explore products Better intelligence per dollar Route every request to the right model, and pay only for the intelligence you use. Start serving models Explore products 16,000+ tools, all governed. One agent runtime. DigitalOcean Managed Agents is live in Public Preview. Try it now Explore products 25 50 100 200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 From real-time agents to trillion-token workloads, leaders in AI run on DigitalOcean. RadixArk character.ai Ace Studio Hippocratic AI Ideogram Workato Fal.ai Traversal 67% lower cost. Workato runs 1T+ automation tasks on DigitalOcean's Inference Engine at 67% lower cost — with 67% higher throughput on the same workload. View case study 10x serving throughput RadixArk, the team behind open-source inference engine SGLang, runs all 1.6T parameters of DeepSeek V4 Pro on DigitalOcean and tuned it to 10x throughput. 40% reduction in latency. Hippocratic AI runs healthcare agents on DigitalOcean, powering 20M+ patient interactions with 40% lower end-to-end P99 latency and 2× higher throughput. Built for agents. O
Strongest: Specificity 95. Weakest: Clarity 50. The 2 passes agreed within 6 points.
Static SVG. No JavaScript, no tracking.
Scored from the live homepage
on 2026-10-12 by gpt-5-nano,
2 independent passes, median taken.
Page snapshot b8d6fcecbca1.
Rubric 5abbca9a (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.