Chordio Wireframes

Benchmark how well coding agents handle product experience decisions

Advanced
Screenshot of Chordio Wireframes, Benchmark how well coding agents handle product experience decisions

What is Chordio Wireframes?

Chordio Wireframes is an AI chat bot tool. PX-bench from Chordio scores coding agents on the product experience decisions they make when adding features to a held-out app, across eight categories including visual craft, convention adherence and accessibility.

PX-bench is a long-horizon benchmark from Chordio that measures the design decisions coding agents make when they add a feature to an existing product. Rather than prompting an agent to build an app from scratch, the benchmark drops it into a held-out host app, a multi-screen product it has never seen with its own house conventions, and asks it to ship a new capability. The resulting build is then scored across eight categories of product experience, each tied to a decision a senior product designer would recognize. The eight categories are intent fidelity, product fit, visual craft, convention adherence, pathway completeness, content and language, resilience, and accessibility. Underneath each category sit concrete rubrics: whether the right container and pattern were chosen, whether design tokens were reused over hardcoded values, whether cancel and undo paths exist without dead ends, whether empty and error states are handled, whether axe-core violations appear, and how the layout holds up under long content and small screens. Every scenario is mapped in advance to a known-good outcome, so the agent's choices can be scored against ground truth instead of judged in a vacuum. The audience is teams building or selecting coding agents: model labs, agent harness developers, and engineering leaders who need to know where product quality breaks and what it costs to ship a feature. Scoring is automatic and anchored in expert-defined rubrics, which removes the slow human review loop that normally stalls evaluation work as models update. The harness is Inspect AI, the UK AI Safety Institute framework, and Chordio states that any published scenario can be independently rerun. Where it differs from generic coding benchmarks: those measure whether code runs, while PX-bench measures whether the result feels like it belongs in the product. Chordio also publishes methodology notes on scoring validity and run-to-run variance, so buyers can weigh how much of a score gap is signal.

How do you use Chordio Wireframes?

  1. 1Read the sample GPT-5.5 report
    Open the published report to see how a full run is presented: the overall score, the eight category breakdowns, token spend and approximate cost to ship a feature.
  2. 2Review the evaluation landscape
    The landscape article maps six families of AI design measurement and explains where product-in-context evaluation sits relative to design benchmarks and coding benchmarks.
  3. 3Understand how scoring is validated
    Read the validity notes on scorer error and run-to-run variance before you interpret any score gap as a real difference between agents.
  4. 4Contact Chordio for a private eval
    Send your coding agent and harness details through the contact route on the homepage; Chordio runs them against the same held-out host apps used for the public sample.
  5. 5Review the returned category scores
    Once the private run completes, work through the eight category scores to identify where product experience holds up and where it breaks, alongside the token cost.

Pros and cons

Pros

  • Scores design judgment on eight named categories with published rubrics, so results are inspectable rather than a single opaque numberAI
  • Runs against held-out multi-screen host apps the agent has never seen, which makes consistency and pattern choice genuinely testableAI
  • Failure scenarios are mapped to known-good outcomes in advance, giving the agent's choices something concrete to be judged againstAI
  • Built on the UK AI Safety Institute's Inspect AI harness, and Chordio states published scenarios can be independently rerunAI
  • Private evaluations are available, so a team can benchmark its own agent and harness against the same scenarios used for frontier modelsAI

Cons

  • The taxonomy is explicitly labeled v1 and will change, so category scores are not yet a stable yardstick across timeAI
  • Chordio's own noise-floor research shows the same agent on the same task scoring roughly 0.66 to 0.79 across ten runs, which limits how much small score gaps meanAI
  • Scoring is largely automated, and Chordio documents cases where text-reading scorers confidently rated a broken flow as perfectAI
  • No public self-serve evaluation: running the benchmark requires contacting the company, which slows down iteration for smaller teamsAI
  • Scores reflect performance on Chordio's host apps and rubrics, not on your own design system or product conventionsAI

How much does Chordio Wireframes cost?

Support

Support runs through a contact link on the homepage and a direct email address for private evaluation enquiries. No self-serve documentation or help centre is listed.

Integrations

Built on the UK AI Safety Institute's Inspect AI framework, so any published scenario can be independently rerun. Teams supply their own coding agent and harness for private evaluations.

Features

Eight scored categories (intent fidelity, product fit, visual craft, convention adherence, pathway completeness, content and language, resilience, accessibility) with published rubrics. Agents add features to held-out multi-screen host apps with pre-mapped failure scenarios and known-good outcomes. Automatic scoring runs on the Inspect AI harness, and private evaluations report category scores plus token spend and approximate cost to ship.

Learn more

Frequently asked questions about Chordio Wireframes

  • How do you use Chordio Wireframes?
    The walkthrough on this page covers 5 steps: 1. Read the sample GPT-5.5 report 2. Review the evaluation landscape 3. Understand how scoring is validated 4. Contact Chordio for a private eval 5. Review the returned category scores.
  • What platforms does Chordio Wireframes support?
    Chordio Wireframes is available on Web App.
  • What does Chordio Wireframes integrate with?
    Built on the UK AI Safety Institute's Inspect AI framework, so any published scenario can be independently rerun. Teams supply their own coding agent and harness for private evaluations.
  • What are the limitations of Chordio Wireframes?
    The taxonomy is explicitly labeled v1 and will change, so category scores are not yet a stable yardstick across time. Chordio's own noise-floor research shows the same agent on the same task scoring roughly 0.66 to 0.79 across ten runs, which limits how much small score gaps mean. Scoring is largely automated, and Chordio documents cases where text-reading scorers confidently rated a broken flow as perfect.

Status

StatusActive
Views0
Outbound clicks0
Added10/21/2026

Platforms

Web App

Pricing

Paid