Web prompt coach
Score, reshape, copy, and continue a prompt locally without installing anything.
Measurably turns six prompt-structure signals into local coaching across the web, supported Chromium sites, and local Codex and Claude Code sessions today—with a desktop companion moving through platform validation.
Plan the release with:
• explicit acceptance gates
• rollback evidence
• platform-specific checks
Sync is designed around scores and metadata, never prompt bodies as analytics.
Release truth, not roadmap theater
Cross-platform source is not the same as a trusted publisher-signed, installed, physically accepted product. We show the difference.
Score, reshape, copy, and continue a prompt locally without installing anything.
A checksummed Chromium package now offers local scoring and prompt actions; account pairing remains paused.
A checksummed local MCP CLI connects Codex and Claude Code; macOS is locally accepted and cmux inherits host settings.
Source now includes an encrypted private prompt library, keyword recall, and optional local vector recall; trusted signed downloads are still gated.
Browser 0.8.0 and CLI 0.3.0 previews are downloadable now. Bring explicit next-prompt previews to supported Chromium sites or local MCP coaching to Codex and Claude Code; verify each published SHA-256 receipt before installing.
Install the previewTry the local prompt coach
Score all six AES dimensions, enhance or reshape the prompt, dictate on supported browsers, and prepare a current-prompt follow-up—all without sending prompt text to us.
AES evaluates prompt structure with deterministic heuristics. It does not measure model-output quality or prove productivity gains.
Type a prompt to see your
AI Effectiveness Score
Scoring runs locally in your browser.
Nothing leaves this page.
A measurement layer, not another chatbot
Models, IDEs, and interfaces keep changing. Measurably surfaces context, constraint, and output-format signals you can review before sending, while the resulting response remains the real test.
Read the scoring methodologyOne AES score, backed by six dimensions that explain what to improve: specificity, context, structure, iteration, efficiency, and output definition.
See the missing context before you send, reshape a prompt in one click, dictate on device where supported, and prepare the next prompt with one shortcut.
Build useful trends from derived scores, tool names, and timestamps. Raw prompt text is not an analytics event.
The desktop source can save named prompts in a separate encrypted vault and recall them by words or local embeddings—only after an explicit action.
The privacy boundary is architectural: local scoring is the default path, and prompt bodies are excluded from persisted measurement analytics, logs, and dashboards.
Deterministic scoring can run without sending the prompt to a model provider.
Store the score, dimensions, source tool, and time—not the sentence that produced them.
Saved prompts and embeddings use a separate encrypted desktop vault and never become measurement analytics.
A rewrite or deeper model analysis is a separate, explicit action with its own processing boundary.
Versioned schemas and privacy tests make the intended data boundary reviewable.
Community release under evaluation
Measurably is private and has no approved root license today. Any future public release remains gated on an approved license, governance, reproducible packages, and verified release evidence.
Request a launch noticeLocal web and browser scoring, prompt actions, next-prompt previews, on-device voice where supported, and a downloadable MCP CLI for Codex and Claude Code.
Encrypted explicit-save prompt library, local semantic recall, authenticated local agent, GUI companion mode, browser native pairing, and broader desktop integrations.
Trusted publisher-signed installers, macOS notarization, and physical acceptance on macOS, Windows, Linux, x64, and ARM64.
Enterprise and public-sector design partners
We are evaluating possible controlled pilots for organizations that need local processing and reviewable data boundaries. No certified or production organization deployment is offered today.
Possible pilot scope
Evaluate a measurement policy, retention boundary, rollout plan, and support model. This is not a current production deployment offering.
Possible pilot scope
Evaluate mission constraints, local operation, auditability, and evidence needs. This is not a certified or authorized government deployment.
Plans
No credit card is required for the free plan.
Measure your own prompting practice.
Start freeDeeper coaching for an individual practice.
Possible enterprise and public-sector pilot scope; no current certified deployment.
Discuss a pilotAES is a 0–100 composite of six structural-signal dimensions: specificity, context, structure, iteration, efficiency, and output definition.
Raw prompt text is not treated as analytics. Local scoring can run on-device. If you explicitly request an AI rewrite or deeper model analysis, the prompt is processed for that request under a separate boundary.
Yes, as a checksummed developer preview loaded unpacked in Chrome or another Chromium browser. Local scoring and prompt actions work without an account; secure pairing, cloud sync, and public browser-store publication remain paused.
Yes on the locally accepted macOS path. Install the checksummed CLI, explicitly configure its local MCP server for Codex or Claude Code, restart the host, and invoke a tool to prove execution. Windows and Linux are packaged source-preview targets pending native host acceptance. cmux inherits host configuration; Measurably does not automatically read chat history, inspect panes, or submit prompts.
Not yet. The macOS, Windows, and Linux architecture is in active engineering validation. We will not call it released until trusted publisher-signed packages, macOS notarization, and physical platform acceptance are complete.
The desktop source candidate now has an explicit encrypted prompt library with keyword recall and optional semantic recall through a user-configured local Ollama or OpenAI-compatible embedding model. It never indexes prompts automatically, and it is not yet a trusted signed public download.
Not today. The repository is private and unlicensed. Any future community release remains gated on an approved license, governance, reproducible packages, and verified release artifacts.
We are evaluating possible design-partner pilots. No production organization deployment, government authorization, or compliance certification is offered today; possible scope and terms would be agreed per engagement.
Try the live score now, or talk with us about shaping the cross-platform community and organization releases.