PPPromptProof

Prompt reliability workbench for AI automation teams

Stop guessing whether your prompt got better.

PromptProof audits messy system prompts, finds prompt debt, compiles cleaner versions, and proves improvements with eval-style reports.

Demo mode uses sample audit data. Built for agencies and teams that need defensible prompt changes before clients or users find regressions.

Sample audit fixture

Messy prompt

37 rules

You are a sales research agent. Be concise but very detailed.

Return only JSON, but explain your reasoning clearly.

Never ask questions. Ask when information is missing.

Avoid generic language. Be specific. Do not be vague.

Diagnosis

Prompt Debt Score

72 -> 31

Conflicts Found

4

Redundant Constraints

9

Eval Pass Rate

61% -> 78%

Optimized + Eval Proof

# Output Contract

Return JSON with fit_score, signals, risks, outreach_angle, and rationale.

Original61%Compiled78%
3 pass1 partial1 regression

The problem

Longer prompts are not the same as better prompts.

Most production prompts do not fail because they are too short. They fail because they collect prompt debt: duplicated rules, vague constraints, hidden conflicts, and instructions nobody can test.

Abstract prompt debt map showing tangled instruction fragments reorganized into a cleaner contract

Over-constrained prompts

Rules get added after every bad output until the model has no clear priority structure.

Hidden conflicts

"Be concise" and "explain everything in detail" live in the same prompt and nobody notices.

No regression checks

Version B feels better in one demo, but breaks three edge cases you forgot to test.

Unprovable improvements

Clients ask whether the new prompt is better. You only have vibes.

How it works

From messy prompt to tested prompt contract.

PromptProof treats prompt improvement like a compiler pipeline: decompose the input, resolve the contract, run cases, and export the proof.

1. Diagnose

Split instructions

Split your prompt into atomic instructions and classify what each rule is supposed to prevent.

2. Compile

Resolve the contract

Merge redundant constraints, resolve conflicts, and rewrite vague instructions into a cleaner prompt structure.

3. Evaluate

Run paired cases

Generate realistic test cases and compare original vs optimized outputs.

4. Prove

Export the audit

Export a report with scores, regressions, diffs, and the final optimized prompt.

Product preview

A prompt audit that shows its work.

PromptProof does not just rewrite text. It explains what changed, why it changed, and whether the result held up in tests.

Open sample workbench

Sample audit only. The preview uses fixed demo data and makes no backend request.

Use cases

Built for prompts that actually matter.

The first version focuses on long prompts that sit inside client work, internal automation, extraction, support, RAG, and agentic workflows.

AI automation agencies

Audit client-facing prompts before they break in production.

Sales research agents

Reduce generic outreach, hallucinated claims, and inconsistent formatting.

Support bots

Test policy adherence, escalation behavior, and uncertainty handling.

Extraction workflows

Catch schema failures, missing fields, and fragile JSON instructions.

Coding agent instructions

Clean up long system prompts and tool policies without losing intent.

RAG answer bots

Detect vague citation rules, hallucination risk, and missing fallback behavior.

Metrics

Measure the parts of prompting people usually hand-wave.

The report makes prompt quality visible through concrete debt, density, testability, regression, and before/after metrics.

Prompt Debt Score

7231

How much clutter, conflict, and low-utility instruction load your prompt carries.

Decision Density

42%71%

How much of the prompt actually helps the model make better decisions.

Constraint Testability

38%67%

How many rules can be checked instead of merely hoped for.

Regression Rate

8%visible

How often the optimized prompt loses against the original.

Before/After Delta

+17pts

The measurable performance difference between two prompt versions.

Differentiation

Not another prompt generator.

A generator can rewrite your prompt. PromptProof keeps the original, diagnoses its failure modes, and shows the cost of the rewrite.

FeaturePrompt generatorPromptProof
Rewrites your promptYesYes
Finds prompt debtNoYes
Detects conflictsRarelyYes
Explains every changeRarelyYes
Generates eval casesNoYes
Compares original vs optimizedNoYes
Shows regressionsNoYes
Exports client-ready reportNoYes

Pricing

Start with a free prompt debt audit.

Simple MVP plan previews for audit volume, eval depth, and report export. Billing is disabled on this demo.

Free

Start with a prompt debt audit and a small eval set.

$0

  • 3 prompt audits
  • 5 eval cases per audit
  • Basic diagnosis
  • Copy optimized prompt

Pro

For builders shipping repeatable client or internal workflows.

Builder pick

$49/mo

  • 100 audits per month
  • 20 eval cases per audit
  • Before/after reports
  • Prompt version history
  • Export reports

Studio

For small teams and agencies that need client-ready reports.

$199/mo

  • 500 audits per month
  • 50 eval cases per audit
  • Client-ready reports
  • Shared report links
  • Priority roadmap input

Plan limits are a preview for the MVP demo. Checkout and billing are not live yet.

FAQ

Honest boundaries, useful proof.

PromptProof reports scoped results instead of pretending one rewrite is universally better.

No. A generator gives you a new prompt. PromptProof diagnoses the old one, explains what changed, creates eval cases, and compares both versions.

Final check

Find out what your prompt is really carrying.

Preview the audit flow with sample data, then connect the backend later for real prompt analysis.

Abstract audit report object with score blocks and diff-like panels