Capture & protect Secure approved AI interactions.Analyze & score Measure quality and efficiency.Improve prompts Coach developers with evidence.Govern & monitor Give leaders responsible visibility.
Enterprise prompt intelligence for development teams
Make every AI prompt work harder.
PromptReview connects organizations and developers through an IDE extension that captures approved AI interactions, analyses prompt quality, coaches developers, and converts usage into measurable engineering intelligence.
Improveprompt quality
Reducetoken waste
GovernAI usage
PromptReview · Engineering Intelligence
Live
WorkspaceEngineering Overview
Last 30 daysPrompt analysisScore 91
Refactor this service to improve...
92
88
82
Suggestion Remove repeated repository context and specify the expected output format.
Token usage−18%
MTWTFSS
Designed for AI-assisted engineering environments
VS CodeVisual StudioGit repositoriesEnterprise AI models
How PromptReview works
From every prompt to better engineering outcomes
PromptReview creates a continuous improvement loop between developers, AI models, and engineering leadership.
01
Organization signs up
Create a governed workspace, invite teams, and define who can view prompt intelligence.
02
Developers use the extension
Prompts are associated with the relevant project as engineers work in their IDE.
03
The prompt engine analyses
Measure purpose, quality, risk, model fit, repetition, and token efficiency.
04
Teams improve continuously
Developers receive coaching while leaders see the trends that improve delivery.
Built for developers and organizations
One platform. Two views of value.
Developers receive immediate coaching. Organizations gain the intelligence required to scale AI-assisted development responsibly.
- Real-time prompt scoreSee whether context, clarity, and expected output are strong enough.
- Actionable improvementReceive suggestions before repeated prompts consume more time and tokens.
- Personal progressUnderstand prompting strengths, recurring gaps, and improvement over time.
Extension connectedapi-services / checkout
Prompt sent to AI model14:32
Review the payment service and make it better. Also add tests and improve error handling.
67Prompt score
Improve before retry
Clarify the required outcome
Identify the target framework, expected test coverage, error categories, and output format.
Optimized versionEstimated token reduction: 24%
Review the payment service for reliability. Return: prioritized issues, refactoring plan, and tests covering failed transactions.
Prompt intelligence engine
Measure what matters—not just how many prompts were sent.
Turn raw interaction data into a structured understanding of engineering intent, quality, efficiency, and risk.
Prompt quality scoring
Analyse clarity, context, specificity, structure, and expected output.
Quality → ImprovementPurpose classification
Understand whether AI supports coding, debugging, testing, documentation, or architecture.
Intent → VisibilityToken optimization
Identify repeated context, unnecessary verbosity, and inefficient model choices.
Usage → SavingsRisk and security signals
Detect credentials, sensitive data, instruction override, and policy signals.
Risk → ProtectionReusable best practices
Surface high-performing prompt patterns and build organizational playbooks.
Learning → ScaleTeam benchmarking
Compare project trends constructively and focus coaching where it matters.
Data → CapabilityOrganization dashboard
AI Engineering Intelligence
Total prompts18,460↑ 14.2%
Avg. prompt score84.6↑ 8.4%
Estimated savings2.8Mtokens
Policy risks12Needs review
Quality and efficiency trend12 weeks
Prompt intentAll teams
Coding
38%
Debugging
27%
Testing
18%
Documentation
11%
Organization-level visibility
Convert AI usage into management intelligence.
Understand where AI creates value, where developers need support, and where token or security risks require attention.
01Improve engineering capabilityTarget coaching and learning using evidence from real work.
02Optimize AI consumptionReduce unnecessary retries, duplicated context, and inefficient model usage.
03Build responsible adoptionBalance developer productivity with transparent policy and governance.
Enterprise-ready by design
Govern without turning improvement into surveillance.
PromptReview is designed around transparent policies, role-based access, and configurable data handling so teams understand what is captured and why.
Configurable capture policiesSecrets and PII redactionRole-based accessProject-level controlsAggregated leadership viewsAudit-ready records
Start with the right workspace
Join as an individual or build an organization workspace.
Developers improve their own prompting. Organizations invite teams and analyse usage across projects.
Build better prompting habits from real development work.
Connect the extension, review prompt quality, track progress, and optimize token usage.
- Personal prompt score and coaching
- Prompt history and improvement trends
- Extension-created projects
Create a governed prompt intelligence workspace for your teams.
Invite developers, connect engineering projects, and convert AI usage into organizational intelligence.
- Team and project visibility
- Aggregated quality, risk, and token analytics
- Role-based access and governance controls
Already have an account? Sign in to PromptReview
Build a stronger AI-assisted engineering organization.
Start with prompt visibility. Progress toward better quality, lower token consumption, and responsible enterprise adoption.