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SPECIFICTION
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PromptWorks

github.com

WebAPISelf-hosted
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Spec score 6.9 #24 of 25 in AI Prompt Management Software

Spec sheet

Purpose
PromptWorks is a prompt management, batch evaluation, and AI-assisted optimization workspace for teams.Read 5 Oct 2026 · github.com
Intended users
The maker describes use cases including team prompt asset management, prompt regression testing, model selection, parameter tuning, and internal business assistants.Read 4 Oct 2026 · github.com
Deployment
The project documents Docker Compose deployment with a frontend, backend, PostgreSQL, and Redis.Read 5 Oct 2026 · github.com
API
The backend exposes endpoints including /api/v1/prompts, /api/v1/prompt-test, and /api/v1/llms.Read 5 Oct 2026 · github.com
Integrations
The setup documentation names OpenAI and Anthropic API keys for integrating those models.Read 5 Oct 2026 · github.com
Support
The project invites users to submit issues and suggestions through GitHub.Read 5 Oct 2026 · github.com
License
The GitHub repository identifies its license as Apache-2.0.Read 5 Oct 2026 · github.com
AI scoring
It scores test outputs on a 0–100 scale across dimensions such as accuracy, completeness, clarity, and stability.Read 4 Oct 2026 · github.com
Batch testing
It supports repeated evaluation runs across prompt versions, models, parameter sets, and test samples, with result comparison and progress tracking.Read 5 Oct 2026 · github.com
Data components
The documented default database is PostgreSQL, and Redis is used for caching or asynchronous tasks.Read 5 Oct 2026 · github.com
Model monitoring
It centrally manages model providers, model configuration, and invocation records for model selection, cost review, and A/B experiments.Read 4 Oct 2026 · github.com
Optimization
It can generate prompt rewrites, parameter and model suggestions, and validation plans from scoring results.Read 5 Oct 2026 · github.com
Platform support
Published Docker images are described as supporting linux/amd64 and linux/arm64 architectures.Read 4 Oct 2026 · github.com
Prompt lifecycle
It supports prompt creation, version iteration, tags, authorship tracking, and audit records.Read 4 Oct 2026 · github.com
Prompt scoring
It scores test outputs on a 0–100 scale and shows dimensions such as accuracy, completeness, clarity, and stability.Read 5 Oct 2026 · github.com
Security and trust
The README describes prompt change audit records and configurable CORS origins; it does not state a security certification or compliance standard.Read 5 Oct 2026 · github.com
Self-hosting
The maker documents running the application locally from source and provides Docker images for the backend and frontend.Read 5 Oct 2026 · github.com
Use cases
The maker describes use cases including team prompt libraries, regression testing, model selection, parameter tuning, and quality review.Read 5 Oct 2026 · github.com
Version comparison
Users can review version differences and save rewritten drafts as new prompt versions.Read 4 Oct 2026 · github.com
Version management
It supports prompt versions, tags, authorship information, audit records, and version comparisons.Read 5 Oct 2026 · github.com

Where Specifiction places it

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