AI prompt tools
Prompt engineering tools, built on one engine.
Analyze, optimize, secure, test, and evaluate prompts with 20 documented rules across8 quality dimensions and 18 sensitive-data detectors. Every tool is deterministic and free, and none of them calls a language model.
Tools
What you can do with a prompt
Five capabilities, all available in the web workspace and through every integration below.
Prompt Analyzer
Find ambiguity, missing context, conflicts, and wasted tokens in any prompt.
Prompt Optimizer
Cut tokens and add structure, with proof that every requirement survived.
Prompt Security
Detect injection phrases, leaked secrets, and personal data, then redact them.
Prompt Testing
A CI gate for prompt files: quality bar, token budget, and severity threshold.
Prompt Evaluation
A published scoring formula across eight dimensions, with version comparison.
Integrations
Where you can use it
The same engine runs in your browser, your editor, your agent, and your own code, so a prompt gets the same result everywhere. The web workspace needs nothing installed.
Chrome Extension
Optimize and improve prompts directly inside your browser.
VS Code Extension
Bring PromptFlowEngine prompt optimization directly into your development workflow.
MCP
Connect PromptFlowEngine with AI agents and MCP-compatible workflows.
HTTP API
Integrate prompt analysis and optimization directly into your applications.
Which tool for which job
| If you need to | Use |
|---|---|
| Find out why a prompt gives inconsistent answers | Prompt Analyzer |
| Cut the token cost of a prompt that runs often | Prompt Optimizer |
| Stop keys and personal data reaching a model | Prompt Security |
| Block bad prompt changes in pull requests | Prompt Testing |
| Decide which of two prompt versions is better | Prompt Evaluation |
| Improve prompts inside ChatGPT, Claude, or Gemini | Chrome Extension |
| Build prompts from your codebase in the editor | VS Code Extension |
| Let an AI agent check its own prompts | MCP |
| Call the engine from your own application | HTTP API |
How these tools differ from model-based prompt tools
Deterministic
Results come from documented rules, so the same prompt always gets the same findings and score. See how the engine works.
Verified rewrites
An optimized prompt is accepted only if every original sentence and requirement is still present.
Private
The workspace, CLI, MCP server, and extensions run locally. Read the privacy model.
Honest about scope
The engine checks the prompt, not the answer. It does not run prompts against a model, and it says so.
Learn prompt engineering
The tools apply ideas explained in the knowledge center.
- Knowledge centerPrompt engineering guidesFundamentals, techniques, security, agents, and model guides.
- GuidePrompt engineering guideA step-by-step method for writing a prompt that works every time.
- GuidePrompt engineering techniquesWhen to use each technique, with examples.
- TemplatesPrompt templatesProduction prompts that pass every check.
Paste a prompt. See what it is really asking for.
No sign-up. The analysis runs in your browser.