AutomatedPromptEngineering
You don't need to be a prompt engineer. Our Chrome extension acts as an invisible layer, automatically engineering your prompts for any LLM.
Invisible Layer
No new UI to learn. Just type normally in Claude, ChatGPT, or Gemini, and we engineer the payload silently.
Best Practices Built-In
We continuously update our enhancement rules based on the latest research from Anthropic, OpenAI, and DeepMind.
Local Privacy
All prompt enhancement and engineering happens locally on your machine before hitting the network.
Prompt Engineering Tool That Works Without Learning Prompt Engineering
The Best Prompt Engineers Don't Write Prompts Manually Anymore
Prompt engineering became a discipline because AI models are sensitive to phrasing, structure, and context. A well-engineered prompt produces a precise, useful response. A lazy one produces something you'll rewrite three times.
The problem: most developers don't have time to become prompt engineers. They have code to ship.
Sentry is the invisible layer that engineers the prompt for you.
No New Interface. No New Habit.
Promptive Sentry doesn't ask you to learn a new tool, open a new window, or change how you work. It sits inside the tools you already use (VS Code, Cursor, Claude.ai, ChatGPT, Gemini) and activates on a single keystroke.
You write your thought naturally. Sentry restructures it into a role-defined, constraint-aware, output-scoped prompt before it reaches the model. The AI gets a professional prompt. You get a better answer. Nothing about your workflow changes.
Built on Current Research, Updated Continuously
Prompt engineering best practices evolve as models change. What worked for GPT-3.5 does not optimally work for Claude 3.5 or Gemini 1.5. Sentry's transformation layer is maintained against current model behavior, so you are always sending prompts optimized for how the model actually works today, not six months ago.
Your Prompts Never Leave Your Machine
Sentry engineers your prompt locally before sending. No intermediate server sees your code, your context, or your intent. The enhancement happens on your device. What reaches the AI model is the structured output. Nothing else is logged, stored, or transmitted.
Privacy isn't a setting. It's the architecture.
Who This Is For
- Developers who want better AI output without studying prompt frameworks
- Teams where only some members know how to prompt effectively
- Anyone who's rewritten the same prompt four times and still got a generic answer
- Power users of Claude, ChatGPT, or Gemini who want to close the gap between what they mean and what the model understands