PrompTessor is an AI prompt workspace for generating, analyzing, optimizing, refining, and saving reusable prompts. Turn ideas into structured prompts, evaluate quality with clear metrics and estimated token usage, improve existing prompts, and create prompt patterns from images, videos, text, or URLs with Reverse Prompt. Organize your best prompts in Prompt Library and use them with ChatGPT, Claude, Gemini, image and video generators, coding assistants, and other AI tools.

Key Features

• Prompt Generator Turn ideas, goals, tasks, briefs, visual references, and output requirements into structured, ready-to-use prompts.

• Prompt Analysis Evaluate prompts using an overall score, strengths, weaknesses, difficulty, suggested use cases, compatible AI models, estimated input and output token usage, and six quality metrics: clarity, specificity, context, goal orientation, structure, and constraints.

• Prompt Optimizer Improve existing prompts with clearer instructions, stronger context, better structure, useful constraints, and more reliable output requirements.

• Reverse Prompt Convert images, videos, text, and accessible URLs into reusable prompts by extracting their structure, style, intent, format, composition, movement, and other repeatable attributes.

• Prompt Refinement Revise existing prompts using specific feedback, such as changing the tone, format, length, detail level, audience, target model, or output direction.

• Prompt Library Save, organize, discover, share, and reuse prompts through private, community, and official collections with categories, model guidance, usage notes, examples, and visibility controls.

• Prompt History and Versions Review and manage generated, analyzed, optimized, and refined prompt versions without losing earlier iterations.

• Model-Agnostic Workflows Create prompts for ChatGPT, Claude, Gemini, image and video generators, coding assistants, writing tools, and other AI systems.

CodeHerald provides a new way to keep track of your code review queue, grouped by your next action needed.

When would you use CodeHerald?

• You work in a team that does code reviews.
• Your team receives ad-hoc code review requests via multiple channels: DMs, emails, bookmarks of filtered lists.
• Your team sometimes loses track of small pull requests, delaying them days.
• Your team find ad-hoc code review requests distracting, but cannot put a finger on why.
• Your team tried different strategies to improve code review process, and none of them felt right.

If any of the above is true, CodeHerald will help you.

What can CodeHerald do for you?

CodeHerald groups pull requests by next action: must review, needs an update, can be merged. It allows you to replace slack, emails, filters, and browser bookmarks with one single page that you can open at a glance and decide which PR to tackle next.