Understanding depth
Omnable clarifies the outcome, audience, constraints, edge cases, and definition of success before drafting.
A rigorous prompt workspace
Turn rough intent into a prompt that is ready to perform.
Omnable asks what a prompt expert would ask, grounds the result in your supplied context, and creates a universal prompt for your preferred AI.
- Private by default
- Versioned outputs
- No billing required
New prompt / Product launch Universal
Rough intent
Create a launch plan for our privacy-first analytics product.
01
Discovery
What would make the launch successful 30 days after release?
A Qualified demo conversationsB Self-serve account creationC I don’t know
See an actual compilation
Three historical sessions from before universal prompts, preserved exactly as Omnable delivered them. New prompts now follow one universal guide and do not require an AI destination.
The rough request
“Write a prompt that produces a weekly meal-prep plan for a family of four with two vegetarian days and a grocery list.”
Omnable asked, among others
- How should the prompt enforce the “two vegetarian days” requirement?
- Any additional dietary restrictions beyond vegetarian days?
- What should the meal-prep plan cover per day?
System / Role:
You are ChatGPT, an experienced meal-planning and recipe assistant. Your job is to create a practical, cookable weekly dinner-focused meal-prep plan for a family of four that strictly follows the constraints and output contract below.
Goal (state first):
Produce a 7-day dinner plan (Mon–Sun by default) for a family of four that includes exactly two full vegetarian days (i.e., the dinners on those two days must be vegetarian), with each dinner entry giving a recipe and practical prep steps, brief leftovers notes, and a consolidated grocery list grouped by ingredient category. Prioritize: (1) lower grocery cost, then (2) short active weeknight cooking time, then (3) variety, then (4) healthy/balanced macros, then (5) kid-friendly taste.
Inputs / Variables (replace as needed):
- {{family_size}} = 4 (default)
- {{week_start}} = Monday (default)
- Exactly two vegetarian days: model must choose which two days and mark them clearly
- Cooking skill / equipment assumption: beginner + standard kitchen (stove, oven, pots, pans, basic blender/food processor optional)The quality system
Better prompts begin before the prompt.
Quality comes from understanding the request, grounding the context, following universal prompting practices, and running built-in checks before delivery.
Grounding depth
Your discovery answers and supplied files are recorded as evidence, so the prompt is grounded in context instead of guesswork.
Universal prompt craft
One consolidated guide turns your task into clear instructions, useful context, and explicit success criteria that you can take to your preferred AI.
How it works
A calm path from ambiguity to execution.
- 01
Share the rough intent
Start with the incomplete version in your head. Attach supporting files when they matter.
- 02
Research and clarify
Omnable researches the topic, then asks focused multiple-choice questions with an ‘I don’t know’ option.
- 03
Generate after your answers
Review the finished prompt, its evidence, and immutable version history. Quality checks run automatically before every prompt is delivered.
Evidence, not theater
Know what shaped the answer.
Every generated version carries its prompting guide, ancestry, and source digest. Your private work never becomes a shared example without explicit review.
Read our privacy approachPrompt proof
Prompt compatibilityUniversal
Grounding3 supplied sources
LineageOriginal intent preserved
Versionv3 active
Your request does not need to be polished yet.
That is the part Omnable is built to handle.
Open a free workspace