The facts, the audience, the tone, the words you refuse to use: you type them again from memory, slightly differently, on every task. Context Prompt Packager turns that brief into a structured prompt pack once, with guardrails, an output schema and an evaluation checklist, plus a ready variant for email, landing page, ad, social and chatbot.
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You know your product. You know the customer. None of it is written down anywhere the model can see, so every session starts with you improvising context from memory, and every session gets a slightly different version of it.
You fill in a plain brief. It assembles a seven-part prompt pack with the parts most people skip, using fixed local rules. No model call, no waiting, no API key.
Your facts become a numbered list the model may quote and nothing else. The pack tells it, in words, to write [NEEDS FACT] inline rather than invent a number, a name or a timeframe that you did not supply.
Your banned words plus a standing list of AI filler. No em dashes, no dramatic fragments, no rhetorical-question headlines, no stacked hedging. Paste in a good line and a bad line and the register is set by example.
A JSON schema shaped for the channel you picked, with field-level rules and length limits, so the response drops into your template or your script instead of being reformatted by hand.
The pack ends with a numbered checklist built from your own constraints, and instructs the model to fix its draft against every line before answering, then declare BLOCKED if an input is genuinely missing.
The same context re-pointed at email, landing page, ad, organic social and chatbot, each with its own reading context, its own rules and its own output shape. Written once, switchable instantly.
Save as many packs as you run campaigns, snapshot a version before a rewrite with a note, then restore, duplicate or fork it later. Edit any section by hand and regeneration leaves your edits alone.
Four of the seven sections from the built-in example brief, a warm-stage email sequence for an invoicing app.
Generated from the example brief that ships with the tool. Load it, change one field, and watch every section rebuild.
“Most bad AI output is not a model failure. It is a briefing failure, repeated daily because the brief lives in someone’s head. Writing it down once, with the rules attached, is the cheapest quality improvement available.”
No subscription, no seats, no usage credits. You buy the tool and it is yours.
No, and that is deliberate. It writes the prompt: the context, facts, constraints, output shape and self-check that you then paste into whichever model you already use. There are no API calls, no keys to add and no usage charges, because the tool never talks to a model at all.
Any chat model that accepts a long text prompt. The structure is plain text with a JSON schema block, which is what every current assistant expects. Nothing in it is specific to one vendor.
Every section is a text box. Edit one and it is marked as yours, so pressing Regenerate after a brief change rebuilds the untouched sections and tells you which of your edits it kept. Reset a section to hand it back to the generator.
In your browser’s local storage, on the device you are using. Nothing is uploaded and there is no server holding it. That also means clearing your site data deletes them, so download the JSON for anything you want to keep or move to another machine.
It is the exact shape you want back: field names, types, order and limits. Without one, the same request returns prose on Monday and a bullet list on Tuesday. With one, the response drops straight into your template or your script. The tool writes a schema per channel, and the help panel explains when to ask for JSON only.
Yes. The layout stacks to a single column on narrow screens, and it installs to your home screen as an app that runs offline.