Drafts a content strategy for your new business, product, book or just about anything. Helps streamline the creation, organization, and distribution of relevant content, complete with a step-by-step workflow to ensure consistency, clarity, and measurable results
Photographs the entire page and lets the vision model actually look at it, so pictures, charts, diagrams and layout count as content instead of being lost the way a plain text extraction loses them. You choose how deep the walk should go and whether it starts at the top or at the current position, and the command then walks the page downwards one screen at a time, which is also what makes a lazy page load its next chunk, so loading and photographing are the same movement. Ten frames travel together in one vision request, and the walk stops by itself at the bottom or at the ceiling you picked. Before a single request is spent you see the exact number of frames and requests and can still stop. One question then asks whether the reading should follow any instructions of your own - a one to one rebuild with fonts and colours, text only without the pictures, anything you type - and whatever you type takes precedence over the format and is carried out on the finished record as well; skipping it reads the whole page in full detail, every word transcribed and every picture described. Every reading is verified: an empty segment is retried, then photographed again and read with a plainer prompt, and only then marked as a visible gap, so a failure is never a silent hole. The frame readings merge into one continuous record. When that record outgrows a single request it is never rewritten smaller: it is indexed into passages cut on frame seams, and you choose between sending every frame in one pass or letting each request draw only the passages it needs, selected by lexical search over that index and delivered with the frame every passage came from named beside it. Both are free. Under retrieval every answer carries frame citations, and every quote is then located in the record, restored to its exact wording, re-pointed at the passage it truly sits in, and dropped if it cannot be found, with numeric, negation and modal guards that catch a claim which kept the words and reversed the meaning. The record answers everything: a quick summary, a long-form or structured report, a visual analysis, a data extraction of every table and chart, a UI audit, a full markdown rebuild of the page, an inventory of links and actions, verbatim citations, a translation, an export, a handover to another command, or anything else you type into the same menu as a free instruction or question. PDFs are handled by page: the page count is read out of the viewer for free where possible, and every page is photographed in turn. Each finished segment reports itself with one compact progress line, so a long page is never a minute of silence. Everything is written in the output language chosen at the start.
This workflow transforms any provided text into a polished, cheatsheet-style lecture note in markdown format. It starts by asking for content, then uses a GPT-driven module to generate detailed lecture notes complete with equations, code examples, and image placeholders. A subsequent JavaScript step cleans up formatting issues before the final result is exported as a markdown file. Perfect for educators and students looking to convert raw text into structured, shareable notes.