Your product datacomes to life, powered by AI.

Starting a print or screen design means knowing the right dimensions, resolution and colour profile — a technical barrier before you've placed a single element.

1. Choose a ready-to-use format (A4/A3 print, 4K/1080p screen, social 1:1, 4:5, 9:16) or enter your dimensions to the mm or pixel.
2. Set the background: solid, gradient or starting image.
3. The canvas opens straight in the editor, calibrated to 300 DPI / CMYK for print.

A canvas built to the right standards in seconds, with no template to hunt for and no manual setup.

Excerpt from the built-in manual (the "?" button in the app) — "Getting started" section.

Your existing files (InDesign, PowerPoint, PDF) are locked inside their software. Reopening them elsewhere flattens them into an image or breaks the layout.

1. Drop in an IDML, PPTX, SVG, PDF, image or Excel file.
2. The parser rebuilds layers, styles, fonts and layout identically — not a frozen snapshot.
3. For images and PDFs, the AI breakdown (Google Vision) separates text, shapes and visuals into editable layers.

Your documents become editable block by block again, without having to recreate them.

Excerpt from the built-in manual (the "?" button in the app) — "Import" sections by format.

Consumer editors ignore the constraints of printing; pro tools demand heavy software installed on a specific workstation.

1. Handle layers, text, shapes, colours and alignment in the browser, with undo/redo.
2. Turn on crop marks, bleed and safe zone, in 300 DPI / CMYK.
3. Call up generative AI and data merge right in the workspace.

The simplicity of a Canva with the demands of a printer — and nothing to install.

Excerpt from the built-in manual (the "?" button in the app) — "The editor" section.

Finished files scatter across drives and Drives. There's no way to quickly find, or reuse, a past design.

1. All your projects are gathered in one place, as thumbnails or a list.
2. Filter them by taxonomy to browse entire catalogues.
3. Duplicate, select in bulk or delete in batches, or reopen in the editor with one click.

Output that's tidy, accessible and reusable — no more lost files.

Excerpt from the built-in manual (the "?" button in the app) — "Getting started" section.

Logos, packshots and approved visuals circulate by email in multiple versions. You never know which one is right, or where it is.

1. Centralise all your media in a single DAM, synced with Google Drive.
2. Search, filter and preview your assets.
3. Insert them straight into the editor or a workflow.

A single source of truth for your visuals, shared and always up to date.

Excerpt from the built-in manual (the "?" button in the app) — "DAM" section.

Producing a clean product visual — packshot, mood shot — requires a photo studio or a designer, and that for every variation.

1. Describe the image you want in natural language, with a DAM product as reference.
2. AI Visual generates several variants according to the chosen style.
3. Select the format and send the result to the editor.

Custom visuals in seconds, with no shoot and no cutting out.

Excerpt from the built-in manual (the "?" button in the app) — "DAM › Image creation" section (AI Image engine / Gemini 3.1 image).

Product data lives in scattered Excel files, quickly outdated and never really ready for layout.

1. Create multiple databases and import your Excel / CSV catalogues.
2. Add bespoke columns or formula-calculated fields (ROUND, IF, CONCAT, operations on other columns), and link each sheet to your taxonomy.
3. Let URL-scraping enrichment fill in specs, descriptions and prices.

A structured product repository, up to date and directly usable in mail merge.

Excerpt from the built-in manual (the “?” button in the app) — “PIM” section.

Without a shared tree, projects and products can't be found: each team organises things its own way.

1. Build N-level taxonomies (families, ranges, aisles).
2. Link projects and product sheets to them.
3. Filter the library and PIM by node, and attach briefs per category.

A shared classification that makes your entire catalogue navigable.

Excerpt from the built-in manual (the “?” button in the app) — “Taxonomies” section.

Every supplier site has its own structure; cleanly extracting the data from it usually requires bespoke development, site by site.

1. Define a scraping template: selectors, key/value fields, tabs and sections.
2. Map each area of the page to your PIM columns or your DAM assets.
3. Reuse the template across all the URLs of the same supplier.

Reliable, repeatable collection, without coding a parser per brand.

Excerpt from the built-in manual (the “?” button in the app) — “Product scraping” section.

Manually re-typing specs, prices and photos from supplier sites is slow, tedious and riddled with errors.

1. Paste one or several product URLs.
2. The engine (Jina + AI + structural extractor) reads the page, with anti-bot escalation if needed.
3. The text goes to the PIM, the images to the DAM — automatic routing, taxonomy inferred from the breadcrumb.

Complete product sheets in minutes, data and visuals filed in the right place.

Excerpt from the built-in manual (the “?” button in the app) — “Product scraping” section.

Monitoring the prices of dozens of competitors by hand is impossible: assortments differ, references don't line up, and a price can drop overnight without you noticing.

1. Provide your source catalogue (a listing page, an Excel file or a Google Sheet) and one or more competitor pages.
2. The engine matches each product by EAN, then model code, then normalised name, scrapes the real prices (anti-bot escalation) and computes the gap & position.
3. A Price watch node remembers the previous reading and only alerts if a price has changed beyond a threshold.

A positioning table kept up to date on its own, and an alert the moment a competitor slashes a price — so you can react before your customers do.

Excerpt from the built-in manual (the “?” button in the app) — “Price monitoring” section.

Adapting a poster for 200 references means 200 manual copy-pastes — a source of omissions, mistakes and inconsistent versions.

1. Insert {{ variable }} fields in the layout (price, label, image).
2. Connect a database from the PIM.
3. Automatically generate one variant per row, with a preview.

Hundreds of personalised visuals from a single template, error-free — and the same visual adapted to every format.

Excerpt from the built-in manual (the “?” button in the app) — “PIM › data merge” and “Export › batch” sections.

The scrape → enrich → compose → export → distribute chain strings together several tools by hand, to be redone in full for every campaign.

1. Connect the app's modules as nodes (Zapier/Make-style), without code.
2. Or describe the need in natural language: Prompt-to-Flow generates the complete graph.
3. Run it: the workflow executes each step end to end.

Your production chains run on their own, from brief to deliverable.

Excerpt from the built-in manual (the “?” button in the app) — “Workflows” section.

Launching a production means opening the app on a workstation — impossible to trigger from a phone, on the move.

1. Send a command or message to the Telegram bot.
2. An AI generates then runs the corresponding workflow.
3. The resulting file comes back to you in the conversation.

You control your graphics chain from your pocket, with a simple message.

Excerpt from the built-in manual (the “?” button in the app) — “Telegram” section.

Turning a still visual into a video for social media requires motion-design software and real production time.

1. Describe the animation you want.
2. The HyperFrames engine composes a deterministic HTML video (titles, transitions, audio sync).
3. Export to MP4 / WebM ready to publish.

Animated videos generated from your content, without After Effects.

Excerpt from the built-in manual (the “?” button in the app) — “Animation” section (HyperFrames, self-contained HTML animations).

Writing hooks, descriptions and variants on the fly slows down creation and breaks the workflow.

1. Open the AI chat, in text or image mode (AI Visual).
2. Ask for hooks, rewrites or visuals.
3. Reuse your library of saved prompts.

An integrated creative copilot, to produce and iterate without leaving the app.

Excerpt from the built-in manual (the “?” button in the app) — “AI Chat” and “Briefs & AI generation” sections.

Each channel demands its own format: print PDF, social image, PowerPoint, web — as many manual exports to set up one by one.

1. Choose your output targets.
2. The export automatically applies crop marks, bleed and profiles depending on the channel.
3. Retrieve all the files from a single source, with reusable presets.

One creation, every medium — meeting the standards specific to each destination.

Excerpt from the built-in manual (the “?” button in the app) — “Multi-format export” section.

Giving the whole team access without control exposes product data and sensitive settings to unwanted changes.

1. Define roles and per-module permissions.
2. Invite users; new ones arrive pending.
3. Grant, restrict or block access, finely, down to the sub-action.

Everyone sees exactly what they should, your data stays protected.

Excerpt from the built-in manual (the “?” button in the app) — “Users & roles” section (owner only).

Wiring up your own AI keys, budgets and preferences case by case quickly becomes opaque — and risky if a key leaks.

1. Enter your LLM keys and configure the model cascade per task.
2. Set budgets and preferences, synced per user.
3. Track LLM usage live.

A platform in your hands, controlled and on budget.

Excerpt from the built-in manual (the “?” button in the app) — “Settings” section.

A growing database becomes opaque: you no longer know which collections exist, how they connect, or what they actually contain — without opening the Firebase console.

1. Open Settings → Data: the schema is drawn as an ERD (tables, fields, PK / FK, 1:1 / 1:N cardinalities).
2. Rearrange the tables by dragging — the layout is persisted; the business links are emphasised.
3. Double-click a table to display its live data (onSnapshot), choose a database and filter.

A living map of the whole platform: you understand the structure and inspect the real data in the same place.

Excerpt from the built-in manual (the “?” button in the app) — “Data” section.