Most AI slide tools throw text into a generic layout and call it a deck. veilSense fills your corporate .pptx template — the one with your brand, your master slides, your approved layouts — with AI-authored content that lands in real shapes, real tables, and real charts. The output is a .pptx your design team would sign off on.
Map each shape in your template once — the AI fills it every time you generate. No re-mapping, no drift.
The LLM writes into the shape's exact text formatting — titles, body copy, callouts — matching your template's font, size, and color.
Bullet character, indent level, and paragraph style are preserved item-for-item, however many bullets the AI generates.
A real table shape, not a screenshot. Admins set max rows/columns; the LLM fills a 2D grid and unused trailing rows or columns are trimmed automatically.
Renders Mermaid/PlantUML diagrams from your chat history straight into a slide, or drops in a generated or uploaded image.
One shape becomes N — repeating rows of bullets, cross-table matrix cells, or a paginated agenda with chapter dividers and lettered sub-items.
Builds and paginates a table of contents from your actual slide structure — chapter titles, page numbers, and all.
Mapping a template used to mean guessing shape names from a list. Now you click directly on the real slide thumbnail — a pin marks each mapped block, a docked inspector shows its settings, and a layer rail lists every shape on the slide.
If a diagram fence shows up anywhere in your thread history, the PowerPoint Generator renders it server-side and drops it straight into the deck as a crisp image — no manual export from a diagramming tool required.
Every image that flows through a deck — generated, uploaded, or diagrammed — is content-hash deduplicated in a shared pool. Regenerate a deck ten times and you don't end up with ten copies of the same logo bloating the file.
A "Suggest roles" button reads your template's shape names and proposes a block mapping to start from. And because PowerPoint has no native reflow, a callout can be told to shift down based on how many bullet items actually rendered above it — so a 3-item list and an 8-item list both look intentional.
Real corporate .pptx files carry years of quirks — think-cell objects, orphaned outline bookmarks, embedded OLE data. The generator is hardened against them.
Legacy embedded objects that used to corrupt the output file are stripped safely instead of breaking the deck.
Templates with an Outline-view bookmark can defeat naive slide removal — handled by stripping the bookmark before load.
SVG-backed icon shapes render reliably instead of silently disappearing from the output.
Paginated tables of contents and agendas don't duplicate slides on repeated generation.
Set it up once. Generate as many decks as you need afterward.
Your organization's actual .pptx — brand, master slides, and approved layouts, exactly as your design team built them.
Click shapes on the real slide, assign block kinds, or start from AI-suggested roles. Export the block set as JSON to reuse it in another workspace.
AI fills every block from your Brain and chat context. Review the result, tweak anything, and export a real .pptx.
Map your template once. Let AI do the tedious part — every time, on-brand, in a real .pptx.