AI Presentation Slides on Martini

Pitch decks live or die on visual cohesion. A founder building a 12-slide Series A deck for a Tuesday partner meeting needs every section divider, every hero slide, every concept illustration to share the same color script, the same composition language, the same level of polish. Twelve slides with twelve inconsistent images read worse than twelve plain text slides — the visual fragments suggest the company itself is unfocused. Most AI image tools produce one polished image per session and have no way to anchor the brand color script across twelve sequential slide visuals.

Sales engineers and demo teams hit the same problem at scale. A 30-slide enterprise demo deck for a Fortune 500 procurement meeting needs every concept illustration to feel like one brand — and the deck gets re-themed for every new client logo at the top. Without a canvas template that locks the style anchor and lets the per-slide concept prompt live as a separate input, every re-theme means rebuilding 30 images from scratch. The sales team ends up shipping mismatched stock photography because the AI workflow does not survive the iteration cadence.

And there is the in-slide text problem. Most AI image models still render headline text unreliably — a slide hero with the headline 'Our Market Is $8B' often comes back as garbled letterforms or drifting type. Real pitch decks handle headline and body text in Keynote, PowerPoint, or Google Slides; the AI image is the full-bleed background art that the text overlays. A workflow that pretends to render both image and text inside the model produces decks no one can read; the honest workflow separates the image layer from the text layer.

Martini anchors the deck identity once on the canvas. Drop the brand color script as a labeled image node — the founder's two-color palette, the agency's three-color campaign script. Drop the style reference (cinematic-tech, painterly-editorial, geometric-architectural) as another. Every section-divider, every hero slide, every concept illustration wires into both anchors plus the per-slide concept prompt. Twelve slide visuals fan from two locked anchors; the deck reads as one cohesive identity.

Multi-model fanout for the deck identity, single-model for the per-slide volume. For the title-card and section dividers — slides that headline the narrative — fan out across Ideogram (for the rare in-image text moment that has to render legibly), Imagen 4 (photoreal), Midjourney (editorial polish), Flux (high-detail), and GPT Image 2 (refinement). Pick the strongest visual identity from the fan-out. Lock that model as the deck template and run the remaining concept slides through it from the same anchors. The deck sales engineer ships next week is a per-slide prompt swap, not a from-scratch rebuild.

Downstream chaining handles the export workflow. Once the slide visuals land, chain into image-upscale for the high-resolution master that imports cleanly into Keynote, PowerPoint, or Google Slides. The headline text and body copy get layered in the slide app, where typography is reliable. Save the canvas as a deck template; future client meetings or quarterly all-hands inherit the deck identity and only swap the concept prompts. The deck-design grind compresses from days to hours.