What AI deck tools got right in 2026 — and what they're still missing
The first wave of AI presentation tools nailed one half of the problem. Here's what we think the second half looks like.
By mid-2026, the AI deck-generator space is crowded. A dozen tools can take "Q3 growth pitch" and produce something passable in thirty seconds. Some of them are genuinely good at it. We watch them carefully, because they got real things right.
We also think the category, as currently shaped, is solving the easy half.
What this wave got right
Three things, broadly.
One: AI can structure a deck. Pick the right layout per section. Group related points. Suggest a title that actually fits the body. These are real cognitive tasks that used to take a designer or a careful writer. The first wave of tools proved it can be automated for the 80% case.
Two: Generated decks can look good. Type hierarchy, spacing, image placement — all of this is style knowledge that AI can apply consistently. The result is decks that don't look like the consultant-template wasteland of 2018.
Three: Speed matters. Going from "I need a deck" to "here's a draft" in seconds changes how people think about making them. Lower the cost of starting, more decks get attempted, more arguments get made visible.
Take any of those seriously and the first wave of AI deck tools is real progress.
What's still missing
1. The output is still a file
Most AI deck tools produce a .pptx or a PDF. You download it. You attach it to email. You wait for someone to open it, find a font wrong, ask for an edit. You make the edit. You re-send. The AI helped with the first 30 seconds. It can't help with the next thirty minutes.
The artifact is the bottleneck, not the writing.
2. Editing is hard once the deck exists
Most tools either lock you in their visual editor (where AI's help drops off) or hand you the source as something resembling markdown but laced with proprietary tags. Either way, the round-trip "edit one sentence, regenerate" loop is friction- heavy.
We think the right unit of edit is a sentence, not a slide. And the right source is a format AI reads natively.
3. They make decks. Just decks.
Most of your work isn't only a deck. It's a deck plus a one-page memo plus a numbers table you keep referring to. These are three artifacts, but they're describing the same underlying thinking.
Today, you produce them in three different tools, copy-paste across them, and try to keep them in sync. That's where Plain diverges: a workspace where decks, docs, and dashboards all share the same underlying source, and editing one updates the cross-references in the others.
4. Visual sameness
Browse the showcase reels of any AI deck tool and you'll see the same five looks. Black-on-white minimalist. Soft pastel. Bold sans-serif statement. Why? Because "create your own theme" always ends here. Design taste is genuinely hard to encode in a slider.
We took a different path: eight curated design philosophies, each a complete system — typography, color, motion, layout. AI picks which one fits the topic, and holds the line through every section. The result isn't a "theme picker" but a stylistic commitment per artifact.
The category we want to be in
AI deck generator is a real category, and we're not pretending we're not in it. But we want to compete on different axes than most:
- Delivery: link first, file as fallback
- Surface area: decks + docs + dashboards in one workspace, cross-referenced
- Editability: sentence-level, AI- and human-friendly source format
- Design: chosen philosophy per artifact, not a slider
- Integration: MCP server so your existing AI agents (Claude Code, Cursor, Codex) can ship artifacts mid-task
We think those things matter more than the first 30 seconds. The first wave of AI deck tools proved the first 30 seconds is solvable. We're going for the next thirty minutes.