Feature requests

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ATTN: COO - Gamma SAAS Revenue Multiplier
ATTN: COO – Gamma SaaS Revenue Multiplier Why This Matters Now User Retention: Power users won’t churn to Canva, Figma, or PPT if Gamma becomes their central styling engine. Gamma is strong at generating decks and simple edits—but when professionals need precision control (fonts, color tones, emotional styling, compliance formatting), it falls short. Today users must: Issue one edit at a time Guess supported commands without documentation Manually re-check and re-style large decks This creates friction, slows workflows, and limits Gamma’s ability to become the default enterprise design engine. Vision: Gamma as a Style Engine + Layout Director The unlock is clear: a Multi-Command AI Modifier Agent that executes 10–20 property changes per slide in a single prompt—cleanly, predictably, without errors. Instead of “guess-prompting,” users could transform entire slides or decks in one structured pass, with Gamma confirming execution via a pass/fail checklist. Current State (What Works Today) Content rewriting (grammar, tone, summarization) Background color changes via hex Smart layout variants (timeline, outlineBoxes, stats, etc.) Basic text styling (xs–xl, bold/italic, alignment) Callout box variants (info, warning, note, success, caution) Basic icon and button insertion Strong foundations—but lacking documentation, syntax clarity, and multi-command execution support. What’s Missing (Key Gaps) Documentation No property dictionary (CSS-like references) No gradient syntax/positioning spec Unknown smart-layout parameters Multi-Command Execution Breaks beyond 1–2 edits per prompt High failure rate mixing layout + styling Bulk Editing No way to apply 10–50 edits and get a success/fail log Feature Proposal AI Bulk Edit Mode Structured prompts should allow stacked edits, with results logged as ✅ / ❌ / 🔄. Example: Apply to Slide 4: Background: gradient #003366 → #36BBA6 Heading: xl, bold, center Body text: md, #2C2C2C Callout: info, #E0F7FA, icon=true Button: “Learn More”, solid teal Chart: pie, inline labels Padding: 20px, border-radius 8px, subtle shadow Property Dictionary / GML Guide Publish a reference including: gradients, smart-layout variants, typography scales, interactivity (buttons, callouts, charts), accessibility attributes. Use Cases Agencies: Standardize 50-slide decks in one pass Enterprises: Enforce brand guidelines deck-wide Educators: ADA compliance at scale Finance/Legal: Compliance-ready formatting instantly AI Workflows: ChatGPT generates allocator-ready slides Why Improve Saves hours of manual correction Builds trust through repeatable edits Elevates Gamma into a professional design system Attracts enterprise adoption Example Prompt (Vision of Success) “Gamma, update Slide 6 with: Gradient background (#0B2E4E → #36BBA6) Heading xl bold centered Body md #2C2C2C, line-height 1.5 Smart layout solidBoxes, cellsize 15 Chart horizontal-bar with inline labels Callout warning with icon Divider below callout Button ‘Learn More’, solid teal, linked Border-radius 8px, subtle shadow Return checklist of successes + unsupported edits.” This validation loop would make Gamma allocator-grade, turning it into a true design-ops platform. Example Workflow with API Integration User → ChatGPT: “Restyle Slide 6 with gradient, xl header, md body text, callout, divider, button, shadows.” ChatGPT → Gamma API: Bundles edits, sends structured request. Gamma → User: ✅ Gradient applied ✅ Header updated ❌ Drop shadow unsupported (fallback applied) Result: Slide fully redesigned in seconds, no trial-and-error. Strategic Impact Differentiation: Gamma = first true AI-native design system Enterprise Adoption: Guarantees consistency, compliance, control Ecosystem Play: Gamma as the rendering engine for AI pipelines (ChatGPT, Zapier, CRMs) User Retention: Stops churn to Canva, Figma, PPT Feature Request Summary Multi-command execution (10–20 edits per prompt) Checklist return (success/fail log) Property dictionary (layouts, gradients, typography, interactivity) API exposure for AI + enterprise integration 📩 Why It’s Urgent This unlocks Gamma as the AI → Design → API triangle: AI (ChatGPT) generates structured edit requests Gamma executes with precision + compliance API feeds enterprise workflows 👉 This positions Gamma not as a slide generator, but as the infrastructure layer for enterprise AI design ops. Community Feedback Note Your feedback board is good, Canny is awesome, but you need to build it out better. The primary feature here is the community-driven SaaS roadmap hub Respond.io has an amazing Canny setup. https://roadmap.respond.io/ This ensures you build what paying users actually want, not just what you announce next.
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