ИИ-агент дизайна

Проблема

Product shoots are expensive and slow. You need 10+ lifestyle shots per SKU across seasons and platforms.

Решение

Upload one product photo. The AI generates styled backgrounds, lifestyle scenes, and platform-optimized crops in minutes.

Что даёт

• Studio-quality shots without a studio
• 10x faster than traditional photography
• Consistent brand aesthetic across all SKUs
• Instant seasonal and promotional variations

Как запустить

1. Upload product images. Upload clean product photos. The AI removes backgrounds automatically.
2. Define brand style. Choose or describe your scene aesthetic: minimalist, lifestyle, outdoor, etc.
3. Generate and export. The agent produces styled images in multiple formats. Review, adjust, and export to your store.

Инструменты: Photoroom, Midjourney, Canva Magic Studio

Проблема

Performance marketing requires constant creative testing. Designers can't keep up with the volume of variations needed.

Решение

Describe your campaign. The AI generates 20+ ad creative variations across sizes and platforms. Test more, find winners faster.

Что даёт

• Test more creative variants
• Platform-optimized sizing automatically
• Consistent brand identity across all ads
• Designers focus on strategy, not resizing

Как запустить

1. Set brand assets. Upload logos, brand colors, product images, and fonts.
2. Describe the campaign. Provide the offer, target audience, and tone. The AI generates creative variations.
3. Export and test. Download platform-ready assets. Launch A/B tests and iterate on winners.

Инструменты: Canva Magic Studio, Midjourney, Figma AI

Проблема

Design teams bottleneck on high-volume asset requests: 20 social graphics, 15 ad variations, email templates for every campaign. Each request follows the same brand system but still takes manual work.

Решение

The AI agent learns your brand guidelines (colors, fonts, layouts, imagery style) and generates asset variations on demand. Marketers request what they need; the agent produces options for review. Design teams approve and refine rather than create from scratch.

Что даёт

• 10x faster asset production
• Consistent brand application at scale
• Designers focus on creative direction, not production
• Self-serve for marketing teams

Как запустить

1. Upload brand guidelines. Provide your brand kit: logos, colors, fonts, approved layouts, and imagery style references.
2. Define asset templates. Create base templates for common formats: social posts, ads, email headers, presentations.
3. Generate and approve. Request assets by describing the need. The agent generates variations. Approve, edit, or regenerate.

Инструменты: Canva AI, Adobe Firefly, Midjourney

Проблема

Marketing teams constantly need visual assets but designers are bottlenecked on higher-priority work. Routine asset requests queue up and slow down campaigns.

Решение

The AI agent learns your brand system and generates assets from natural-language requests. Marketers describe what they need; the agent produces options in the correct sizes, colors, and typography. Designers review and approve rather than create.

Что даёт

• Self-serve asset creation for marketing teams
• Consistent brand application without designer oversight
• Minutes instead of days for routine assets
• Designers freed for strategic creative work

Как запустить

1. Upload brand guidelines. Provide logos, colors, fonts, imagery style, and layout templates. The agent learns your visual identity.
2. Request assets. Describe what you need in plain language: 'LinkedIn post announcing our webinar' or 'Email banner for spring sale.'
3. Review and use. The agent generates options. Select, customize if needed, and download in the correct format and size.

Инструменты: Canva AI, Adobe Firefly, Figma AI

Проблема

Design systems degrade over time. Components drift from specs, teams create one-off variations, and documentation falls behind. Manual audits are infrequent and incomplete.

Решение

The AI agent scans your Figma files and codebase for design system violations: incorrect colors, non-standard spacing, outdated components, and undocumented variations. It generates audit reports and suggests fixes.

Что даёт

• Continuous design system compliance monitoring
• Catch component drift before it compounds
• Automated documentation updates
• Consistent UI across teams and products

Как запустить

1. Connect design tools and code. Link your Figma workspace and component library. Optionally connect your frontend codebase for cross-checking.
2. Define system rules. Set which tokens, components, and patterns are canonical. Define tolerance levels for variations.
3. Monitor and fix. The agent runs audits continuously, flags violations, and suggests fixes. Review reports and update the system.

Инструменты: Figma AI, Zeroheight, Storybook

Проблема

UX copy is chronically under-resourced. Designers write placeholder text like 'Click here' or 'Error occurred' that ships unchanged to production. Dedicated UX writers are rare and bottlenecked, reviewing copy for dozens of features simultaneously. The result is inconsistent voice and tone, unclear error messages that increase support tickets, and onboarding flows with generic text that fails to guide users effectively.

Решение

The AI agent connects to your design tool and codebase, scanning every text element for placeholder copy, inconsistencies, and improvement opportunities. It generates contextually appropriate microcopy that matches your brand voice guidelines—writing clear error messages with recovery actions, descriptive button labels, helpful tooltips, and engaging empty states. It can also generate localized variants and propose A/B test alternatives for high-impact copy.

Что даёт

• Eliminate placeholder copy shipping to production with automated detection and replacement
• Consistent brand voice across every screen, modal, and error state
• Generate localized UX copy in 20+ languages from a single source string
• A/B test alternative microcopy variants to optimize conversion and comprehension

Как запустить

1. Define voice and tone guidelines. Input your brand voice documentation, style guide, and glossary. Provide examples of good and bad copy for each context type (errors, confirmations, onboarding, tooltips). The agent learns your brand's writing patterns and constraints.
2. Scan and generate. Connect your Figma files or codebase. The agent identifies all text elements, flags placeholder or inconsistent copy, and generates improved alternatives. Review suggestions in context—see the new copy rendered in the actual UI layout.
3. Iterate and test. Approve, edit, or reject suggestions per screen. For high-traffic flows (signup, checkout, onboarding), generate A/B test variants and push them to your experimentation platform. Track which copy variants perform best and feed results back into the agent's learning.

Инструменты: Frontitude, Ditto, Lokalise

Проблема

A single campaign needs dozens of asset variants: Instagram square, story, and reel; Facebook feed and cover; LinkedIn banner; Twitter card; Google Display in six sizes; email header in two widths. Designers spend 40–60% of their time on this mechanical resizing and reformatting work, manually adjusting text wrapping, element positioning, and safe zones for each format.

Решение

The AI agent takes a master design (Figma frame, PSD, or uploaded image) and generates all required size variants automatically. It intelligently reflows text, repositions elements to respect safe zones, adjusts font sizes for readability at each dimension, and ensures brand guidelines (minimum logo size, color contrast, margin rules) are maintained across every variant.

Что даёт

• Generate 20+ platform-specific variants from a single master design in minutes
• 60% reduction in designer time spent on mechanical resizing work
• Consistent brand compliance across all asset dimensions and platforms
• On-demand regeneration when campaign copy or imagery changes

Как запустить

1. Upload master design and define templates. Upload your master creative or connect your Figma file. Define the output formats you need (Instagram 1080x1080, Story 1080x1920, LinkedIn 1200x627, etc.) and specify which elements are fixed vs. flexible.
2. Configure brand rules. Set minimum logo dimensions, required margins, font size ranges, text truncation rules, and color contrast thresholds. The agent enforces these constraints during every resize operation.
3. Generate and export. Generate all variants with one click. Review the batch in a grid view, make manual tweaks to any variant if needed, then export all assets in the required formats (PNG, JPG, WebP) with proper naming conventions for each platform.

Инструменты: Figma API, Placid, Bannerbear