Hands-On #1

Design an AI-powered CRM dashboard for B2B sales teams. Cards with purple/blue gradients showing 'Hot Leads' with probability scores (85%, 72%), predictive pipeline chart, 'Next Best Actions' widget with prioritized AI recommendations, at-risk deal alerts with red badges, and revenue forecast with confidence intervals. Modern SaaS style with clean data visualization and prominent CTAs.

Create a project management screen with AI assistant. Kanban view with columns (To Do, In Progress, Done), but with intelligent overlays: tasks with orange 'AI Priority' badges, automatic time estimates, floating reassignment suggestions, blocker detection with warning icons, and timeline predictor showing delivery date with error margins. Gray/blue palette with green accents for AI suggestions.

Design an ATS (Applicant Tracking System) screen with AI screening. Candidate grid with photo, percentage match score in colored circles (green >80%, yellow 60-80%, red <60%), auto-generated skill tags, 'Culture fit' meter with AI analysis, hiring process timeline, and chat widget for AI interviewer bot. Sidebar with bulk actions and smart filters. Clean enterprise style with purple accents.

Create a support dashboard with AI routing. List of incoming tickets with sentiment analysis icons (happy/neutral/angry faces), urgency scores with flames (1-3 flames), auto-suggested categories with confidence %, 'Similar tickets resolved' panel with previous solutions, agent assignment recommendations with reasons ('Sarah resolved 15 similar issues'), and AI-generated response templates. Optional dark mode, Intercom/Zendesk style.

Design a corporate expense management screen with ML predictions. Expense category cards (Travel, Software, Office) with trend charts, anomaly detection with highlighted alerts ('Unusual spend: +340% in Marketing'), next month forecast with range predictions, auto-categorization of uploaded receipts with visual OCR, policy violation warnings in red, and approval workflow with AI risk assessment. Fintech style with greens and reds for positive/negative.

Create an email marketing interface with AI optimization. Email builder on the left, multi-device preview on the right, but with floating AI panel showing: subject line scorer (A/B/C/D/F grades), send time optimizer with engagement prediction heatmap, audience segment suggestions with expected open rates, content recommendations ('Add urgency', 'Shorten CTA'), and performance predictor vs historical campaigns. Vibrant marketing-style gradients with purples/pinks.

Design an inventory dashboard with ML forecasting. Product table with columns: current stock, days until stockout prediction, 'Reorder now' badges on critical products, demand curves with seasonality patterns, AI-suggested reorder quantities, supplier lead time considered, and profit impact calculator if stockout occurs. Warehouse location heatmap. Logistics style with blues/oranges for low/high urgency.

Create a post-interview screen with AI analysis. Video player of recorded interview with timeline below marking key moments, automatic transcription with highlights, sentiment analysis graph showing candidate engagement over time, auto-tagged mentioned skills, detected red flags ('Inconsistent answers'), culture fit score with breakdown, and comparison matrix vs other candidates. Sidebar with AI-generated hiring recommendation and bias detection warnings.

Design a contract review interface with AI. Main PDF viewer showing contract, but with automatic highlights by type: risky clauses in red, favorable terms in green, dates/amounts in yellow, obligations in blue. Sidebar with overall risk score, comparison vs standard market terms, missing clauses list, AI-generated executive summary, and suggested edits. Filters to view only certain clause types. Professional legal style with serif typography.

Create a monitoring dashboard with AI predictions. Service health cards with traffic lights (green/yellow/red), but with 'Failure probability next 24hrs' meters, anomaly detection graphs with forecasted incidents marked, root cause suggestions when something fails, auto-generated runbooks for incident response, deployment risk scorer before push, and similar incidents library with how-they-fixed-it. Dark mode with neon accents (cyan/magenta) for alerts. Log streaming with AI-highlighted errors.