128 lines
16 KiB
JSON
128 lines
16 KiB
JSON
{
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"name": "Lever",
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"slug": "lever",
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"tagline": "AI-Power Your Lever in 2 Clicks",
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"metaDescription": "Connect Lever to any AI model with MCPEngage. Manage candidates, automate interviews, and streamline hiring — all through natural conversation.",
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"badgeText": "Now Available — Connect Lever + AI",
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"heroSubtitle": "MCPEngage connects Lever to any AI model via MCP.<br class=\"hidden sm:block\"><span class=\"text-white font-semibold\">Source candidates, schedule interviews, and track pipelines — all through conversation.</span>",
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"urlBarPath": "lever",
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"chatPlaceholder": "Ask about your Lever candidates...",
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"toolCount": "50",
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"installPlatformName": "Lever",
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"installToolCount": "50",
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"sidebarIcons": [
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{"icon": "users", "label": "Candidates"},
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{"icon": "briefcase", "label": "Postings"},
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{"icon": "calendar", "label": "Interviews"},
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{"icon": "trending-up", "label": "Pipeline"}
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],
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"rightPanel": {
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"tab1Label": "Candidates",
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"tab1Icon": "users",
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"tab1Count": "342",
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"tab2Label": "Interviews",
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"tab2Icon": "calendar",
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"cards": [
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{
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"title": "Sarah Chen — Senior Engineer",
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"subtitle": "Applied 2d ago • 8 yrs exp",
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"badge": "Top Pick",
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"badgeColor": "green",
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"tags": [
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{"text": "Tech screen", "bg": "bg-brand-500/15", "color": "text-brand-400"},
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{"text": "React, AWS", "bg": "bg-zinc-800", "color": "text-zinc-400"}
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]
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},
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{
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"title": "James Park — Product Manager",
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"subtitle": "Interview tmrw • 6 yrs exp",
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"badge": "Scheduled",
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"badgeColor": "blue",
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"tags": [
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{"text": "Onsite", "bg": "bg-blue-500/15", "color": "text-blue-400"},
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{"text": "PM role", "bg": "bg-zinc-800", "color": "text-zinc-400"}
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]
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},
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{
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"title": "Maria Lopez — Designer",
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"subtitle": "Waiting on feedback • 5 yrs exp",
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"badge": "Pending",
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"badgeColor": "yellow",
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"tags": [
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{"text": "Portfolio review", "bg": "bg-yellow-500/15", "color": "text-yellow-400"},
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{"text": "Figma expert", "bg": "bg-zinc-800", "color": "text-zinc-400"}
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]
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}
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]
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},
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"stats": [
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{"value": 50, "suffix": "+", "label": "Lever Tools"},
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{"prefix": "$", "value": 0, "label": "Setup Cost"},
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{"value": 2, "suffix": "min", "label": "Install Time"},
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{"display": "24/7", "label": "AI Hiring"}
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],
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"terminalLines": [
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{"text": "$ npx mcpengage init", "color": "text-white", "delay": 0},
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{"text": "", "color": "", "delay": 600},
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{"text": "? Select your platform: Lever", "color": "text-cyan-400", "delay": 1200},
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{"text": "", "color": "", "delay": 1600},
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{"text": " Connecting to Lever API...", "color": "text-zinc-500", "delay": 2000},
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{"text": "✓ Connected to Lever API", "color": "text-green-400", "delay": 3000},
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{"text": "✓ 50 tools loaded", "color": "text-green-400", "delay": 3600},
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{"text": "✓ Ready! Ask your AI anything about Lever", "color": "text-green-400", "delay": 4200}
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],
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"beforeItems": [
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{"title": "Resume black hole", "desc": "342 candidates across 12 postings, no way to surface the best fits quickly"},
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{"title": "Scheduling nightmares", "desc": "Email ping-pong with candidates and interviewers just to book one call"},
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{"title": "Pipeline blindness", "desc": "Which roles are stalled? Who's waiting on feedback? You're clicking through stages manually"},
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{"title": "Feedback delays", "desc": "Waiting days for interview scorecards, candidates ghosting because you're too slow"}
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],
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"afterItems": [
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{"title": "AI candidate matching", "desc": "\"Find senior engineers with React and AWS experience\" — top picks surfaced instantly"},
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{"title": "Auto-scheduling", "desc": "AI finds open slots, sends calendar invites, and syncs with candidate availability"},
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{"title": "Real-time pipeline", "desc": "Ask \"Which engineering candidates are stuck in tech screen?\" — instant answer"},
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{"title": "Feedback automation", "desc": "AI drafts scorecards, flags blockers, and nudges interviewers for timely reviews"}
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],
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"painPointsHeadline": "Your Hiring Pipeline Is<br><span class=\"text-red-400\">Broken</span>",
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"painPointsSubHeadline": "Lever organizes your candidates, but finding top talent and moving them through the pipeline still requires endless manual work.",
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"painPoints": [
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{"icon": "search-x", "title": "Resume Overload", "desc": "You have 300+ applications for one engineering role. Lever shows you a list. You're manually skimming resumes, one by one, looking for React + AWS. The perfect candidate is in there — buried on page 7."},
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{"icon": "calendar-x", "title": "Scheduling Hell", "desc": "Interview coordination is a full-time job. Candidate available Tuesday, interviewer 1 available Wednesday, interviewer 2 out of office. You're playing calendar Tetris in your email, losing top candidates to faster companies."},
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{"icon": "clock", "title": "Pipeline Stagnation", "desc": "Candidates stuck in 'Pending Feedback' for 2 weeks. You have no idea who's blocking what. By the time you follow up, they've accepted another offer. Your hiring velocity is glacial."}
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],
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"howItWorksHeadline": "Three Steps to<br><span class=\"gradient-text\">AI-Powered Hiring</span>",
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"howItWorks": [
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{"title": "Connect Your Lever", "desc": "Paste your Lever API key. MCPEngage discovers all available endpoints and builds 50+ tools automatically. No code, no configuration, no DevOps."},
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{"title": "Ask in Plain English", "desc": "\"Find senior engineers with React experience.\" \"Schedule a tech screen for Sarah Chen.\" \"Which candidates are waiting on feedback?\" Your AI understands and acts."},
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{"title": "Automate Everything", "desc": "Set up recurring workflows: auto-triage new applications, send interview reminders, flag stalled candidates, and generate weekly pipeline reports — all running 24/7."}
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],
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"featuresHeadline": "Everything to<br><span class=\"gradient-text\">Supercharge Lever</span>",
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"featuresSubtext": "50+ Lever tools accessible through one natural-language interface.",
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"features": [
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{"icon": "sparkles", "title": "Smart Candidate Search", "desc": "Search candidates by skills, experience, stage, or tags. \"Find all product managers in final round interviews.\""},
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{"icon": "calendar-check", "title": "Interview Automation", "desc": "Schedule interviews, send calendar invites, and manage interview panels. \"Schedule a tech screen for Sarah with Alex on Thursday.\""},
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{"icon": "trending-up", "title": "Pipeline Analytics", "desc": "Track time-to-hire, stage conversion rates, and bottlenecks. \"Which roles have the slowest pipeline?\""},
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{"icon": "message-square", "title": "Candidate Communication", "desc": "Send updates, rejection emails, and offer letters with AI-generated personalized content."},
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{"icon": "file-check", "title": "Feedback Intelligence", "desc": "Analyze interview scorecards, flag concerns, and surface consensus. \"Summarize feedback for James Park.\""},
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{"icon": "users-round", "title": "Recruiter Workload", "desc": "Track who's interviewing who, balance panel assignments, and optimize recruiter bandwidth across roles."}
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],
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"faq": [
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{"q": "What is MCP?", "a": "MCP (Model Context Protocol) is an open standard created by Anthropic that lets AI models securely connect to external tools and data sources. Think of it as a USB port for AI — MCPEngage uses MCP to give your AI real-time read/write access to Lever."},
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{"q": "How does it connect to Lever?", "a": "You provide a Lever API key (generated in Settings → Integrations → API Credentials). MCPEngage uses the Lever REST API to create 50+ tools covering candidates, postings, interviews, feedback, and analytics. Your credentials are encrypted and never stored on our servers."},
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{"q": "Can AI read candidate resumes?", "a": "MCPEngage accesses candidate profile data (name, email, experience, tags, stage) available through the Lever API. Full resume document parsing depends on how you've configured Lever's data structure. AI can search and filter based on structured fields."},
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{"q": "Does it integrate with Calendly or Google Calendar?", "a": "MCPEngage works with Lever's interview scheduling features. For deeper calendar integrations (Calendly, Google Calendar sync), you can connect those platforms separately via MCPEngage and build cross-platform workflows."},
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{"q": "How much does it cost?", "a": "MCPEngage is free during the beta period. After launch, pricing starts at $29/month per platform connection. Enterprise plans with custom integrations and priority support are available on request."},
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{"q": "Can I use it with other platforms?", "a": "Yes! MCPEngage supports 66+ platforms including Greenhouse, Ashby, LinkedIn, Slack, and many more. Each platform gets its own MCP server with platform-specific tools. Connect as many as you need."}
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],
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"chatMessages": [
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{"type": "user", "text": "Show me all senior engineers with React and AWS experience in active pipeline"},
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{"type": "ai", "text": "Found 8 matching candidates. Here are the top picks:", "embed": "<div style=\"background:rgba(255,255,255,0.03);border:1px solid rgba(255,255,255,0.08);border-radius:12px;overflow:hidden;margin-top:8px;max-width:420px;\"><div style=\"display:flex;align-items:center;justify-content:space-between;padding:10px 14px;border-bottom:1px solid rgba(255,255,255,0.06);background:rgba(23,195,178,0.05);\"><div style=\"display:flex;align-items:center;gap:8px;\"><div style=\"width:6px;height:6px;border-radius:50%;background:#17c3b2;\"></div><span style=\"font-size:11px;font-weight:700;color:#17c3b2;text-transform:uppercase;letter-spacing:0.5px;\">Senior Engineers — React + AWS</span></div><span style=\"font-size:10px;color:rgba(255,255,255,0.3);font-family:monospace;\">8 active</span></div><div style=\"padding:0;\"><div style=\"display:flex;align-items:center;gap:10px;padding:10px 14px;border-bottom:1px solid rgba(255,255,255,0.04);\"><div style=\"flex-shrink:0;width:32px;height:32px;border-radius:8px;background:linear-gradient(135deg, #667eea 0%, #764ba2 100%);display:flex;align-items:center;justify-content:center;font-size:11px;font-weight:700;color:white;\">SC</div><div style=\"flex:1;min-width:0;\"><div style=\"display:flex;align-items:center;gap:6px;margin-bottom:2px;\"><span style=\"font-size:12px;font-weight:600;color:#e4e4e7;\">Sarah Chen</span><span style=\"font-size:10px;color:rgba(255,255,255,0.4);\">8 years exp</span></div><div style=\"display:flex;align-items:center;gap:6px;\"><span style=\"font-size:10px;color:rgba(255,255,255,0.3);\">Tech Screen stage • Applied 2d ago</span></div></div><span style=\"padding:2px 8px;border-radius:6px;font-size:9px;font-weight:700;background:rgba(34,197,94,0.15);color:#4ade80;text-transform:uppercase;\">Top Pick</span></div><div style=\"display:flex;align-items:center;gap:10px;padding:10px 14px;border-bottom:1px solid rgba(255,255,255,0.04);\"><div style=\"flex-shrink:0;width:32px;height:32px;border-radius:8px;background:linear-gradient(135deg, #f093fb 0%, #f5576c 100%);display:flex;align-items:center;justify-content:center;font-size:11px;font-weight:700;color:white;\">AR</div><div style=\"flex:1;min-width:0;\"><div style=\"display:flex;align-items:center;gap:6px;margin-bottom:2px;\"><span style=\"font-size:12px;font-weight:600;color:#e4e4e7;\">Alex Rivera</span><span style=\"font-size:10px;color:rgba(255,255,255,0.4);\">10 years exp</span></div><div style=\"display:flex;align-items:center;gap:6px;\"><span style=\"font-size:10px;color:rgba(255,255,255,0.3);\">Onsite stage • Interviewed 3d ago</span></div></div><span style=\"padding:2px 8px;border-radius:6px;font-size:9px;font-weight:700;background:rgba(59,130,246,0.15);color:#60a5fa;text-transform:uppercase;\">Strong</span></div><div style=\"display:flex;align-items:center;gap:10px;padding:10px 14px;\"><div style=\"flex-shrink:0;width:32px;height:32px;border-radius:8px;background:linear-gradient(135deg, #4facfe 0%, #00f2fe 100%);display:flex;align-items:center;justify-content:center;font-size:11px;font-weight:700;color:white;\">KP</div><div style=\"flex:1;min-width:0;\"><div style=\"display:flex;align-items:center;gap:6px;margin-bottom:2px;\"><span style=\"font-size:12px;font-weight:600;color:#e4e4e7;\">Kevin Patel</span><span style=\"font-size:10px;color:rgba(255,255,255,0.4);\">7 years exp</span></div><div style=\"display:flex;align-items:center;gap:6px;\"><span style=\"font-size:10px;color:rgba(255,255,255,0.3);\">Phone Screen stage • Applied 5d ago</span></div></div></div></div><div style=\"padding:8px 14px;border-top:1px solid rgba(255,255,255,0.06);display:flex;align-items:center;justify-content:space-between;\"><span style=\"font-size:10px;color:rgba(255,255,255,0.25);\">Sarah Chen has highest interview score</span><span style=\"font-size:10px;color:#17c3b2;cursor:pointer;\">View all 8 →</span></div></div>"},
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{"type": "user", "text": "Schedule a tech screen for Sarah Chen with Alex tomorrow at 2pm and send her a confirmation email"},
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{"type": "ai", "text": "Done! Here's what I did:", "embed": "<div style=\"background:rgba(255,255,255,0.03);border:1px solid rgba(255,255,255,0.08);border-radius:12px;overflow:hidden;margin-top:8px;max-width:420px;\"><div style=\"display:flex;align-items:center;justify-content:space-between;padding:10px 14px;border-bottom:1px solid rgba(255,255,255,0.06);background:rgba(34,197,94,0.05);\"><div style=\"display:flex;align-items:center;gap:8px;\"><div style=\"width:6px;height:6px;border-radius:50%;background:#22c55e;\"></div><span style=\"font-size:11px;font-weight:700;color:#22c55e;text-transform:uppercase;letter-spacing:0.5px;\">Actions Completed</span></div><span style=\"font-size:10px;color:rgba(255,255,255,0.3);font-family:monospace;\">2 of 2</span></div><div style=\"padding:10px 14px;border-bottom:1px solid rgba(255,255,255,0.04);\"><div style=\"display:flex;align-items:center;gap:8px;margin-bottom:8px;\"><div style=\"width:20px;height:20px;border-radius:6px;background:rgba(34,197,94,0.15);display:flex;align-items:center;justify-content:center;\"><span style=\"font-size:11px;color:#22c55e;\">✓</span></div><span style=\"font-size:12px;font-weight:600;color:#e4e4e7;\">Interview scheduled</span></div><div style=\"background:rgba(255,255,255,0.02);border:1px solid rgba(255,255,255,0.05);border-radius:8px;padding:10px 12px;\"><div style=\"display:flex;justify-content:space-between;align-items:center;margin-bottom:6px;\"><span style=\"font-size:11px;font-weight:600;color:#e4e4e7;\">Tech Screen — Sarah Chen</span><span style=\"padding:2px 6px;border-radius:4px;font-size:9px;font-weight:600;background:rgba(34,197,94,0.15);color:#4ade80;\">Confirmed</span></div><div style=\"font-size:10px;color:rgba(255,255,255,0.4);line-height:1.5;\">📅 Tomorrow, 2:00 PM - 3:00 PM<br/>👤 Interviewer: Alex Rivera<br/>🔗 Zoom link sent to both parties</div></div></div><div style=\"padding:10px 14px;\"><div style=\"display:flex;align-items:center;gap:8px;\"><div style=\"width:20px;height:20px;border-radius:6px;background:rgba(34,197,94,0.15);display:flex;align-items:center;justify-content:center;\"><span style=\"font-size:11px;color:#22c55e;\">✓</span></div><span style=\"font-size:12px;font-weight:600;color:#e4e4e7;\">Confirmation email sent</span></div><div style=\"margin-top:6px;margin-left:28px;background:rgba(255,255,255,0.02);border:1px solid rgba(255,255,255,0.05);border-radius:8px;padding:8px 10px;\"><div style=\"font-size:10px;color:rgba(255,255,255,0.3);margin-bottom:4px;\">To: <span style=\"font-weight:600;color:#17c3b2;\">sarah.chen@email.com</span></div><div style=\"font-size:10px;color:rgba(255,255,255,0.5);line-height:1.5;font-style:italic;\">\"Hi Sarah, Excited to chat tomorrow! Your tech screen with Alex is confirmed for 2 PM. Zoom link and prep materials attached. Looking forward to it!\"</div></div></div></div>"}
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],
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"ctaHeadline": "Start Automating Lever<br><span class=\"gradient-text\">Today</span>",
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"ctaSubtext": "Join recruiting teams using MCPEngage to hire faster with AI.",
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"painPointsHeadline": "Your Hiring Pipeline Is<br><span class=\"text-red-400\">Broken</span>",
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"painPointsSubHeadline": "Lever organizes your candidates, but finding top talent and moving them through the pipeline still requires endless manual work."
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}
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