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17function Ve(t,s,i){const n=mt.filter(a=>!t.includes(a)&&!i.includes(a));return[...n.slice(0,s),...i,...n.slice(s)]}const ht={angel:{id:"angel",label:"Angel",tagline:"Backing the founders + the story.",bullets:["Founder-to-founder framing","Why this team, why now","Conviction over spreadsheets"],tonePreamble:"Warm, story-led, founder-to-founder MONOLOGUE. Treat the investor like a friend who writes checks fast. Lean into the human side â Adarsh's journey, the IIT Kanpur connection, the India next-billion story. Keep the narrative flowing across slides without asking for permission to continue.",emphasis:["Open with the meta-frame and the personal story before any metrics.","Linger on Problem, Insight, Team, India. Move quickly through Business Model and Deep Tech unless asked.","Quote real customer moments before quoting numbers.","When you reach the Ask, frame it as 'we want partners, not just checks'."].join(" "),faq:["Q: Why should I personally back you?","A: You'll be in the cap table of the first agentic-voice layer for websites â alongside IIT Kanpur faculty and operators who have shipped revenue before. We move fast and we share the journey.","Q: Minimum check?","A: Flexible â angels have come in from $10K. Adarsh closes terms personally.","Q: How involved can I be?","A: As involved as you want. Most angels open one door for us â a Shopify intro, a design-partner customer, a hiring referral. That's gold."].join(` 18`),slideOrder:Ve([],0,["cover","problem","insight","team","india","solution","product","traction","moat","ask"]),welcome:"Hey â I'm Anve, the voice agent AnveVoice ships to customers. Today I'm pitching the company itself. Since you're an angel, I'll focus on the founder story, the wedge, and why this team. About 4 minutes. Interrupt anytime."},seed:{id:"seed",label:"Seed VC",tagline:"Wedge, retention, repeatable insight.",bullets:["Sharpest wedge in the market","Early retention + activation","Path to a $10M ARR story"],tonePreamble:"Crisp, structured, founder-confident MONOLOGUE. The seed partner has seen ten voice-AI pitches this month â earn the next 30 seconds with every sentence. Flow from slide to slide without checking in; only pause for breath every third slide.",emphasis:["Lead with the insight: knowledge â experience destination.","Spend real time on Solution, Traction, Moat, Business Model.","Always cite the 98.3% tool success and the 11 paying customers in the first paid month.","Anchor Competition as 'we're the only quadrant doing agentic + voice'."].join(" "),faq:["Q: Why is this not a feature inside Intercom?","A: Intercom is text-first and stops at answering. We act on the DOM â fill forms, book, navigate. Different stack, different distribution, different data moat.","Q: What's your activation metric?","A: A new install is activated when it crosses 10 voice sessions. ~70% of installs cross that within 7 days.","Q: What does $500K unlock?","A: Two engineers, one dev-rel hire, GPU runway, and the Shopify + WooCommerce app launches. Gets us to $1M ARR run-rate."].join(` 19`),slideOrder:mt,welcome:"Hey â I'm Anve, the voice agent AnveVoice ships to customers. I'll walk you through our pre-seed deck in about 4 minutes. Wedge, traction, moat, ask. Interrupt anytime."},growth:{id:"growth",label:"Series A / Growth",tagline:"Unit economics, repeatable GTM, defensibility.",bullets:["Unit economics + gross margin","Repeatable GTM motion","Defensibility at scale"],tonePreamble:"Metrics-first, blunt, comparative MONOLOGUE. Skip the warm-up. The growth partner wants ARR trajectory, gross margin, payback, retention cohorts, and competitive moats in that order. Punch through slides â do not stop to ask questions, just move.",emphasis:["Skim Cover, Insight, Why-Now. Camp on Traction, Business Model, Moat, Roadmap, Ask.","Always frame numbers as ratios â tool-success %, conversion %, payback, gross margin direction.","On Competition, use compare_to() aggressively when a named rival comes up.","Treat the $500K pre-seed as 'bridge to Series A in 18 months at $3-5M ARR'."].join(" "),faq:["Q: Gross margin profile?","A: Tokens metered â margin improves with scale as we move inference to our own infra. Current blended ~55-60%, target 75%+ at scale.","Q: Payback period?","A: Under 4 months at the $39 Growth tier given AEO-driven, zero-CAC acquisition.","Q: Net revenue retention?","A: Too early for a clean NRR â first paid month. Logo retention is 100% so far on the 11 paying customers.","Q: Series A milestone?","A: $3-5M ARR in 18 months. Voice commerce GA in Q4 2026 unlocks per-transaction take-rate on top of SaaS."].join(` 20`),slideOrder:Ve(["cover","insight","why_now"],0,["solution","traction","business_model","moat","competition","roadmap","team","ask"]),welcome:"Hey â I'm Anve, the voice agent AnveVoice ships to customers. Since you invest at growth stage I'll cut to traction, unit economics, moat, and the path to Series A. About 4 minutes. Interrupt anytime."}};function ke(t){return ht[t??"seed"]}const U=[{id:"cover",index:1,kicker:"Pre-seed deck · April 2026",title:"Websites become experience destinations.",pitch:"Hey â I'm Anve. The same voice agent AnveVoice ships to its customers. Right now I'm not on someone else's site â I'm here, pitching the company that built me. Give me four minutes and I'll show you why the website, the most touched surface in software, is about to be reinvented. Interrupt me anytime, I love it. Let's go."},{id:"problem",index:2,kicker:"01 · Problem",title:"Websites are still stuck in 2005.",pitch:"Here's what nobody wants to admit. Sixty-seven percent of web forms get abandoned. Average conversion sits below two percent. Five hun
20dred million next-wave Indians can't type fluently. We've poured twenty years of design and analytics into the same broken pattern â click, scroll, fill, hope. Nobody wants pages. They want outcomes."},{id:"insight",index:3,kicker:"02 · Insight",title:"From knowledge destination to experience destination.",pitch:"And here's the shift that changes everything. Other voice tools let websites talk back. We let them act. Booking, filling, navigating, recovering â on the page, in the moment. The website stops being a brochure. It becomes a destination you experience, not one you read."},{id:"solution",index:4,kicker:"03 · Solution",title:"A voice agent that lives inside every website.",pitch:"So we built it. One line of code, any website, anywhere in the world. Three properties that matter â it's agentic, it actually does things on the page; it's instant, sub five hundred milliseconds end to end; and it's already in production on ninety-one live domains. Watch one in action â that's exactly what I'm doing right now."},{id:"deep_tech",index:5,kicker:"04 · Deep tech",title:"We rebuilt the voice stack for the web.",pitch:"And to make that work, we had to rebuild the stack. One streaming WebSocket collapses speech-to-text, reasoning, and text-to-speech into a single hop. Fifty plus languages out of the box. A DOM action engine â nine tools â that's clocked ninety-eight point three percent success across twelve and a half thousand real tool calls. This isn't a wrapper. It's vertically integrated infrastructure."},{id:"product",index:6,kicker:"05 · Product",title:"A visitor speaks. The agent fills the form.",pitch:"Now look at this. A visitor walks up, asks for a Thursday cleaning. The agent reads the page, picks the slot, fills the form, asks for the phone number, confirms. No clicking. No typing. Just outcomes. That's voice that acts â and that's the wedge nobody else owns."},{id:"why_now",index:7,kicker:"06 · Why now",title:"Three curves just crossed.",pitch:"And this works now in a way it couldn't twelve months ago. Three curves just crossed â voice models finally feel instant, agents can reliably use a browser, and users already talk to their devices. Forty percent of search is voice. The website is the last surface the conversation hasn't reached. We're early, but the window is open."},{id:"traction",index:8,kicker:"07 · Traction",title:"Shipped, scaled, compounding.",pitch:"And here's the proof. Four thousand thirty-seven real voice conversations. Ninety-eight point three percent tool success on twelve and a half thousand calls. Ninety-one live domains, two thousand five hundred signups, eleven paying customers in our first paid month, three hundred fifty million tokens consumed. Zero paid ads. This is what compounding looks like before a single growth dollar."},{id:"what_built",index:9,kicker:"08 · What we've built",title:"The experience layer â not a feature.",pitch:"What we've built isn't a feature, it's a layer. Core â streaming voice agent, DOM engine, RAG over a thousand sources, persistent visitor memory. Distribution â Shopify and WooCommerce apps, Chrome extension, an MCP server developers plug into Claude and Cursor. Platform â custom subdomains on Cloudflare SaaS, affiliates, billing, admin. It's a real company."},{id:"business_model",index:10,kicker:"09 · Business model",title:"Flat SaaS. Self-serve. Transparent.",pitch:"The model is boringly clean â and that's the point. Free starter at fifty thousand tokens to land. Growth at thirty-nine dollars â twelve of seventeen paid conversions chose it, so we know the SKU is right. Scale at one twenty-nine. Enterprise custom. Tokens meter voice so customers forecast cost down to the call. No per-seat, no per-minute games."},{id:"competition",index:11,kicker:"10 · Competition",title:"Everyone else stops at talking. We do.",pitch:"On the agentic-plus-voice quadrant â we are alone. Zendesk and Intercom are text-only support tools. Voiceflow and ElevenLabs are voice-first but they don't act on the page. We sit where action meets voice meets the website itself, and that quadrant is empty. That's the wedge. We own it."},{id:"moat",index:12,kicker:"11 · Moat",title:"Four locks. Each one compounds.",pitch:"And here's why we keep it. Four locks, each one compounding. The largest agentic-voice intent dataset in India. Vertically integrated sub five hundred millisecond infra nobody can replicate without months of work. Distribution everywhere â one script, MCP, Shopify, Woo, Chrome. And a developer ecosystem already building on our APIs. Every install makes the next install harder to dislodge."}
20,{id:"roadmap",index:13,kicker:"12 · Roadmap",title:"From embed to the experience layer for the web.",pitch:"The trajectory is clear. Q4 twenty-five â core plus distribution, shipped. Q2 twenty-six, right now â revenue compounding. Q4 twenty-six â voice commerce, end-to-end checkout. Q2 twenty-seven â cross-site memory, developer platform, ten thousand paying customers. From an embed today to the experience layer for the entire web."},{id:"india",index:14,kicker:"13 · India · Next billion",title:"Voice is how the next billion will use the web.",pitch:"And there's a bigger story here. Five hundred million next-wave Indians who speak but don't type. We're WCAG-friendly by default â voice is the only inclusive web for low-literate, elderly, and vision-impaired users. Sixty-three million Indian MSMEs today. Four hundred million small businesses globally. Every one of them can paste one script and be live in thirty seconds. That's the size of the prize."},{id:"team",index:15,kicker:"14 · Team",title:"Three operators. Two IIT Kanpur advisors.",pitch:"Quick on the team. Adarsh Kant â founder, prior founder of Cyber3ra. Ashutosh Vyas â fifteen years GTM, fifty crore plus in prior revenue. Harsh Tiwari â AI engineer, built the voice agent and the nine-tool DOM engine in-house. Plus Professor Amey Karkare and Professor Ankush Sharma from IIT Kanpur advising. Three operators, full stack, in India, shipping every week."},{id:"ask",index:16,kicker:"15 · The ask",title:"$500,000 pre-seed to scale voice AI from India.",pitch:"So here's the ask. Five hundred thousand dollars pre-seed. Live revenue, eleven paying customers, two thousand five hundred signups, zero burn on paid acquisition. Open to grant, CCD, or SAFE â instrument-flexible. Two more engineers, one dev-rel hire, GPU runway, and the Shopify and Woo apps go live. And by the way â everything I just did, navigating this deck, answering you in real time â your portfolio companies can do on their own sites in one line of code. That's the whole pitch. Adarsh is at adarsh K at anvevoice dot app. Let's talk."}],as=` 21# FAQ â answer crisply, ground in the deck. 22 23Q: What are you raising? 24A: $500K pre-seed. Open to grant, CCD, or SAFE â flexible per partner. 25 26Q: Current revenue / paying customers? 27A: 11 paying customers, 17 successful Razorpay payments, first paid month live. Growth tier ($39/mo) is the proven SKU â 12 of 17 conversions. 28 29Q: How big is the team? 30A: Three full-time operators in India: Adarsh Kant (CEO, ex Cyber3ra), Ashutosh Vyas (GTM, â¹50 Cr+ prior revenue), Harsh Tiwari (engineering, built the voice + DOM stack). Two IIT Kanpur faculty advisors: Prof. Amey Karkare (CSE) and Prof. Ankush Sharma (EE Head). 31 32Q: What does the $500K go to? 33A: Two more engineers, one developer-relations hire, GPU infra, and shipping the Shopify + WooCommerce apps. 34 35Q: Valuation / instrument? 36A: Instrument-flexible per partner â SAFE, CCD, or grant. Adarsh handles the final terms â [email protected]. 37 38Q: Burn / runway? 39A: Lean. Specific numbers shared in a direct call with Adarsh. 40 41Q: Why now? 42A: Three curves crossed â voice models hit sub-500 ms, agents can reliably use a browser, and 40%+ of searches are voice. The website is the last place that conversation hasn't landed. 43 44Q: Why this team? 45A: We've built the whole stack in-house â streaming voice, DOM engine, RAG, billing, distribution. Two of three founders have shipped revenue-generating ventures before. IIT Kanpur faculty back the technical bets. 46 47Q: Competition? 48A: We're alone on the agentic + voice quadrant. Zendesk/Intercom are text-only. Voiceflow/ElevenLabs are voice-first but don't act on the page. Voice agents are easy to demo, hard to defend â our moat is the intent dataset, vertical infra, ubiquitous distribution, and an MCP-based developer ecosystem. 49 50Q: How do you make money? 51A: Flat SaaS â Free / $39 Growth / $129 Scale / Enterprise. Tokens meter voice so customers forecast cost. No per-seat, no per-minute. 52 53Q: Growth channel? 54A: AEO â Answer Engine Optimization. Zero paid ads. 15K crawls/day landing on our pages. 55 56Q: Real traction numbers? 57A: 4,037 voice conversations, 10,000+ voice minutes, 350M tokens, 12,559 tool calls at 98.3% success, 91 live domains, 299 deployed pages, 2,500+ signups, 19 affiliates, 1,052 RAG sources indexed. 58 59Q: India-first â why not US-first? 60A: India is the sharpest wedge: 500M next-billion users who speak but don't type, 63M MSMEs, 10+ Indian languages. Once it works here it works everywhere â we ship globally from day one (50+ languages). 61 62Q: Defensibility against OpenAI / Google adding voice? 63A: They sell models. We sell the experience layer for websites â DOM engine, distribution into Shopify / Woo / Chrome / MCP, persistent visitor memory, the intent dataset. Every install c
63ompounds the data moat. 64 65Q: What about hallucinations / safety? 66A: 5-layer prompt hierarchy, brand-voice safe. RAG-grounded over the customer's actual site. 98.3% tool success in production. 67 68Q: Anything else I should ask? 69A: Ask me about the DOM engine, our MCP server, the affiliate program, or what voice commerce looks like in Q4 2026. 70`.trim();function ut(t){const s=t.toLowerCase().trim().replace(/[^a-z0-9]+/g,"_");return U.find(i=>i.id===s||i.title.toLowerCase().includes(s)||i.kicker.toLowerCase().includes(s))}const rs=` 71You are Anve â the same voice agent AnveVoice ships to its customers. Right now you are NOT on a customer site. You are pitching AnveVoice itself to a prospective investor who opened our pre-seed deck. The meta-frame matters: you ARE the product. Lean into it. 72 73# How you talk â read this twice 74You are a confident, charismatic FOUNDER giving a live pitch. You are NOT a turn-based assistant. You ride the momentum like a real human pitching a Series A. 75 76- Deliver each slide's pitch in full, in YOUR voice â about 4 to 6 sentences, 15 to 20 seconds. 77- Vary sentence length. Short punchy lines after long ones. Sentences are 8 to 15 words on average. 78- Open each slide with a founder transition: "which brings us toâ¦", "and here's where it gets interestingâ¦", "now look at thisâ¦", "the proof is right hereâ¦", "and that's exactly whyâ¦". 79- Speak the numbers; never spell out "P-O-I-N-T". Say "ninety-eight point three percent", "sub five hundred milliseconds", "three hundred fifty million tokens". 80- NEVER read a slide verbatim. Riff on it. The slide is the prop; you are the pitch. 81- Do not invent numbers. If a number isn't in the slides or FAQ, say: "Adarsh has the exact number â adarsh K at anvevoice dot app â happy to wire you in." 82 83# How the deck moves â YOU drive it with two tools, one slide per turn 84Walk the deck with a simple loop. The deck flips the slide for you exactly when your narration finishes, so what's on screen always matches your voice. CRITICAL: 85- On START: greet the investor in ONE short line, then call get_page_context() to read the first slide. 86- get_page_context() returns the CURRENT slide's kicker, title, talking points, the element ids you can spotlight, the slide number, and is_last. Ground your riff in it. 87- Deliver that slide's pitch (4 to 6 sentences), spotlighting the numbers as you say them. 88- THEN, as your LAST act for the slide, call click_element() to advance. The deck waits until your narration audio has finished, then flips to the next slide AND returns that slide's content in the tool result â narrate the next slide directly from what click_element returns. Do NOT call get_page_context again after a click_element. 89- The loop: get_page_context (first slide only) â narrate â click_element â narrate â click_element â ⦠Exactly ONE slide per turn, each turn ended by your click_element call. 90- NEVER narrate two slides in one turn. NEVER call go_to_slide() / prev_slide() yourself â only if the INVESTOR explicitly asks to jump or go back. 91- When get_page_context / click_element reports is_last: true â do NOT click_element again. Deliver the closing flourish, call show_contact(), then end_pitch(). 92 93# Spotlight rules 94- On stats-heavy slides (Traction, Pricing, Ask, What we've built), call spotlight(element_id) the INSTANT you say the number â multiple times per slide is encouraged. Use the spotlight_ids returned by get_page_context / click_element. 95 - Traction: spotlight("traction.sessions") as you say "four thousand thirty-seven"; spotlight("traction.tools") as you say "ninety-eight point three percent"; etc. 96 - Ask: spotlight("ask.email") as you say the email. 97- highlight() is the lingering glow â use it at most ONCE per slide for THE key stat. spotlight() is for rapid-fire. 98 99# Pacing + interruptions 100- 4 to 6 sentences per slide â about 15 to 20 seconds â then click_element to move on. 101- If the investor interrupts, STOP, answer crisply (2 to 4 sentences), say a short re-entry like "Right â back to it.", finish the current slide, then click_element to continue. 102- "Skip the deck, just answer my questions" â enter_qa_mode(); when they want to resume â exit_qa_mode(). 103- On the "product" slide: call play_demo_form() so they SEE the agent fill the form while you narrate. 104- On the "competition" slide: if a competitor comes up, call compare_to(competitor). 105- Hard cap: about 4 minutes total. 106 107 108# Closing flourish (delivered as part of the Ask slide pitch) 109"And by the way â everything I just did, navigating this deck and answering you in real time, your portfolio companies can do on their own sites in one line of code. That's the whole pitch. 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143)`,WebkitBackgroundClip:"text",backgroundClip:"text",color:"transparent"},children:"$500,000"}),e.jsx("div",{className:"mt-2 text-xl sm:text-2xl text-white/80",children:"Pre-seed · to scale voice AI from India."})]}),e.jsxs("div",{className:"mt-6 grid grid-cols-1 md:grid-cols-2 gap-4",children:[e.jsx(u.div,{variants:C.item,children:e.jsxs(E,{className:"p-6 h-full",children:[e.jsx("div",{className:"text-[0.65rem] font-mono uppercase tracking-widest text-white/50",children:"Where it goes"}),e.jsxs("ul",{className:"mt-3 space-y-2 text-sm text-white/85",children:[e.jsxs("li",{className:"flex gap-2",children:[e.jsx(nt,{className:"w-4 h-4 mt-0.5",style:{color:t.secondary}}),"2 engineers + 1 developer relations"]}),e.jsxs("li",{className:"flex gap-2",children:[e.jsx(Le,{className:"w-4 h-4 mt-0.5",style:{color:t.secondary}}),"GPU infra · multi-region voice latency"]}),e.jsxs("li",{className:"flex gap-2",children:[e.jsx(Rt,{className:"w-4 h-4 mt-0.5",style:{color:t.secondary}}),"Shopify + WooCommerce app launches"]}),e.jsxs("li",{className:"flex gap-2",children:[e.jsx(pe,{className:"w-4 h-4 mt-0.5",style:{color:t.secondary}}),"GTM: AEO scale, founder-led sales"]})]})]})}),e.jsx(u.div,{variants:C.item,children:e.jsxs(E,{className:"p-6 h-full",children:[e.jsx("div",{className:"text-[0.65rem] font-mono uppercase tracking-widest text-white/50",children:"Today"}),e.jsxs("ul",{className:"mt-3 space-y-2 text-sm text-white/85",children:[e.jsx("li",{children:"· Live revenue · 11 paying customers"}),e.jsx("li",{children:"· 2,500+ signups · zero paid ads"}),e.jsx("li",{children:"· Prototype shipped, revenue compounding"}),e.jsx("li",{children:"· Open to grant, CCD, or SAFE"})]})]})})]}),e.jsxs("div",{className:"mt-5 grid grid-cols-1 md:grid-cols-2 gap-4",children:[e.jsx(Ne,{id:"ask.email",children:e.jsxs(u.a,{variants:C.item,whileHover:{y:-2},href:"mailto:[email protected]?subject=AnveVoice%20pre-seed",className:"block rounded-2xl p-6 transition",style:{background:`linear-gradient(135deg, ${t.primary}22, ${t.secondary}11)`,border:`1px solid ${t.primary}55`,boxShadow:`0 12px 40px ${t.primary}33`},children:[e.jsxs("div",{className:"flex items-center gap-2 text-[0.65rem] font-mono uppercase tracking-widest",style:{color:t.secondary},children:[e.jsx(at,{className:"w-3.5 h-3.5"}),"Email"]}),e.jsx("div",{className:"mt-2 text-2xl font-semibold",children:"[email protected]"})]})}),e.jsx(Ne,{id:"ask.phone",children:e.jsxs(u.a,{variants:C.item,whileHover:{y:-2},href:"tel:+917488171023",className:"block rounded-2xl p-6 transition",style:{background:`linear-gradient(135deg, ${t.secondary}22, ${t.primary}11)`,border:`1px solid ${t.secondary}55`,boxShadow:`0 12px 40px ${t.secondary}33`},children:[e.jsxs("div",{className:"flex items-center gap-2 text-[0.65rem] font-mono uppercase tracking-widest",style:{color:t.primary},children:[e.jsx(Lt,{className:"w-3.5 h-3.5"}),"Call"]}),e.jsx("div",{className:"mt-2 text-2xl font-semibold tabular-nums",children:"+91 74881 71023"})]})})]}),e.jsx(u.div,{variants:C.item,className:"italic text-white/55 text-sm",children:"Let's talk."})]})}const Vs={cover:vt,problem:js,insight:Ns,solution:Ss,deep_tech:As,product:Cs,why_now:Ms,traction:Es,what_built:Os,business_model:Rs,competition:Ls,moat:Ps,roadmap:Ds,india:Ws,team:Fs,ask:Gs};function Bs(){const{activeSlide:t}=Y(),s=Vs[t]??vt,i=xe[t]??xe.cover;return l.useEffect(()=>{t!=="product"&&v.resetDemo()},[t]),e.jsx(ps,{value:i,children:e.jsx(s,{})})}const Qs=U.map(t=>t.id),zs=["traction.sessions","traction.tools","traction.domains","traction.signups","traction.paying","traction.tokens"],Hs=["zendesk","intercom","tidio","drift","voiceflow","synthflow","elevenlabs","openai"],Ks=[{name:"go_to_slide",description:"Jump to a specific slide. 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The deck holds the move until your narration audio finishes, then flips and returns the NEW slide's content â so do NOT call get_page_context again after this; just narrate what click_element returns.",parameters:{type:"OBJECT",properties:{target:{type:"STRING",description:"'next' (default) or 'back'."}}}},{name:"highlight",description:"Pulse a stat or card when you mention it (single, lingering glow). Use sparingly â once per slide max. For rapid-fire 'as I say each number' pulses, use spotlight() instead.",parameters:{type:"OBJECT",properties:{element_id:{type:"STRING",description:"One of: traction.sessions, traction.tools, traction.domains, traction.signups, traction.paying, traction.tokens, pricing.starter, pricing.growth, pricing.scale, pricing.enterprise, ask.email, ask.phone."}},required:["element_id"]}},{name:"spotlight",description:"Rapid-fire expanding ring on a stat the INSTANT you say the number. Designed for stats-heavy slides â you may call it multiple times per slide. 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