| # Viraltest v2 — Pitch Deck Outline (8 slides) |
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| ## Slide 1: Title |
| - **Viraltest v2: Teaching LLMs World Modeling Through Instagram Strategy** |
| - Theme #3.1 — Professional Tasks |
| - OpenEnv Hackathon India 2026 |
| - Team: [your team name] |
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| ## Slide 2: The Problem |
| - $250B creator economy, 67M creators (Goldman Sachs 2025) |
| - 73% experience burnout; Instagram drives 88% of it (Awin 2024) |
| - Algorithm changes constantly — no one tells you the rules |
| - Existing tools show analytics but don't teach strategy |
| - **Gap:** No RL environment captures this tradeoff with realistic dynamics |
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| ## Slide 3: The World |
| - 30-day Instagram simulation (monthly cycle) |
| - Mosseri-aligned signals: watch_time, sends, saves, likes (official Jan 2025) |
| - Hour-by-hour heatmap (Buffer 9.6M + Sprout 2B) |
| - 7 competitor archetypes, 5 audience segments, ~120 tags |
| - Piecewise-linear sleep model (Van Dongen 2003, *Sleep*) |
| - Tiered audience fatigue (Buffer 2.1M) |
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| ## Slide 4: The Tools (Theme #3.1 Fit) |
| - Agent starts with SPARSE observation (energy, followers, reward) |
| - 8 discoverable tools: query_trends, query_competitor, query_audience, query_tag_history, predict_engagement, draft_review, query_creator_pool, propose_collab |
| - API budget (100/episode) — can't query everything, must prioritize |
| - Notes field for hypothesis tracking across days |
| - Counterfactual coach: "here's what would have happened with optimal timing" |
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| ## Slide 5: Training Pipeline |
| - TRL GRPO on Qwen2.5-1.5B-Instruct (free Colab T4) |
| - Reward: per-step env reward + 2× terminal grader score |
| - 200 episodes, batch 4, 50 GRPO steps |
| - 3 tasks: monthly_engage → monthly_strategic → monthly_competitive |
| - Multi-episode chain: brand state persists across months |
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| ## Slide 6: Results |
| - [Embed reward_curve.png — ascending curve over training] |
| - [Embed before_after.png — smart baseline vs trained agent per task] |
| - Trained agent: uses tools on day 1, adapts strategy by day 5, manages energy throughout |
| - Score improvement on monthly_competitive: [X% → Y%] |
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| ## Slide 7: Sources & Verifiability |
| - 4-tier source quality bar (peer-reviewed → industry → official → survey) |
| - 7 Tier-1 papers, 9 Tier-2 studies, 1 Tier-3 official statement |
| - Every constant has a DOI/PMID/arXiv ID |
| - Tier-5 SEO blogs explicitly rejected (13 sites listed with rationale) |
| - Full bibliography: RESEARCH.md (~6 pages) |
| - **Any number in this presentation can be debated — we welcome it** |
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| ## Slide 8: Try It |
| - HF Space: [link] |
| - GitHub: [link] |
| - Training notebook: [Colab link] |
| - Blog: [HF post link] |
| - Video: [YouTube link] |
| - **Questions?** |
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