feat(web): enhance demo blog post with LLM-generated sections

Update web/public/data/blog/posts/meta-week-13-season-1.json to show
what an LLM-enhanced meta report looks like. Adds:

- Counter-Strategy Spotlight section with narrative analysis
- Evolution Deep Dive subsection with generational insights
- Enhanced Looking Ahead section with specific predictions
- Structured tables for strategies, rising stars, rivalries, evolution
- Prediction standings leaderboard
- More detailed summary with key insights

This placeholder now accurately reflects the output of generateMetaReportWithLLM()
in cmd/acb-index-builder/blog.go, which adds these LLM-generated sections
to the template-based report.

Closes: bf-39q2
This commit is contained in:
jedarden 2026-05-26 13:38:22 -04:00
parent 7311952416
commit 639ae65ace

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@ -3,7 +3,7 @@
"title": "Week 13 Meta Report — Season 1",
"date": "2026-03-29",
"type": "meta-report",
"content_md": "# Week 13 Meta Report — Season 1\n\n## Overview\n\nThis week's competitive landscape analysis covers the AI Code Battle arena as we enter Week 13 of Season 1.\n\n## Top Strategies\n\nThe current meta favors **formation-based play** and **energy control**:\n\n- **Swarm Tactics**: Coordinated group movements continue to dominate the leaderboard\n- **Hunter Strategy**: Targeting isolated enemies remains highly effective\n- **Guardian Play**: Defensive core protection with cautious expansion holds steady\n\n## Rising Stars\n\nSeveral bots have shown impressive improvement this week:\n\n- New strategies are emerging around energy denial tactics\n- Map-specific adaptations are becoming more sophisticated\n\n## Key Rivalries\n\nThe battle for the top spot intensifies as SwarmBot and HunterBot continue their season-long rivalry.\n\n## Looking Ahead\n\nThe meta continues to evolve as bots adapt their strategies. Key trends to watch:\n\n- Formation-based play continues to dominate\n- Energy control remains crucial in early game\n- Adaptation to map layouts shows clear skill differentials\n\n---\n\n*Generated automatically by AI Code Battle index builder.*",
"summary": "Weekly competitive analysis: top strategies, rising stars, and key rivalries.",
"content_md": "# Week 13 Meta Report — Season 1\n\n## Overview\n\nThis week's competitive landscape analysis covers the AI Code Battle arena as we enter Week 13 of Season 1.\n\n## Top Strategies\n\nThe current meta favors **formation-based play** and **energy control**:\n\n| Strategy | Prevalence | Win Rate | Trend |\n|----------|------------|----------|-------|\n| Swarm Tactics | 34% | 58.2% | ↗ Rising |\n| Hunter Strategy | 28% | 55.7% | → Stable |\n| Guardian Play | 22% | 52.1% | ↘ Declining |\n| Rusher Aggression | 16% | 48.3% | → Stable |\n\n## Rising Stars\n\n| Bot | Rating Change | Matches Played | Notable |\n|-----|---------------|----------------|---------|\n| SwarmBot | +125 | 42 | Best win rate (66.7%) |\n| HunterBot | +98 | 38 | Dominant in 1v1 |\n| GathererBot | +87 | 35 | Improved energy efficiency |\n\n## Key Rivalries\n\n| Matchup | Head-to-Head | Most Recent |\n|---------|--------------|------------|\n| SwarmBot vs HunterBot | 12-8 (SwarmBot) | SwarmBot won in 23 turns |\n| GuardianBot vs RusherBot | 10-10 | GuardianBot won in 31 turns |\n| GathererBot vs RandomBot | 18-2 (GathererBot) | GathererBot won in 18 turns |\n\n## Counter-Strategy Spotlight\n\n**Anti-Swarm Tactics on the Rise**\n\nAs SwarmBot's formation-based play continues to dominate, observant players have developed effective counter-strategies. The most successful approach? **Decentralized pressure** — instead of clustering forces, successful challengers spread their units across multiple control points, forcing SwarmBot to divide its attention.\n\nHunterBot's recent 3-1 run against SwarmBot variants showcases this adaptation. By maintaining isolated units that can contest energy patches independently, HunterBot denies SwarmBot the concentrated engagements it thrives on. Expect this trend to accelerate as more bots incorporate modular positioning into their core logic.\n\n## Evolution Highlights\n\n| Generation | Best Bot | Rating | Novelty |\n|------------|----------|--------|---------|\n| Gen 7 | evo-swarm-07 | 1755 | High (formation adaptation) |\n| Gen 6 | evo-hunter-12 | 1720 | Medium (energy pathing) |\n| Gen 5 | evo-guard-03 | 1685 | Low (refined defense) |\n\n### Evolution Deep Dive\n\nThe seventh generation has produced a breakthrough: **dynamic formation scaling**. Unlike earlier generations that used fixed swarm patterns, Gen 7 bots adjust their cluster density based on map engagement metrics. evo-swarm-07 exemplifies this — it expands formations on open maps (wall_density < 15%) but contracts into tight cores on dense maps (wall_density > 30%).\n\nThis adaptability has proven devastating against static strategies. Traditional hunter bots, which excel at picking off isolated units, struggle against formations that fluidly transition between loose and tight configurations. The result? evo-swarm-07's 1755 rating — the highest evolved bot rating this season.\n\nLooking forward, expect Generation 8 to incorporate **predictive formation pre-positioning**. Early lineage analysis suggests bots are learning to anticipate engagement hotspots based on energy distribution, deploying formations before contact occurs. This could mark the shift from reactive to proactive swarm tactics.\n\n## Prediction Standings\n\n| Rank | Predictor | Correct | Accuracy | Streak |\n|------|-----------|---------|----------|--------|\n| 1 | MetaMaster | 42 | 70.0% | +5 |\n| 2 | StrategyScout | 38 | 63.3% | +3 |\n| 3 | EvolutionWatcher | 35 | 58.3% | -2 |\n\n## Season Progress\n\n**Week 13 of 16** — Championship seedings take shape with 3 weeks remaining. Current top 4 qualify for the tournament bracket.\n\n## Looking Ahead\n\n**The Meta in Week 14**\n\nThree trends will define next week's competitive landscape:\n\n1. **Anti-Formation Adaptation**: Expect a surge of decentralized strategies designed to exploit swarm overcommitment. Hunter variants are already incorporating scatter-on-contact logic.\n\n2. **Energy Denial Renaissance**: With formation play dominating, efficient energy denial makes a comeback. Look for Gatherer descendants to prioritize disruption over collection.\n\n3. **Map-Specific Specialization**: The wall_density correlation is now undeniable (r = 0.73). Bots that hard-code map-specific logic will gain ground at the expense of generalists.\n\n**Prediction**: SwarmBot's dominance faces its first real test. If anti-formation tactics breach 40% prevalence this week, we'll see the first significant rating volatility since Week 8.\n\n---\n\n*Generated automatically by AI Code Battle index builder.*",
"summary": "Weekly competitive analysis: Swarm Tactics at 34% prevalence with 58.2% win rate. Anti-Swarm Tactics on the rise as HunterBot finds success with decentralized pressure. Gen 7's evo-swarm-07 leads evolved bots at 1755 rating with dynamic formation scaling. Week 14 preview predicts anti-formation adaptation and energy denial renaissance.",
"tags": ["meta-report", "season-1"]
}