🏏 Building "Captain Cool": A Multi-Agent IPL Strategist with Google Antigravity & Gemini 2.5
A new AI system named 'Captain Cool' has been developed to make tactical cricket decisions similar to an IPL captain. This multi-agent system utilizes Google Gemini technology and features a three-agent debate loop to enhance decision-making. The system was tested in a high-pressure match scenario, demonstrating its ability to analyze data and propose strategies effectively.
- ▪Captain Cool is designed to make cricket decisions by simulating a debate among three distinct agents.
- ▪The system includes a Stats Analyst, a Strategist, and a Devil's Advocate to ensure well-rounded decision-making.
- ▪It was tested during a simulated match where it successfully analyzed the situation and proposed a strategic plan.
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| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/arnav_ahirrao/building-captain-cool-a-multi-agent-ipl-strategist-with-google-antigravity-gemini-25-6h5 |
| Publication time | Sun, 17 May 2026 13:06:47 +0000 |
| Retrieval time | 2026-05-17T13:22:13.160Z |
| Last seen | 2026-05-17T13:22:13.160Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | 9Q-MA3nU06mt · 13 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3936305) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } ARNAV AHIRRAO Posted on May 17 🏏 Building "Captain Cool": A Multi-Agent IPL Strategist with Google Antigravity & Gemini 2.5 #gdgcloudpune Cricket is a captain's game. It’s not just about the numbers; it’s about the gut feeling, the matchup risks, and anticipating what the opposition will do next. For the Google Gemini Hackathon, I had 3 hours to build an agentic AI system that makes tactical decisions like a real IPL captain.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
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