Building a Multi-Agent AI Cricket Simulator in Vanilla JS
The article describes the development of a multi-agent AI cricket simulator called Captains HUD, built using vanilla JavaScript and powered by Google Gemini. It simulates real-time strategic debates among AI agents modeled after famous cricket captains and commentators. The project uses a single optimized 'Mega-Prompt' to generate structured JSON output, enabling a responsive and immersive broadcast-style user experience.
- ▪The simulator features AI agents including a Stats Analyst, Strategist, Devil's Advocate, and Commentary Desk.
- ▪Each agent represents real cricket personalities like MS Dhoni, Virat Kohli, and Harsha Bhogle.
- ▪A single 'Mega-Prompt' with structured JSON output reduces API calls and latency, improving performance.
- ▪The frontend uses setTimeout to stagger the display of AI-generated responses for a live-debate effect.
- ▪The project was built with vanilla HTML/CSS/JS, Google GenAI SDK, and Canvas Confetti for visual feedback.
2 outlets in our directory ran this story, first to last over 22 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
- ▪ Why is multi agent collaboration harder than building individual agents? — r/cscareerquestions
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| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/abhisar_e6b39568cf2011c11/building-a-multi-agent-ai-cricket-simulator-in-vanilla-js-4dba |
| Publication time | Sun, 17 May 2026 12:03:12 +0000 |
| Retrieval time | 2026-05-17T12:22:13.120Z |
| Last seen | 2026-05-17T12:22:13.120Z |
| 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 | hWJjYgQMr81B · 2 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 |
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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 === 3542710) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Abhisar Posted on May 17 Building a Multi-Agent AI Cricket Simulator in Vanilla JS #gdgcloudpune #gdgpune #buildwithai #ai "How I built a high-performance Sports HUD simulating cricket strategy using Google Gemini." tags: "javascript, ai, webdev, gemini" Github Repo Link - https://github.com/Forkzen/CaptainCool Demo Video Link - https://youtu.be/VudXVtMESMY Have you ever wondered how different cricket captains would handle the exact same high-pressure situation? Would MS Dhoni's…
Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).