Build with AI - APL GDG Pune
The article discusses a coding session focused on developing an AI sports strategist named 'Captain Cool'. It highlights the challenges of using AI for sports analytics and the importance of interactive reasoning over static data. The session emphasizes a shift in AI architecture to create more engaging and strategic commentary in sports.
- ▪The venue for the session was verified as Mumbai.
- ▪The AI model was designed to act as a sports strategist, showcasing the limitations of generic commentary.
- ▪The session utilized Google Antigravity and the ADK to enhance the AI's decision-making capabilities.
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Story provenance
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Record
| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/aaryan_gupta_8/build-with-ai-apl-gdg-pune-3 |
| Publication time | Sun, 17 May 2026 13:06:37 +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 | vj2i-D-W-1tW |
| 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)
WeSearch handling by dimension
| 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 === 3936301) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Aaryan Gupta Posted on May 17 Build with AI - APL GDG Pune #agents #ai #analytics #showdev 📊 Analyst Output: "Venue verified as Mumbai. Tool execution confirmed: Surface is a flat highway with high moisture levels. Humidity tracking at 72%. The leather will be exceptionally difficult to grip for spin bowling." ⚖️ Devil's Advocate Challenge: "Look at the match-ups.
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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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