Demystifying AI Agents with Turtle & Gemma
The article discusses the Turtle-Gemma project, which combines AI with a nostalgic programming experience. Users can verbally request drawings, and the AI generates the corresponding code to create the images. This project serves as an engaging way to understand how AI agents operate and visualize their reasoning processes.
- ▪Turtle-Gemma allows users to request drawings by speaking into a web interface.
- ▪The project uses Google's Gemma model to process the input and generate drawing instructions.
- ▪It visually demonstrates AI reasoning by showing the sequential steps taken to create images.
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| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/googleai/demystifying-ai-agents-with-turtle-gemma-4ajj |
| Publication time | Tue, 19 May 2026 00:37:24 +0000 |
| Retrieval time | 2026-05-19T01:04:57.094Z |
| Last seen | 2026-05-19T01:04:57.094Z |
| 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 | TgWDmZTozlPP |
| 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 === 3714120) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } bebechien for Google AI Posted on May 19 • Originally published at bebechien.github.io Demystifying AI Agents with Turtle & Gemma #turtle #gemma #ai #agents 🐢 Speaking into Canvas If you're anything like me, your very first taste of "programming" might have involved a tiny triangle on a glowing CRT monitor. You typed FORWARD 100 and watched as the little turtle drew a line across the screen. It was pure magic. You were making the computer do things.
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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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