I built an AI agent that texts me LeetCode and system design summaries every morning, here's exactly how
Harsh Soni developed an AI agent that sends him daily summaries of his study notes via iMessage. The agent automates the process of selecting random topics from his notes and generating concise summaries. This system allows him to review important concepts without needing to open an app or establish new habits.
- ▪The AI agent sends daily summaries of LeetCode and system design topics to Harsh Soni's iMessage.
- ▪It uses a script that scans his Obsidian vault for notes and generates summaries using the Gemini API.
- ▪The summaries are sent automatically every morning at 8am, providing a convenient way to refresh his memory.
2 outlets in our directory ran this story, first to last over 36 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/harsh06/i-built-an-ai-agent-that-texts-me-leetcode-and-system-design-summaries-every-morning-heres-3lb3 |
| Publication time | Sun, 24 May 2026 09:06:59 +0000 |
| Retrieval time | 2026-05-24T09:37:31.883Z |
| Last seen | 2026-05-24T09:37:31.883Z |
| 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 | 2Oqbp2HVdTj4 · 3 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)
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 === 3948600) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Harsh Soni Posted on May 24 I built an AI agent that texts me LeetCode and system design summaries every morning, here's exactly how #ai #productivity #beginners #python Here's my problem: I study something once and completely forget it exists until the moment I actually need it, usually mid-interview, when it's too late. I wanted to fix this without adding another thing to my already full plate.
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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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