I built cyberplain with Hermes — here's what actually went down
The article discusses the author's experience building a cybersecurity education site called Cyberplain using an AI agent named Hermes. The site features 32 articles on various cybersecurity topics, a live news feed, and an interactive knowledge graph. The author highlights both the successes and challenges faced during the project, emphasizing the agent's ability to execute design and development tasks effectively.
- ▪Cyberplain is a plain-language cybersecurity education site with 32 articles covering fundamental topics.
- ▪The author directed the AI agent Hermes to build the entire system instead of coding it themselves.
- ▪The project included a live security news feed and an interactive knowledge graph, showcasing the agent's capabilities.
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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/imkarthikeyan/i-built-cyberplain-with-hermes-heres-what-actually-went-down-953 |
| Publication time | Sat, 30 May 2026 11:27:03 +0000 |
| Retrieval time | 2026-05-30T11:42:10.381Z |
| Last seen | 2026-05-30T11:42:10.381Z |
| 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 | r250RE8k-TRZ |
| 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 === 236404) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Karthikeyan Posted on May 30 I built cyberplain with Hermes — here's what actually went down #hermesagentchallenge #devchallenge #agents Hermes Agent Challenge Submission: Write About Hermes Agent This is a submission for the Hermes Agent Challenge: Write About Hermes Agent A few weeks ago I decided to build a cybersecurity education site. I was a complete beginner in the space. I knew the terms — phishing, malware, zero trust — but not the depth behind them.
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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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