I Built a Daily News Newsletter Bot with Hermes Agent — Here's Everything That Went Wrong (and Right)

May 27, 2026 · 2:54 AM UTC ·6 min read · 0 reactions · 0 comments · 30 views

#technology #development #newsletter #ai #open-source

TL;DR · WeSearch summary

The article details the author's experience building a daily news newsletter bot using Hermes Agent. It highlights various challenges faced during the development process, including debugging issues and configuration mistakes. The author shares valuable lessons learned from these experiences to help others in similar projects.

Key facts

▪The author aimed to create a daily email summarizing top news from various regions and topics.
▪Several technical problems arose, including a typo that caused significant debugging time and issues with container rebuilding that led to data loss.
▪The author emphasizes the importance of proper configuration and using the right tools to streamline the development process.

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DEV.to (Top) files mainly under programming. We currently carry 4,924 of its stories.

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Record

Original publisher	DEV.to (Top)
Canonical URL	https://dev.to/hema_nambi_66c9/i-built-a-daily-news-newsletter-bot-with-hermes-agent-heres-everything-that-went-wrong-and-531m
Publication time	Wed, 27 May 2026 02:54:58 +0000
Retrieval time	2026-05-27T03:07:56.299Z
Last seen	2026-05-27T03:07:56.299Z
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	AIi2jknzsuSo
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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Unknown

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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.

Open original publisher → Source rights JSON → Machine-readable provenance → Rights framework → WESEARCH-STORY-PROVENANCE-V1

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 === 3880718) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Hemalatha Nambiradje Posted on May 27 I Built a Daily News Newsletter Bot with Hermes Agent — Here's Everything That Went Wrong (and Right) #hermesagentchallenge #ai #agents #typescript Hermes Agent Challenge Submission: Build With Hermes Agent Submitted for the Hermes Agent Challenge The Idea I wanted one simple thing: a daily email that lands in my inbox every morning with the top news from Canada, the world, India, and the AI/tech space — plus a motivational quote and a health…

Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).

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