Too Tired to Post 10 AI News Articles Daily? Kaihe AIBOX Auto-Grabs Trends, Writes Drafts, and Publishes on Schedule

📖 Glossary

AI Box (also known as Agent Computer / Agent PC), is a dedicated local hardware device that runs AI Agents. Pre-installed with an AI agent management system, plug-and-play, running 24/7. Users can remotely command AI to work via Discord, Slack, Telegram, WhatsApp, and more.

Abstract: The hardest part of content creation isn't writing — it's finding topics, writing, formatting, and scheduling every single day. Content Agents on Kaihe AIBOX can automatically grab trending topics, generate drafts, adapt to platform formats, and publish on schedule. You just review tomorrow's lineup before bed, and the Agents handle the rest overnight.

Li Wei runs an AI news WeChat Official Account, publishing three pieces daily: an industry update in the morning, an in-depth analysis at noon, and a tool recommendation in the evening.

"The hardest part isn't writing. It's figuring out what to write every day. Scroll through trending topics for half an hour, pick one, write, format, schedule. Content production alone takes 3 hours a day. On days with no inspiration, I'd stare at a blank document for half an hour."

In March, she set up a content Agent on Kaihe AIBOX A1. Her daily workflow now: spend 10 minutes before bed reviewing the next day's selected topics and drafts, click confirm, and the Agents handle everything overnight.

How Agents Help Her Produce Content

The Kaihe AIBOX A1 sits at home, connected to Wi-Fi, running 24/7. Four Agents deployed through the OpenClaw framework:

🔥 Trend Scraping Agent: Every morning at 6 AM, automatically scrapes AI-related trending topics from 36Kr, Huxiu, Jiqizhixin, HackerNews, and other platforms. Sorts by heat, generates a "Today's Hot Topics" list, and sends it to Li Wei's WeChat.

✍️ Writing Agent: Based on the top 3 topics from the hot list, auto-generates drafts. Each topic gets two versions: a deep-dive version (800-1000 words) and a quick-news version (300-400 words). Drafts are stored locally for Li Wei's review.

📐 Platform Adaptation Agent: Li Wei publishes to WeChat Official Account, Zhihu, and Toutiao simultaneously. This Agent adjusts the same draft for each platform's style — more formal for WeChat, more citation-heavy for Zhihu, more clickbait-style for Toutiao.

⏰ Scheduled Publishing Agent: After Li Wei reviews drafts, the Agent auto-publishes on the preset schedule. 8 AM on WeChat, noon on Zhihu, 6 PM on Toutiao. After publishing, it screenshots the result and notifies Li Wei via WeChat.

Throughout the process, Li Wei only does two things: picks topics from the morning hot list, and reviews the Agent's drafts in the evening. Everything else — scraping, writing, platform adaptation, scheduled publishing — is handled by Agents.

Actual Results

Task	Manual	Agent-Assisted	Daily Savings
Trend filtering	30 min	5 min (review list)	25 min
Writing	120 min	30 min (review & edit)	90 min
Platform adaptation	60 min	0 (automatic)	60 min
Scheduled publishing	15 min	0 (automatic)	15 min
Total	~225 min	~35 min	~190 min

Key point: The Agent's first draft isn't published directly — Li Wei reviews and edits. Her experience: about 70% of the Agent's draft is usable, the remaining 30% needs fine-tuning — adjusting phrasing, adding personal opinions, cutting generic sentences.

"The Agent handles 80% of the manual labor. I only do the 20% that requires judgment and refinement. Paradoxically, because I save time, I can add more of my own insights to each piece — article quality has gone up."

Originality Concerns

Content creators worry most: does Agent-written content count as original? Will platforms flag it as AI-generated?

Li Wei's approach: the Agent generates drafts, not final copies. She adds her own perspectives, swaps in different examples, and adjusts the argumentation angle. "The Agent builds the framework, fills in facts, and organizes the logic. But the 'soul' of the article — opinions, judgments, stance — that's mine. Platforms detect 'whether AI generated this,' but if you've made substantive modifications on top of AI output, it's your original content."

She uses three platforms with different AI content tolerance levels. Zhihu is strictest about AI content, so she adds more personal experience and specific cases to the Zhihu version to lower AI detection rates. Toutiao and WeChat are more lenient, so the Agent's drafts need fewer modifications.

Kaihe AIBOX's Role

Li Wei previously tried automating with ChatGPT API directly, but hit two problems: her computer needed to stay on running scripts, and multi-platform adaptation logic was complex to maintain.

Kaihe AIBOX solved both: the device runs 24/7 without a computer, and multi-Agent coordination is managed by the OpenClaw framework. She only needs to care about the business workflow — "trends → writing → publishing" — not the technical implementation.

The local multi-Agent + cloud LLM architecture's advantage: trend scraping and platform adaptation happen locally without API consumption. Only the writing step calls cloud LLMs. Three articles a day costs about 5-8 RMB in API fees — much cheaper than hiring a part-time editor.

Too Tired to Post 10 AI News Articles Daily? Kaihe AIBOX Auto-Grabs Trends, Writes Drafts, and Publishes on Schedule