Eugene Yan · Tech & AI
TIER 4 2025-05-04
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<h1 class="title">Building News Agents for Daily News Recaps with MCP, Q, and tmux</h1>
<p class="date">
<info datetime="2025-05-04 00:00:00 +0000">
<span class="no-italics">[
<a class='tag' href="/tag/llm/">llm</a>
<a class='tag' href="/tag/learning/">learning</a>
<a class='tag' href="/tag/🛠/">🛠</a>
]
</span> · 8 min read
</info>
</p>
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<p>To better understand MCPs and agentic workflows, I built news-agents to help me generate a daily news recap. It’s built on <a href="https://docs.aws.amazon.com/amazonq/latest/qdeveloper-ug/command-line.html" target="_blank">Amazon Q CLI</a> and <a href="https://modelcontextprotocol.io" target="_blank">MCP</a>. The former provides the agentic framework and the latter provides news feeds via tools. It also uses <a href="https://github.com/tmux/tmux/wiki" target="_blank">tmux</a> to spawn and display each sub-agent’s work. At a high level, here’s how it works:</p>
<div class="language-markdown highlighter-rouge"><div class="highlight"><pre class="highlight"><code>Main Agent (in the main tmux pane)
├── Read feeds.txt
├── Split feeds into 3 chunks
├── Spawns 3 Sub-Agents (in separate tmux panes)
│ ├── Sub-Agent #1
│ │ ├── Process feeds in chunk 1
│ │ └── Report back when done
│ ├── Sub-Agent #2
│ │ ├── Process feeds in chunk 2
│ │ └── Report back when done
│ └── Sub-Agent #3
│ ├── Process feeds in chunk 3
│ └── Report back when done
└── Combine everything into main-summary.md
</code></pre></div></div>
<p>Here, we’ll walk through how the MCP tools are built and how the main agent spawns and monitors sub-agents. Each sub-agent processes its allocated news feeds and generates summaries for each feed. The main agent then combines these summaries into a final summary. Here’s the three-minute 1080p demo (watch till at least 0:30):</p>
<iframe width="800" height="405" src="https://www.youtube.com/embed/q41YevguhQw?si=m3VfLXlq_zIUPK4j" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen=""></iframe>
<h2 id="setting-up-mcps-for-news-feeds">Setting up MCPs for news feeds</h2>
<p>Each news feed has its own rss reader, parser, and formatter. These handle the unique structure and format of each feed. (Perhaps in future we can just use an LLM to parse these large text blobs reliably and cheaply.) For example, here’s the code for fetching and parsing the Hacker News rss feed:</p>
<div class="language-python highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="k">async</span> <span class="k">def</span> <span class="nf">fetch_hn_rss</span><span class="p">(</span><span class="n">feed_url</span><span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-></span> <span class="nb">str</span><span class="p">:</span>
<span class="s">"""
Fetch Hacker News RSS feed.
Args:
feed_url: URL of the RSS feed to fetch (defaults to Hacker News)
"""</span>
<span class="n">headers</span> <span class="o">=</span> <span class="p">{</span><span class="s">"User-Agent"</span><span class="p">:</span> <span class="n">USER_AGENT</span><span class="p">}</span>
<span class="k">async</span> <span class="k">with</span> <span class="n">httpx</span><span class="p">.</span><span class="n">AsyncClient</span><span class="p">()</span> <span class="k">as</span> <span class="n">client</span><span class="p">:</span>
<span class="k">try</span><span class="p">:</span>
<span class="n">response</span> <span class="o">=</span> <span class="k">await</span> <span class="n">client</span><span class="p">.</span><span class="n">get</span><span class="p">(</span><span class="n">feed_url</span><span class="p">,</span> <span class="n">headers</span><span class="o">=</span><span class="n">headers</span><span class="p">,</span> <span class="n">timeout</span><span class="o">=</span><span class="mf">10.0</span><span class="p">)</span>
<span class="n">response</span><span class="p">.</span><span class="n">raise_for_status</span><span class="p">()</span>
<span class="k">return</span> <span class="n">response</span><span class="p">.</span><span class="n">text</span>
<span class="k">except</span> <span class="n">httpx</span><span class="p">.</span><span class="n">HTTPError</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
<span class="k">return</span> <span class="sa">f</span><span class="s">"HTTP Error fetching RSS: </span><span class="si">{</span><span class="nb">str</span><span class="p">(</span><span class="n">e</span><span class="p">)</span><span class="si">}</span><span class="s">"</span>
<span class="k">except</span> <span class="n">httpx</span><span class="p">.</span><span class="n">TimeoutException</span><span class="p">:</span>
<span class="k">return</span> <span class="sa">f</span><span class="s">"Timeout fetching RSS from </span><span class="si">{</span><span class="n">feed_url</span><span class="si">}</span><span class="s">"</span>
<span class="k">except</span> <span class="nb">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
<span class="k">return</span> <span class="sa">f</span><span class="s">"Error fetching RSS: </span><span class="si">{</span><span class="nb">str</span><span class="p">(</span><span class="n">e</span><span class="p">)</span><span class="si">}</span><span class="s">"</span>
<span class="k">def</span> <span class="nf">parse_hn_rss</span><span class="p">(</span><span class="n">rss_content</span><span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-></span> <span class="n">List</span><span class="p">[</span><span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Any</span><span class="p">]]:</span>
<span class="s">"""Parse RSS content into a list of story dictionaries."""</span>
<span class="n">stories</span> <span class="o">=</span> <span class="p">[]</span>
<span class="k">try</span><span class="p">:</span>
<span class="n">root</span> <span class="o">=</span> <span class="n">ET</span><span class="p">.</span><span class="n">fromstring</span><span class="p">(</span><span class="n">rss_content</span><span class="p">)</span>
<span class="n">items</span> <span class="o">=</span> <span class="n">root</span><span class="p">.</span><span class="n">findall</span><span class="p">(</span><span class="s">".//item"</span><span class="p">)</span>
<span class="k">for</span> <span class="n">item</span> <span class="ow">in</span> <span class="n">items</span><span class="p">:</span>
<span class="n">story</span> <span class="o">=</span> <span class="p">{</span>
<span class="s">"title"</span><span class="p">:</span> <span class="n">item</span><span class="p">.</span><span class="n">find</span><span class="p">(</span><span class="s">"title"</span><span class="p">).</span><span class="n">text</span>
<span class="k">if</span> <span class="n">item</span><span class="p">.</span><span class="n">find</span><span class="p">(</span><span class="s">"title"</span><span class="p">)</span> <span class="ow">is</span> <span class="ow">not</span> <span class="bp">None</span>
<span class="k">else</span> <span class="s">"No title"</span><span class="p">,</span>
<span class="s">"link"</span><span class="p">:</span> <span class="n">item</span><span class="p">.</span><span class="n">find</span><span class="p">(</span><span class="s">"link"</span><span class="p">).</span><span class="n">text</span> <span class="k">if</span> <span class="n">item</span><span class="p">.</span><span class="n">find</span><span class="p">(</span><span class="s">"link"</span><span class="p">)</span> <span class="ow">is</span> <span class="ow">not</span> <span class="bp">None</span> <span class="k">else</span> <span class="s">""</span><span class="p">,</span>
<span class="s">"description"</span><span class="p">:</span> <span class="n">item</span><span class="p">.</span><span class="n">find</span><span class="p">(</span><span class="s">"description"</span><span class="p">).</span><span class="n">text</span>
<span class="k">if</span> <span class="n">item</span><span class="p">.</span><span class="n">find</span><span class="p">(</span><span class="s">"description"</span><span class="p">)</span> <span class="ow">is</span> <span class="ow">not</span> <span class="bp">None</span>
<span class="k">else</span> <span class="s">"No description"</span><span class="p">,</span>
<span class="s">"pubDate"</span><span class="p">:</span> <span class="n">item</span><span class="p">.</span><span class="n">find</span><span class="p">(</span><span class="s">"pubDate"</span><span class="p">).</span><span class="n">text</span>
<span class="k">if</span> <span class="n">item</span><span class="p">.</span><span class="n">find</span><span class="p">(</span><span class="s">"pubDate"</span><span class="p">)</span> <span class="ow">is</span> <span class="ow">not</span> <span class="bp">None</span>
<span class="k">else</span> <span class="s">""</span><span class="p">,</span>
<span class="c1"># Any other fields we want to extract
</span> <span class="p">}</span>
<span class="n">stories</span><span class="p">.</span><span class="n">append</span><span class="p">(</span><span class="n">story</span><span class="p">)</span>
<span class="k">return</span> <span class="n">stories</span>
<span class="k">except</span> <span class="nb">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
<span class="k">return</span> <span class="p">[{</span><span class="s">"error"</span><span class="p">:</span> <span class="sa">f</span><span class="s">"Error parsing RSS: </span><span class="si">{</span><span class="nb">str</span><span class="p">(</span><span class="n">e</span><span class="p">)</span><span class="si">}</span><span class="s">"</span><span class="p">}]</span>
</code></pre></div></div>
<p>The MCP server then imports these parsers and sets up the MCP tools. MCP makes it easy to set up tools with the <code class="language-plaintext highlighter-rouge">@mcp.tool()</code> decorator. For example, here’s the Hacker News tool:</p>
<div class="language-python highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="c1"># Initialize FastMCP server
</span><span class="n">mcp</span> <span class="o">=</span> <span class="n">FastMCP</span><span class="p">(</span><span class="s">"news-mcp"</span><span class="p">)</span>
<span class="o">@</span><span class="n">mcp</span><span class="p">.</span><span class="n">tool</span><span class="p">()</span>
<span class="k">async</span> <span class="k">def</span> <span class="nf">get_hackernews_stories</span><span class="p">(</span>
<span class="n">feed_url</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="n">DEFAULT_HN_RSS_URL</span><span class="p">,</span> <span class="n">count</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">30</span>
<span class="p">)</span> <span class="o">-></span> <span class="nb">str</span><span class="p">:</span>
<span class="s">"""Get top stories from Hacker News.
Args:
feed_url: URL of the RSS feed to use (default: Hacker News)
count: Number of stories to return (default: 5)
"""</span>
<span class="n">rss_content</span> <span class="o">=</span> <span class="k">await</span> <span class="n">fetch_hn_rss</span><span class="p">(</span><span class="n">feed_url</span><span class="p">)</span>
<span class="k">if</span> <span class="n">rss_content</span><span class="p">.</span><span class="n">startswith</span><span class="p">(</span><span class="s">"Error"</span><span class="p">):</span>
<span class="k">return</span> <span class="n">rss_content</span>
<span class="n">stories</span> <span class="o">=</span> <span class="n">parse_hn_rss</span><span class="p">(</span><span class="n">rss_content</span><span class="p">)</span>
<span class="c1"># Limit to requested count
</span> <span class="n">stories</span> <span class="o">=</span> <span class="n">stories</span><span class="p">[:</span> <span class="nb">min</span><span class="p">(</span><span class="n">count</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">stories</span><span class="p">))]</span>
<span class="k">if</span> <span class="ow">not</span> <span class="n">stories</span><span class="p">:</span>
<span class="k">return</span> <span class="s">"No stories found."</span>
<span class="n">formatted_stories</span> <span class="o">=</span> <span class="p">[</span><span class="n">format_hn_story</span><span class="p">(</span><span class="n">story</span><span class="p">)</span> <span class="k">for</span> <span class="n">story</span> <span class="ow">in</span> <span class="n">stories</span><span class="p">]</span>
<span class="k">return</span> <span class="s">"</span><span class="se">\n</span><span class="s">---</span><span class="se">\n</span><span class="s">"</span><span class="p">.</span><span class="n">join</span><span class="p">(</span><span class="n">formatted_stories</span><span class="p">)</span>
</code></pre></div></div>
<p>With this, here’s the tools that our agent has from both news-mcp and the built-ins:</p>
<div class="language-markdown highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="gt">> /tools</span>
Tool Permission
▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔
news_mcp (MCP):
<span class="p">-</span> news_mcp___get_wired_stories <span class="err">*</span> not trusted
<span class="p">-</span> news_mcp___get_techcrunch_stories <span class="err">*</span> not trusted
<span class="p">-</span> news_mcp___get_wallstreetjournal_stories <span class="err">*</span> not trusted
<span class="p">-</span> news_mcp___get_hackernews_stories <span class="err">*</span> not trusted
<span class="p">-</span> news_mcp___get_ainews_latest <span class="err">*</span> not trusted
Built-in:
<span class="p">-</span> fs_write <span class="err">*</span> not trusted
<span class="p">-</span> execute_bash <span class="err">*</span> trust read-only commands
<span class="p">-</span> report_issue <span class="err">*</span> trusted
<span class="p">-</span> fs_read <span class="err">*</span> trusted
<span class="p">-</span> use_aws <span class="err">*</span> trust read-only commands
</code></pre></div></div>
<h2 id="setting-up-agents-to-process-news">Setting up agents to process news</h2>
<p>Next, we’ll set up a multi-agent system to parse the news feeds and generate summaries. We’ll have a main agent (image below, top-left) that coordinates three sub-agents, each running in a separate tmux window (image below; bottom-left and right panes).</p>
<p><img style="max-width: 100%" src="/assets/news-agents.webp" loading="lazy" title="The main agent (top-left) with its newly spawned sub-agents" alt="The main agent (top-left) with its newly spawned sub-agents" /></p>
<p class="image-caption">The main agent (top-left) with its newly spawned sub-agents</p>
<p>The main agent will first divide the news feeds into three groups. Then, it’ll spawn three sub-agents, each assigned to a group of news feeds. In the demo, these sub-agents are displayed as a separate tmux window for each sub-agent.</p>
<div class="language-markdown highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="gh"># Main Agent - Multi-Agent Task Coordinator</span>
<span class="gu">## Role</span>
You are the primary coordinating agent responsible for distributing tasks among
sub-agents and aggregating their results.
<span class="p">-</span> Read feeds.txt for the input feeds
<span class="p">-</span> Read context/sub-agent.md to understand your sub agents
<span class="p">-</span> Return the summary in the format of context/main-summary-template.md
<span class="gu">## Task Assignment Instructions</span>
Use the following message format when assigning tasks: "You are Agent [NUMBER].
Read the instructions at /context/sub-agent.md and execute it. Here are the
feeds to process: [FEEDS]"
...
</code></pre></div></div>
<p class="image-caption">Truncated instructions for main agent</p>
<p>Then, the sub-agents will process their assigned news feeds and generate summaries for each of them. The sub-agent also categorizes stories within each feed, such as AI/ML, technology, business, etc. Throughout this process, the sub-agents display status updates. When the sub-agent finishes processing its assigned feeds, it displays a final completion status.</p>
<div class="language-markdown highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="gh"># Sub-Agent - Task Processor</span>
<span class="gu">## Role</span>
You are a specialized processing agent designed to execute assigned tasks
independently while reporting progress to the main coordinating agent.
Process each feed individually and completely before moving to the next one.
Write the summaries to summaries/ which has already been created.
Return the summary in the format of context/sub-summary-template.md.
...
</code></pre></div></div>
<p class="image-caption">Truncated instructions for sub-agent</p>
<p>While the sub-agents are processing their assigned feeds, the main agent monitors their progress. When all sub-agents are done, the main agent reads the individual feed summaries and combines them into a final summary.</p>
<h2 id="defining-the-news-feeds">Defining the news feeds</h2>
<p>Finally, we define the news feeds in <a href="https://github.com/eugeneyan/news-agents/blob/main/feeds.txt" target="_blank">feeds.txt</a> below. We have six feeds: Hacker News, The Wall Street Journal Tech, The Wall Street Journal Markets, TechCrunch, AI News, and Wired.</p>
<div class="language-markdown highlighter-rouge"><div class="highlight"><pre class="highlight"><code>hackernews: https://news.ycombinator.com/rss
wsj-tech: https://feeds.content.dowjones.io/public/rss/RSSWSJD
wsj-markets: https://feeds.content.dowjones.io/public/rss/RSSMarketsMain
techcrunch: https://techcrunch.com/feed/
ainews: https://news.smol.ai/rss.xml
wired: https://www.wired.com/feed/tag/ai/latest/rss
</code></pre></div></div>
<p>And here’s the truncated <a href="https://github.com/eugeneyan/news-agents/blob/main/summaries/main-summary.md" target="_blank">main-summary</a> it generated for 4th May.</p>
<div class="language-markdown highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="gh"># News for May 4, 2025</span>
<span class="gu">### Global Statistics</span>
<span class="p">-</span> <span class="gs">**Total Items Across Sources:**</span> 124
<span class="p">-</span> <span class="gs">**Sources:**</span> 6 (Hacker News, WSJ Tech, WSJ Markets, TechCrunch, AI News, Wired)
<span class="p">-</span> <span class="gs">**Date Range Covered:**</span> May 2-4, 2025
<span class="p">-</span> <span class="gs">**Total Categories Identified:**</span> 42
<span class="gu">### Category Distribution</span>
| Category | Count | Percentage | Top Source |
|----------|-------|------------|------------|
| AI/Machine Learning | 31 | 25% | AI News |
| Business/Finance | 18 | 14.5% | WSJ Markets |
| Technology | 16 | 12.9% | Hacker News |
| Politics/Government | 7 | 5.6% | Wired |
| Cybersecurity/Privacy | 6 | 4.8% | TechCrunch |
| Trade Policy | 6 | 4.8% | WSJ Markets |
<span class="p">
---
</span>
<span class="gu">## Cross-Source Trends</span>
<span class="gu">### Global Top 5 Topics</span>
<span class="p">
1.</span> <span class="gs">**AI Integration Across Industries**</span>
<span class="p"> -</span> Mentions across sources: 31
<span class="p"> -</span> Key sources: AI News, WSJ Tech, TechCrunch, Wired
<span class="p"> -</span> Representative headlines: "AI Agents Are Learning How to Collaborate. Companies
Need to Work With Them", "Agent-to-Agent (A2A) Collaboration", "Nvidia CEO Says
All Companies Will Need 'AI Factories'"
<span class="p">
2.</span> <span class="gs">**Trade Policy and Tariff Impact**</span>
<span class="p"> -</span> Mentions across sources: 12
<span class="p"> -</span> Key sources: WSJ Markets, TechCrunch, WSJ Tech
<span class="p"> -</span> Representative headlines: "Temu stops shipping products from China to the U.S.",
"Car Buyers Rushing to Beat Tariffs Find It's Tougher to Get Financing",
"The Future of Gadgets: Fewer Updates, More Subscriptions, Bigger Price Tags"
<span class="p">
3.</span> <span class="gs">**Government AI Implementation**</span>
<span class="p"> -</span> Mentions across sources: 7
<span class="p"> -</span> Key sources: Wired, AI News
<span class="p"> -</span> Representative headlines: "DOGE Is in Its AI Era", "DOGE Put a College Student
in Charge of Using AI to Rewrite Regulations", "A DOGE Recruiter Is Staffing a
Project to Deploy AI Agents Across the US Government"
<span class="p">
4.</span> <span class="gs">**AI Safety and Regulation Concerns**</span>
<span class="p"> -</span> Mentions across sources: 9
<span class="p"> -</span> Key sources: TechCrunch, WSJ Tech, Wired
<span class="p"> -</span> Representative headlines: "One of Google's recent Gemini AI models scores worse on
safety", "AI chatbots are 'juicing engagement' instead of being useful", "Dozens
of YouTube Channels Are Showing AI-Generated Cartoon Gore and Fetish Content"
...
</code></pre></div></div>
<p>Try it for yourself! Install <a href="https://docs.aws.amazon.com/amazonq/latest/qdeveloper-ug/command-line-installing.html" target="_blank">Amazon Q CLI</a> and play with the code here: <a href="https://github.com/eugeneyan/news-agents" target="_blank">news-agents</a>.</p>
<div class="language-bash highlighter-rouge"><div class="highlight"><pre class="highlight"><code>git clone https://github.com/eugeneyan/news-agents.git
<span class="nb">cd </span>news-agents
uv <span class="nb">sync</span> <span class="c"># Sync dependencies</span>
uv tree <span class="c"># Check httpx and mcp[cli] are installed</span>
q chat <span class="nt">--trust-all-tools</span> <span class="c"># Start Q</span>
/context add <span class="nt">--global</span> context/agents.md <span class="c"># Add system context for multi-agents</span>
Q, <span class="nb">read </span>context/main-agent.md and spin up sub agents to execute it. <span class="c"># Start main agent</span>
</code></pre></div></div>
<p class="image-caption">• • •</p>
<p>Initially, I wanted to host this as a web app, perhaps on a platform like <a href="https://www.daytona.io" target="_blank">Daytona</a>. However, I quickly learned that building remote MCPs isn’t trivial, especially with only a couple of weekend hours to hack on this. For now, I’ll explore applying this setup to other use cases such as parsing design docs and <a href="https://aws.amazon.com/blogs/mt/why-you-should-develop-a-correction-of-error-coe/" target="_blank">COEs</a>, or multi-agent writing and coding workflows. If you’re also experimenting with MCPs or agentic workflows, I’d love to <a href="https://x.com/eugeneyan" target="_blank">hear from you</a>!</p>
<br>
<p>If you found this useful, please cite this write-up as:</p>
<blockquote class="blockquote-citation">
<p>Yan, Ziyou. (May 2025). Building News Agents for Daily News Recaps with MCP, Q, and tmux. eugeneyan.com.
https://eugeneyan.com/writing/news-agents/.</p>
</blockquote>
<p>or</p>
<div class="citation"><pre><code>@article{yan2025news-agents,
title = {Building News Agents for Daily News Recaps with MCP, Q, and tmux},
author = {Yan, Ziyou},
journal = {eugeneyan.com},
year = {2025},
month = {May},
url = {https://eugeneyan.com/writing/news-agents/}
}</code></pre>
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title: '', // Custom title is in _layouts/post.html
},
transformItems: function(items) {
const containerElement = document.getElementById('algolia-recs-container');
const relatedElement = document.getElementById('algolia-related-products');
// Hide the Related Products container element first if there are no items
if (items.length === 0 && relatedElement) {
relatedElement.style.display = 'none';
} else if (relatedElement) {
relatedElement.style.display = 'block';
}
// Then handle the main recommendations container visibility
if (items.length > 0 && containerElement) {
containerElement.style.display = 'block';
} else if (containerElement && !document.getElementById('algolia-fbt').hasChildNodes()) {
containerElement.style.display = 'none';
} else {
}
return items;
},
templates: {
header() { // Removed unused results, html parameters
// Return a PLAIN string for the header
return '<h4 class="algolia-recs-section-header">You Might Also Like (content-based)</h4>';
},
item: function(hit, { html, sendEvent }) { // Added sendEvent to params
const itemUrl = `${hit.url || '#'}`;
const indexName = 'eugeneyan.com'; // Get index name for insights
let imageUrl;
// Ensure hit.image is not null, undefined, or an empty/whitespace string before using it.
if (hit.image && typeof hit.image === 'string' && hit.image.trim() !== '') {
imageUrl = `/assets/og_image/${hit.image}`;
} else {
imageUrl = `/assets/og_image/default-v4.jpg`; // Default image
}
let scoreValue = null;
if (typeof hit.score === 'number') scoreValue = hit.score.toFixed(2);
else if (typeof hit._score === 'number') scoreValue = hit._score.toFixed(2);
// else if (typeof hit.your_custom_score_field === 'number') scoreValue = hit.your_custom_score_field.toFixed(2);
const scoreElement = scoreValue ? `<div class="recommendation-score"><svg viewbox="0 0 24 24" class="recommendation-score-icon" xmlns="http://www.w3.org/2000/svg"><path d="M16 6l2.29 2.29-4.88 4.88-4-4L2 16.59 3.41 18l6-6 4 4 6.3-6.29L22 12V6h-6z"></path></svg>${scoreValue}</div>` : '';
const imageAndScoreTag = `
<div class="recommendation-image-container">
<img src="${imageUrl}" alt="${hit.title || 'Recommendation cover image'}">
${scoreElement}
</div>`;
const title = hit.title || 'Untitled Post';
return `
<a href="${itemUrl}"
class="ais-RelatedProducts-item-link-wrapper"
onClick="${() => {
sendEvent('click', hit, 'Related Item Clicked');
}}"
>
${imageAndScoreTag}
<div class="related-product-title">${title}</div>
</a>
`;
},
empty(results, { html }) {
const containerElement = document.getElementById('algolia-recs-container');
const relatedElement = document.getElementById('algolia-related-products');
// Hide Related Products container since there are no results
if (relatedElement) {
relatedElement.style.display = 'none';
}
// Check if the FBT widget also has no items before hiding the main container
const fbtWidgetContainer = document.getElementById('algolia-fbt');
if (containerElement && (!fbtWidgetContainer || !fbtWidgetContainer.hasChildNodes())) {
containerElement.style.display = 'none';
}
// Return an empty string to prevent rendering 'undefined'
return '';
}
}
})
]);
relatedSearch.start();
}
function initFrequentlyBoughtTogether() {
// Ensure container exists
if (!document.getElementById('algolia-fbt')) {
// Container not found, stopping initialization
return;
}
const recSearchClient = algoliasearch(
'2XJCLEABQD',
'b61ec4cb64bd32d62c053466fccbfa43'
);
const fbtSearch = instantsearch({
indexName: 'eugeneyan.com',
searchClient: recSearchClient,
clickAnalytics: true,
insights: true, // Enable insights for click tracking on recommendations
});
fbtSearch.addWidgets([
instantsearch.widgets.frequentlyBoughtTogether({
container: '#algolia-fbt',
objectIDs: ['/writing/news-agents/'],
limit: 3,
queryParameters: {
attributesToRetrieve: ['title', 'url', 'image', 'score', '_score'], // Specify only needed attributes
attributesToHighlight: [], // Disable highlighting
attributesToSnippet: [] // Disable snippeting
},
translations: {
title: '', // Custom title is in _layouts/post.html
},
transformItems: function(items) {
const containerElement = document.getElementById('algolia-recs-container');
if (items.length > 0 && containerElement) {
containerElement.style.display = 'block';
} else if (containerElement && !document.getElementById('algolia-related-products').hasChildNodes()) {
containerElement.style.display = 'none';
} else {
}
return items;
},
templates: {
header() {
// Return a PLAIN string for the header - only if we have items to display
// The header should not render if there's no content
return '<h4 class="algolia-recs-section-header">Frequently Read Together (behavioral-based)</h4>';
},
item: function(hit, { html, sendEvent }) {
const itemUrl = `${hit.url || '#'}`;
const indexName = 'eugeneyan.com'; // Get index name for insights
let imageUrl;
// Ensure hit.image is not null, undefined, or an empty/whitespace string before using it.
if (hit.image && typeof hit.image === 'string' && hit.image.trim() !== '') {
imageUrl = `/assets/og_image/${hit.image}`;
} else {
imageUrl = `/assets/og_image/default-v4.jpg`; // Default image
}
let scoreValue = null;
if (typeof hit.score === 'number') scoreValue = hit.score.toFixed(2);
else if (typeof hit._score === 'number') scoreValue = hit._score.toFixed(2);
// else if (typeof hit.your_custom_score_field === 'number') scoreValue = hit.your_custom_score_field.toFixed(2);
const scoreElement = scoreValue ? `<div class="recommendation-score"><svg viewbox="0 0 24 24" class="recommendation-score-icon" xmlns="http://www.w3.org/2000/svg"><path d="M16 6l2.29 2.29-4.88 4.88-4-4L2 16.59 3.41 18l6-6 4 4 6.3-6.29L22 12V6h-6z"></path></svg>${scoreValue}</div>` : '';
const imageAndScoreTag = `
<div class="recommendation-image-container">
<img src="${imageUrl}" alt="${hit.title || 'Recommendation cover image'}">
${scoreElement}
</div>`;
const title = hit.title || 'Untitled Post';
return `
<a href="${itemUrl}"
class="ais-FrequentlyBoughtTogether-item-link-wrapper"
onClick="${() => {
sendEvent('click', hit, 'FBT Item Clicked');
}}"
>
${imageAndScoreTag}
<div class="fbt-product-title">${title}</div>
</a>
`;
},
empty(results, { html }) {
const containerElement = document.getElementById('algolia-recs-container');
const fbtElement = document.getElementById('algolia-fbt');
// Hide FBT container since there are no results
if (fbtElement) {
fbtElement.style.display = 'none';
}
// Check if the Related Products widget also has no items before hiding the main container
const relatedWidgetContainer = document.getElementById('algolia-related-products');
if (containerElement && (!relatedWidgetContainer || !relatedWidgetContainer.hasChildNodes())) {
containerElement.style.display = 'none';
}
// Return an empty string to prevent rendering 'undefined'
return '';
}
}
})
]);
fbtSearch.start();
}
document.addEventListener('DOMContentLoaded', function() {
let recsLoaded = false;
function checkLoad() {
if (recsLoaded) return;
if ((window.scrollY + window.innerHeight) >= document.body.scrollHeight - 500) {
recsLoaded = true;
window.removeEventListener('scroll', checkLoad);
initAlgoliaRecommendations();
}
}
window.addEventListener('scroll', checkLoad, { passive: true });
checkLoad();
});
</script>
</div>
<br>
<!-- <div id="algolia-recs-container" style="display: none;">
<div id="algolia-related-products" style="margin-bottom: 2em;"></div>
<style>
/* Common styles for both recommendation widgets */
.algolia-recs-section-header {
font-family: 'Raleway', Helvetica, sans-serif;
font-size: 1em; /* Adjust as needed, smaller than default h3 */
font-weight: bold;
margin-top: 0; /* Remove or reduce top margin */
margin-bottom: 15px; /* Space between header and recommendation cards */
color: var(--c-text); /* Use theme's text color */
font-style: italic;
}
/* Related Products Widget Styles */
#algolia-related-products .ais-RelatedProducts-list {
display: flex;
flex-direction: row; /* Arrange items horizontally */
flex-wrap: nowrap; /* Prevent wrapping to new lines, if possible */
justify-content: flex-start; /* Align items to the start of the container */
padding-left: 0; /* Remove default list padding */
list-style-type: none; /* Remove list bullets */
margin: 0;
}
#algolia-related-products .ais-RelatedProducts-item {
width: 32%; /* Adjust for 3 items: 32% * 3 items + 2% * 2 margins = 100% */
margin-right: 2%;
box-sizing: border-box; /* Include padding and border in the element's total width */
/* Optional: Basic card styling (uncomment to use) */
border: 1px solid color-mix(in srgb, var(--c-background) 85%, var(--c-text) 15%); /* Theme-aware light grey border */
padding: 0; /* Remove overall card padding, will be handled by elements */
text-align: left; /* Or 'center' if you prefer */
background-color: var(--c-background);
border-radius: 4px;
box-shadow: 0 2px 4px rgba(0,0,0,0.1);
}
#algolia-related-products .ais-RelatedProducts-item:last-child {
margin-right: 0; /* No margin for the last item in the row */
}
/* Styling for images within recommendation items */
#algolia-related-products .ais-RelatedProducts-item img {
display: block; /* Can help remove extra space below image */
width: calc(100% - 4px); /* Full width minus 2px L/R margins */
max-width: 100%; /* Ensures image does not exceed container if intrinsically smaller */
/* height: auto; -- Controlled by inline style's max-height and object-fit */
object-fit: cover; /* Ensure image covers the area, also in inline style */
margin: 2px; /* 2px margin on top, left, right. Bottom is overridden by inline style. */
/* margin-bottom: 8px; -- This is set by inline style in JS template */
}
/* Styling for the wrapper link to make the whole card clickable */
#algolia-related-products .ais-RelatedProducts-item a.ais-RelatedProducts-item-link-wrapper {
display: block; /* Make the link fill the list item */
text-decoration: none; /* Remove underline */
color: inherit; /* Use parent's text color */
}
#algolia-related-products .related-product-title {
font-family: 'Raleway', Helvetica, sans-serif;
font-size: 0.75em;
display: -webkit-box;
-webkit-line-clamp: 2; /* Limit to 2 lines for WebKit browsers */
line-clamp: 2; /* Standard property */
-webkit-box-orient: vertical;
overflow: hidden;
text-overflow: ellipsis;
padding: 0 7px 7px 7px; /* 0 top, 7px L/R/B for text area */
line-height: 1.5; /* Adjust for better readability */
height: 3.3em; /* Current height: 3.3em. For 2 lines with 0.75em font & 1.5 line-height, calculated height would be 2.25em. */
color: var(--c-interactive); /* Use theme's interactive color */
}
/* This container will wrap the image and score, taking the original image's layout space. */
#algolia-related-products .ais-RelatedProducts-item .recommendation-image-container {
position: relative; /* For positioning the score absolutely within */
display: block; /* Matches original image display and ensures proper block layout */
width: calc(100% - 4px); /* Adopts width from original image styling */
margin: 2px; /* Adopts margin from original image styling */
margin-bottom: 8px; /* Adopts specific bottom margin from original image's inline style */
line-height: 0; /* Prevents unexpected space if child elements are treated as inline */
}
/* The image itself, now filling the container */
#algolia-related-products .ais-RelatedProducts-item .recommendation-image-container img {
display: block;
width: 100%; /* Fill the container's width */
max-width: 20em; /* Optional: retain original max-width constraint for the image content */
height: auto; /* Maintain aspect ratio by default */
max-height: 12em; /* Constrain image height (adjust as needed) */
object-fit: cover; /* Ensures image covers the allocated space, cropping if necessary */
margin: 0 auto; /* Center image if max-width kicks in and it's narrower than container */
}
/* The score overlay box */
#algolia-related-products .ais-RelatedProducts-item .recommendation-score {
position: absolute;
bottom: 3px; /* Padding from the bottom edge of the container */
right: 3px; /* Padding from the right edge of the container */
background-color: color-mix(in srgb, var(--c-background) 85%, var(--green) 15%); /* Theme-aware light green */
color: var(--green); /* Theme's green color for text */
padding: 3px 6px; /* Slightly adjusted padding */
font-family: 'Raleway', Helvetica, sans-serif;
font-size: 0.75em;
font-weight: bold;
border-radius: 10px; /* More rounded corners like the example */
border: 1px solid var(--green); /* Theme's green color for border */
line-height: 1; /* Critical for small text in a small box */
z-index: 10; /* Ensure it's above the image */
box-shadow: 0 1px 2px rgba(0,0,0,0.15); /* Softer shadow */
display: flex; /* To align icon and text nicely */
align-items: center; /* Vertically center icon and text */
}
/* Styling for the SVG icon within the score box */
#algolia-related-products .ais-RelatedProducts-item .recommendation-score-icon {
width: 0.9em; /* Scale with score's font size */
height: 0.9em;
vertical-align: -0.1em; /* Fine-tune vertical alignment */
margin-right: 4px; /* Space between icon and score number */
fill: var(--green); /* Theme's green color for icon */
}
</style>
<script>
// Function to load a script and return a promise
function loadScript(src) {
return new Promise((resolve, reject) => {
if (document.querySelector(`script[src="${src}"]`)) {
resolve(); // Already loaded
return;
}
const script = document.createElement('script');
script.src = src;
script.onload = () => resolve();
script.onerror = () => reject(new Error(`Script load error for ${src}`));
document.head.appendChild(script);
});
}
function initAlgoliaRecommendations() {
Promise.all([
loadScript('https://cdn.jsdelivr.net/npm/algoliasearch@4/dist/algoliasearch-lite.umd.js'),
loadScript('https://cdn.jsdelivr.net/npm/instantsearch.js@4')
])
.then(() => {
// Initialize the Related Products widget
initRelatedProducts();
})
.catch(error => {
// Handle error silently
});
}
function initRelatedProducts() {
// Ensure container exists
if (!document.getElementById('algolia-related-products')) {
// Container not found, stopping initialization
return;
}
const recSearchClient = algoliasearch(
'2XJCLEABQD',
'b61ec4cb64bd32d62c053466fccbfa43'
);
const relatedSearch = instantsearch({
indexName: 'eugeneyan.com',
searchClient: recSearchClient,
clickAnalytics: true,
insights: true, // Enable insights for click tracking on recommendations
});
relatedSearch.addWidgets([
instantsearch.widgets.relatedProducts({
container: '#algolia-related-products',
objectIDs: ['/writing/news-agents/'],
limit: 3,
queryParameters: {
attributesToRetrieve: ['title', 'url', 'image', 'score', '_score'], // Specify only needed attributes
attributesToHighlight: [], // Disable highlighting
attributesToSnippet: [] // Disable snippeting
},
translations: {
title: '', // Custom title is in _layouts/post.html
},
transformItems: function(items) {
const containerElement = document.getElementById('algolia-recs-container');
const relatedElement = document.getElementById('algolia-related-products');
if (items.length === 0) {
if (relatedElement) relatedElement.style.display = 'none';
if (containerElement) containerElement.style.display = 'none';
} else {
if (relatedElement) relatedElement.style.display = 'block';
if (containerElement) containerElement.style.display = 'block';
}
return items;
},
templates: {
header() { // Removed unused results, html parameters
// Return a PLAIN string for the header
return '<h4 class="algolia-recs-section-header">You Might Also Like</h4>';
},
item: function(hit, { html, sendEvent }) { // Added sendEvent to params
const itemUrl = `${hit.url || '#'}`;
const indexName = 'eugeneyan.com'; // Get index name for insights
let imageUrl;
// Ensure hit.image is not null, undefined, or an empty/whitespace string before using it.
if (hit.image && typeof hit.image === 'string' && hit.image.trim() !== '') {
imageUrl = `/assets/og_image/${hit.image}`;
} else {
imageUrl = `/assets/og_image/default-v4.jpg`; // Default image
}
let scoreValue = null;
if (typeof hit.score === 'number') scoreValue = hit.score.toFixed(2);
else if (typeof hit._score === 'number') scoreValue = hit._score.toFixed(2);
// else if (typeof hit.your_custom_score_field === 'number') scoreValue = hit.your_custom_score_field.toFixed(2);
const scoreElement = scoreValue ? `<div class="recommendation-score"><svg viewbox="0 0 24 24" class="recommendation-score-icon" xmlns="http://www.w3.org/2000/svg"><path d="M16 6l2.29 2.29-4.88 4.88-4-4L2 16.59 3.41 18l6-6 4 4 6.3-6.29L22 12V6h-6z"></path></svg>${scoreValue}</div>` : '';
const imageAndScoreTag = `
<div class="recommendation-image-container">
<img src="${imageUrl}" alt="${hit.title || 'Recommendation cover image'}">
${scoreElement}
</div>`;
const title = hit.title || 'Untitled Post';
return `
<a href="${itemUrl}"
class="ais-RelatedProducts-item-link-wrapper"
onClick="${() => {
sendEvent('click', hit, 'Related Item Clicked');
}}"
>
${imageAndScoreTag}
<div class="related-product-title">${title}</div>
</a>
`;
},
empty(results, { html }) {
const containerElement = document.getElementById('algolia-recs-container');
const relatedElement = document.getElementById('algolia-related-products');
if (relatedElement) {
relatedElement.style.display = 'none';
}
// If this 'empty' template is called, it means related products are empty.
// So, the main container should also be hidden.
if (containerElement) {
containerElement.style.display = 'none';
}
// Return an empty string to prevent rendering 'undefined'
return '';
}
}
})
]);
relatedSearch.start();
}
document.addEventListener('DOMContentLoaded', function() {
let recsLoaded = false;
function checkLoad() {
if (recsLoaded) return;
if ((window.scrollY + window.innerHeight) >= document.body.scrollHeight - 500) {
recsLoaded = true;
window.removeEventListener('scroll', checkLoad);
initAlgoliaRecommendations();
}
}
window.addEventListener('scroll', checkLoad, { passive: true });
checkLoad();
});
</script>
</div> -->
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<p>I'm a Member of Technical Staff at Anthropic. I work to bridge the field and the frontier, and help build safe, reliable AI systems that scale. I've led ML/AI teams at Amazon, Alibaba, Lazada, and a Healthtech Series A, and write about LLMs, RecSys, and engineering at <a href="https://eugeneyan.com/" target="_blank">eugeneyan.com</a>.</p>
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eventName = 'Site Page Read 50%';
} else {
// Two or more levels deep - considered a post
eventName = 'Post Read 50%';
}
}
// Send the convertedObjectIDs event to Algolia
aa('convertedObjectIDs', {
index: 'eugeneyan.com',
eventName: eventName,
objectIDs: [objectID]
});
}
});
</script>
</html>