2026-04-12 | 🌟 Launching Positivity Bias — A New Auto Blog Series 🤖
🎯 The Problem
📰 The Noise launched recently as a daily AI news digest covering current events from high-quality sources worldwide. 🌍 It does a great job answering the question: what is everyone talking about? 😔 But global news tends to be heavy. 🔥 Conflicts, economic anxiety, political turmoil, and climate disasters dominate the headlines. 📊 That is the reality of what makes news, and The Noise should keep reporting it honestly.
🤔 But progress is also real. 💊 Diseases get cured. 🕊️ Diplomats find common ground. 🔬 Scientists make discoveries that change lives. 🤝 Communities rebuild and people do extraordinary things for each other. 📉 These stories get drowned out by the loudness of crisis and conflict.
💡 The Solution
🌟 Positivity Bias is a new daily auto blog series that intentionally seeks out stories of hope, joy, success, and progress. 🔍 It uses the same high-quality sources as The Noise — AP, Reuters, BBC, Nature, Science, The Guardian, and others — but it filters for the bright spots.
📰 Let The Noise report everything. 🌟 Let Positivity Bias find what went right.
🏗️ How It Works
🔧 Thanks to the blog series auto-discovery architecture, launching a new series requires zero Haskell code changes. 📋 The series identity is defined by a JSON config and an AGENTS.md system prompt, but a complete launch also includes an inaugural post and documentation updates across several files.
🗃️ The JSON configuration file tells the system when to run, which AI models to use, and how to identify the series. 🌟 Positivity Bias runs at 6 AM Pacific, the same hour as The Noise, using Gemini 2.5 Flash for its Google Search grounding capability. 🛡️ Running at the same hour is safe because all tasks execute sequentially with a 30-second inter-task delay, and each API call retries with exponential backoff on rate limit errors.
📝 The AGENTS.md file defines the series identity, voice, editorial standards, and post structure. 🧠 This is the system prompt that shapes every post the AI generates. 🌟 For Positivity Bias, this means searching specifically for positive developments across all domains, organizing them into thematic clusters, and closing each post with an original synthesis section called The Momentum that connects dots across bright spots to identify larger patterns of progress.
📰 The inaugural post gives the series a voice from day one and provides the automation with context for generating subsequent posts. 🌍 The first Positivity Bias post covers 11 real positive developments from around the world, from malaria vaccine milestones to humpback whale population recovery.
🔄 The discovery system automatically handles everything else: scheduling, prompt assembly, comment integration, recap detection, image generation, vault syncing, and index page creation.
📐 Editorial Design
🎭 The voice is warm but not saccharine. 📐 Every story must be factual, sourced from reputable outlets, and genuinely positive — not spin or silver-lining reframing of bad events. 🌍 Coverage is global because progress happens everywhere, not just in wealthy nations.
🔬 The series covers small wins alongside big breakthroughs. 🌱 A local community garden initiative can be as meaningful as a major scientific discovery. 📊 Stories span science, health, environment, technology, education, diplomacy, community, culture, economics, and whatever readers ask about.
🚫 Importantly, the series never dismisses real problems. 🌟 It focuses on bright spots because progress deserves airtime, not because challenges are unimportant.
📅 Recap Structure
📆 Like The Noise, Positivity Bias follows a layered recap schedule. 🗓️ Weekly recaps on Sundays synthesize the week’s most significant positive developments. 📊 Monthly recaps identify emerging positive trends. 📈 Quarterly and annual recaps build a full accounting of what went right over longer time horizons.
🧪 Verification
✅ All 1543 existing tests pass with the new configuration. 🔍 Zero hlint hints. 🚀 The auto-discovery system picks up the new series configuration file without any changes to the Haskell source code, scheduler, or runner.
📂 Files Changed
🗃️ New files created:
- 📋 A series configuration JSON file specifying the schedule, model chain, icon, and priority user
- 📝 An AGENTS.md system prompt defining the series identity, voice, editorial guidelines, post structure, and topic domains
- 📰 An inaugural seed post covering 11 positive developments from around the world
- 📄 A product and engineering spec documenting the series architecture, editorial standards, and relationship to The Noise
- 🚀 A blog series launch checklist spec documenting everything that must be in a PR when launching a new series
📝 Documentation updates:
- 📖 The README was updated with the new series in the content organization table, schedule table, environment variables, and specs table
- 📊 The blog generation spec was updated with the new series count and configuration table entry
- ⏰ The scheduled tasks spec was updated with the new data flow entry, schedule table row, and model chain table row
- 🔍 The blog series discovery spec was updated to reference the launch checklist
- 🤖 The root AGENTS.md was updated with a new section linking to the launch checklist
📚 Book Recommendations
📖 Similar
- Factfulness by Hans Rosling is relevant because it systematically demonstrates how the world is better than most people think, using data to counter the negativity instinct that dominates how we consume news
- Humankind by Rutger Bregman is relevant because it makes the case that humans are fundamentally cooperative and kind, exactly the kind of stories Positivity Bias seeks to surface
- Enlightenment Now by Steven Pinker is relevant because it documents long-term trends in human progress across health, wealth, safety, and knowledge, providing the macro context for the daily bright spots this series will cover
↔️ Contrasting
- The Uninhabitable Earth by David Wallace-Wells offers an unflinching look at climate catastrophe, representing the kind of necessary but heavy reporting that The Noise covers while Positivity Bias complements with stories of environmental progress and solutions
- 📺💀 Amusing Ourselves to Death: Public Discourse in the Age of Show Business by Neil Postman argues that entertainment-oriented media trivializes discourse, raising the question of whether a positivity-focused news filter might inadvertently reduce engagement with serious problems
🔗 Related
- Good News by David Byrne explores the practice of intentionally seeking positive stories as an antidote to information overload and despair
- The Progress Principle by Teresa Amabile and Steven Kramer examines how awareness of small wins and forward progress is one of the most powerful motivators of human performance and well-being
- Upstream by Dan Heath investigates how people and organizations solve problems before they happen, connecting to the preventive and proactive stories Positivity Bias aims to surface