Release v1.2.0: Newspaper-style layout with major UI refinements

This release transforms PING into a sophisticated newspaper-style digital
publication with enhanced readability and professional presentation.

Major Features:
- New FeaturedPostHero component with full-width newspaper design
- Completely redesigned homepage with responsive newspaper grid layout
- Enhanced PostCard component with refined typography and spacing
- Improved mobile-first responsive design (mobile → tablet → desktop → 2XL)
- Archive section with multi-column layout for deeper content discovery

Technical Improvements:
- Enhanced blog post validation and error handling in lib/blog.ts
- Better date handling and normalization for scheduled posts
- Improved Dockerfile with correct content volume mount paths
- Fixed port configuration (3025 throughout stack)
- Updated Tailwind config with refined typography and newspaper aesthetics
- Added getFeaturedPost() function for hero selection

UI/UX Enhancements:
- Professional newspaper-style borders and dividers
- Improved dark mode styling throughout
- Better content hierarchy and visual flow
- Enhanced author bylines and metadata presentation
- Refined color palette with newspaper sophistication

Documentation:
- Added DESIGN_BRIEF_NEWSPAPER_LAYOUT.md detailing design principles
- Added TESTING_RESULTS_25_POSTS.md with test scenarios

This release establishes PING as a premium publication platform for
AI orchestration and contextual intelligence thought leadership.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
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---
title: "Why Latent Space Isn't Enough — and What We're Building Instead"
description: "Everyone's talking about the next generation of Retrieval-Augmented Generation (RAG) platforms. Latent Space is one of the most polished contenders, offering streamlined tools for building LLM-powered apps. But here's the problem: RAG as we know it is incomplete."
date: "2025-02-25"
publishDate: "2025-02-25T10:00:00.000Z"
author:
name: "Anthony Rawlins"
role: "CEO & Founder, CHORUS Services"
tags:
- "Retrieval Augmented Generation"
- "Gen AI"
- "rag"
featured: false
---
**The Latent Space Value Proposition**
Latent Space provides a developer-friendly way to stitch together embeddings, retrieval, and workflows. If youre building a chatbot or a knowledge assistant, it helps you get to “Hello World” quickly. Think of it as an **accelerator for app developers**.
**The Limits**
But once you go beyond prototypes, some cracks show:
* Context is retrieved, but it isnt structured in a reproducible or queryable way.
* Temporal information — what was true *when* — isnt captured.
* Justifications for why something was retrieved are opaque.
* Context doesnt move fluidly between agents; its app-bound.
**What Were Doing Differently**
Our approach (Chorus + BZZZ + UCXL) starts from a different premise: **context isnt an app feature, its infrastructure**.
* We treat knowledge like an addressable space, not just an embedding lookup.
* Temporal navigation is first-class, so you can ask not only “whats true” but “what was true last week” or “what changed between versions.”
* Provenance is baked in: retrieval comes with citations and justifications.
* And most importantly: our system isnt designed for a single app. Its designed for a network of agents to securely share, query, and evolve context.
**Conclusion**
Latent Space is a great product for teams shipping todays RAG-powered apps. But if you want to build **tomorrows distributed AI ecosystems**, you need infrastructure that goes beyond RAG. Thats what were building.
Why Latent Space Isnt Enough — and What Were Building Instead