State of LLM Apps 2023 · Streamlit — AI architecture intelligence for tech-forward small business owners

Stop guessing about which AI tools actually work—get a data-driven breakdown of how today's LLM applications are built so you can make smarter software investment decisions for your business.

What It Does for Your Business

State of LLM Apps 2023 is an interactive dashboard that visualizes the architecture patterns, tech stacks, and design choices behind real-world large language model applications. Instead of reading scattered blog posts or vendor marketing, you see actual data about which AI frameworks, vector databases, and deployment methods successful companies are using right now. This helps small business owners, developers, and tech decision-makers understand what's proven versus what's still experimental.

Whether you're considering building an AI chatbot for customer service, evaluating whether to buy or build an internal AI tool, or just trying to understand the hype around AI infrastructure, this dashboard cuts through the noise. You'll see patterns in how companies structure their AI systems, which components are becoming standard, and where costs typically hide—helping you budget more accurately and avoid expensive mistakes when adopting AI tools.

Key Features

• Interactive Architecture Visualizations — See how top LLM apps connect different components (models, databases, APIs) in one clear diagram rather than reading technical documentation
• Tech Stack Comparison — Compare which databases, frameworks, and hosting platforms appear most frequently across successful implementations
• Real-World Application Examples — Study actual systems built by companies, not theoretical models, so you understand practical tradeoffs
• Component Popularity Tracking — Identify emerging technologies versus mature, battle-tested solutions to guide your tool selection
• Cost Insight Patterns — Understand which architectural choices typically cost more or less so you can plan your AI budget realistically
• Open, Searchable Database — Explore hundreds of LLM applications and filter by use case, industry, or tech component

Best For

Tech-forward small business owners evaluating AI adoption, software development agencies building LLM-powered features for clients, SaaS founders planning their AI product roadmap, consultants advising on AI strategy, and IT decision-makers comparing vendor solutions. Particularly valuable for e-commerce platforms adding AI search or recommendations, professional services firms considering AI-assisted content creation, and B2B software companies embedding AI capabilities.

Pricing

Free. Fully accessible dashboard with no payment required.

Business ROI

Using this dashboard saves your business 10-15 hours of research time otherwise spent reading scattered whitepapers, vendor comparisons, and technical blogs. By identifying proven architecture patterns before you invest, you avoid costly false starts—potentially saving $5,000-$25,000 in wasted development or consulting fees on approaches that don't scale. Small teams can make informed decisions about whether to use managed AI services (faster, higher cost per request) versus self-hosted solutions (cheaper at scale, more engineering effort), directly impacting your bottom line depending on your usage volume and timeline.