# Claude Projects Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/claude-projects
> Markdown URL: https://aitinkerers.org/technologies/claude-projects.md
> Technology record last updated: 2026-02-23T01:40:12Z
> Generated: 2026-09-22T18:41:19Z

- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Quantifying the Unquantifiable: AI Agent That Measures Positioning Clarity](https://seattle.aitinkerers.org/talks/rsvp_N5yWDKhVfr4)

I built an AI agent (Claude Project) that solves a problem every technical company faces: positioning clarity degrades over time without anyone noticing. THE PROBLEM: Year 1: Your pitch deck, website, and sales materials are aligned Year 2: Different team members write different content Year 3: Your materials contradict each other—investors can't explain what you do This isn't a strategy problem. It's a communications architecture problem. THE SOLUTION: A Claude Project configured to quantify clarity across three dimensions: - Consistency: Do materials emphasize the same core concepts? - Focus: Is messaging concentrated or fragmented? - Alignment: Do materials support the same strategic positioning? Result: Concept Clarity Score (0-100) + specific divergence points THE DEMO: I'll analyze volunteer company materials live using the Claude Project: 1. Upload their website/deck content to the project 2. Show the agent generate Concept Clarity Score in real-time 3. Reveal top 3-5 divergence points with specific examples from their content 4. Walk through the system prompt engineering that makes this work 5. Explain the research foundation (100+ psychology studies on memory, comprehension, consistency) THE TECHNICAL DEPTH: - System prompt design for multi-dimensional analysis - Knowledge base integration (research papers, scoring frameworks) - Prompt engineering for quantitative scoring vs. qualitative feedback - How to get consistent, measurable outputs from LLMs - Building reliable agentic workflows in Claude Projects WHAT YOU'LL LEARN: - Advanced system prompt engineering for complex analysis tasks - Using LLMs for quantitative measurement (not just text generation) - Applying psychology research through AI agent configuration - Creating reproducible frameworks from subjective qualities - Real consulting use case (I'm using this with actual clients) This is a working tool solving real problems, not a prototype. I'll show you the actual system instructions, knowledge base structure, and live workflow. Adding a chat interface (https://github.com/SEMalytics/claude_project_chat) to help simplify the demo process.

- Event context: The Holiday Science Fair (Hot Cocoa, Cookies, and Demos!) — 2025-12-19 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_N5yWDKhVfr4