Skip to content
View ycb's full-sized avatar
3 followers · 0 following

Achievements

Achievement: Pull Sharkx2Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Quickdraw

Achievements

Achievement: Pull Sharkx2Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Quickdraw

Block or report ycb

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
ycb/README.md

👋 Peter Spannagle

AI product leader | Growth systems | Builder

Designing and delivering AI products for trust and growth

I build AI-driven products that deliver business outcomes. My background includes product management, UX, and front-end engineering. I've led 0→1 at hypergrowth startups (Aurora Solar, FalconX) and delivered impact at scale for global brands (Samsung, Meta, Salesforce). My experience with AI/ML includes building explainable AI at Meta and leading NLP chatbot design for 20M Samsung users. Over the last year I've been solo-building full-stack AI products: LLM pipelines, HITL systems, evals, and CI/CD.

🔎 What I Build

I'm interested in:

  • AI workflow design • Structured LLM pipelines • Growth instrumentation • Activation & retention systems • UX patterns for trust in AI • Evaluation frameworks for generative systems

My work emphasizes:

  • Clear problem framing • Structured outputs over vague completions • Instrumentation before intuition • Guardrails and failure handling • Shipping fast with measurable iteration loops

🏗 How I Think About AI Product Systems

I view AI product development as four layers. Here's how I think about it in practice:

  1. User Intent Layer — clarify job-to-be-done
  2. Orchestration Layer — structured prompts + routing
  3. Validation Layer — enforce schema, detect failure
  4. Measurement Layer — track behavioral impact

🚀 Flagship Projects

🎯 Job Finder — Local Job Intelligence Tools

AI agent that captures job listings, scores fit, and surfaces a ranked action queue.

  • Browser automation for multi-site searches
  • Deterministic fit scoring against a structured profile
  • De-duped results
  • Local SQLite means no data leaves your machine
  • Human-in-the-loop review

👉 See: job-finder

🧠 Narrata — AI Career Narrative Engine

AI system for structured cover letter and story generation.

  • Multi-stage prompt pipelines with retrieval-augmented generation and HITL
  • Structured JSON outputs + validation
  • Evaluation loops & quality scoring
  • Streaming architecture
  • CI/CD (main → staging, manual prod deploy)

👉 See: narrata-cover-letter-agent

☀️ Solar App — Clean Energy Field Tool

Mobile-first prototype guiding solar installers through a non-linear pre-inspection capture flow with photo/video requirements, auto-check simulation, and inspection reporting.

👉 See: solar-app

⚙️ AI Development Playbook

Operational guidelines for working effectively with AI copilots in production codebases.

👉 See: cursor-ai-coding-playbook

🛠 Stack & Tools

  • Claude, Codex, Cursor and MCP
  • React, TypeScript, Vite, Tailwind
  • Python and SQL
  • Supabase
  • Structured prompt pipelines
  • CI/CD automation
  • Event-driven workflows

📫 Contact

linkedin.com/in/pspan

peterspannagle.com

roadmaps.substack.com

Pinned Loading

  1. job-finder job-finder Public

    Job intelligence agent that captures LinkedIn saved searches, de-dupes results, scores fit against a structured profile, and surfaces a ranked action queue.

    JavaScript 1

  2. narrata-cover-letter-agent narrata-cover-letter-agent Public

    AI cover letter agent that helps PMs land more interviews via intelligent feedback, re-usable content and objective level assessment.

    TypeScript 2

  3. solar-app solar-app Public

    Mobile-first prototype that guides solar installers through a non-linear pre‑inspection capture flow. It enforces photo/video requirements, simulates an auto‑check, and provides a simple inspection…

    TypeScript 1

  4. cursor-ai-coding-playbook cursor-ai-coding-playbook Public

    Cursor rules to save time and money: lightweight rules to help AI copilots write better code, reduce compute cost, and keep teams moving fast.

    2

  5. free-feedback-tool-google-sheets free-feedback-tool-google-sheets Public

    Free and easy way to collect feedback on your web app. Floating Action Button, "Inspect Tool" selection, pin overlay, sentiment, categorization, email and open text. Google Apps Script instantly po…

    TypeScript 2

  6. cover-letter-agent-prototype cover-letter-agent-prototype Public

    Cover letter agent with job description parser, dynamic blocks logic, Google Drive and OpenAI integrations

    Python 1