AnyCompany Leader — Workshop

Day 1: Prompt Mastery & Smart Model Selection

Use AI better today — choose the right model, write better prompts, verify the output.

⚡ Interactive Explainers — How AI Works Under the Hood

• 🎯 The AI Hierarchy — From AI to Generative AI Interactive concentric rings — click each layer to explore AI → ML → Deep Learning → Gen AI with AnyCompany Finance examples Interactive
• ✂️ How AI Reads Text — Tokenizer (BPE) Watch text split into tokens, understand merge rules, see why some words cost more tokens Interactive
• 📊 From Tokens to Meaning — Embeddings How AI understands that "payment" and "transaction" are related — 3D embedding space explorer Interactive
• 🧠 The Transformer — How AI Thinks Self-attention heatmap, temperature slider, next-token prediction visualized Interactive
• 💰 Tokenization, Pricing & Model Selection Model pricing comparison, cost calculator, the 1-cent-or-1-dollar model choice, cost per assessment Reference

🏆 Day 1 Activities

• 📝 Prompt Engineering Best Practices 4 pillars, Chain-of-Thought, personas, structured outputs — interactive prompt builder with quality scoring Interactive
• 🔍 RAG — How AI Answers from Your Documents 6-step pipeline animation, document store with similarity scores, AnyCompany Finance scenarios Interactive

🏆 Day 1 Exercises

• 🔒 Governance & Trust Demo Bedrock Guardrails in action — PII redaction, prompt injection blocking, hallucination traps Demo
• 🏆 Prompt Exercise & AI Judge Competition Build your prompt template step-by-step (6 techniques), then compete — scored by AI on accuracy, completeness, structure, and safety 90 min

Day 2: Agentic AI — From Concept to Your First Agent

Understand autonomous AI, then build one for your team's process.

⚡ Interactive Explainers

• 🔀 4 Agentic Workflow Patterns — Animated Chaining, parallelization, routing, orchestration — step-by-step with finance scenarios Interactive
• 🏗️ The Automation Stack — Steering, Skills, Hooks & MCP When to use each layer, real-world scenarios, the "house rules + recipe + doorbell + kitchen" analogy Interactive
• 📋 Agentic Workflow Cheat Sheet Click-to-explore decision guide: which layers you need, scenario matching, Claude Cowork mapping, getting started in 20 min Interactive

🤖 Day 2 Activities

• 🛠️ Hands-On: Build Your First Agent in Claude Cowork Set up project → write steering rules → convert template to skill → add quality check → test full flow. Includes Python vs LLM decision (when to script vs when to use AI). 75 min
• 🗺️ Agent Design Canvas + AI Judge Competition Design your next agent for a real team process, submit for AI scoring, compete on the leaderboard 45 min

Resources & Reference

📋 Cheat Sheets & Frameworks

• 🧭 Model Selection Decision Framework Which model for which task — Haiku (fast/cheap) vs Sonnet (balanced) vs Opus (thorough) Reference
• ✅ AI Output Governance Checklist How to verify numbers, regulations, names/dates — trust levels L1 to L3 Reference
• 📋 Agentic Workflow Cheat Sheet One-page: steering (house rules) → skills (recipes) → hooks (doorbell) → MCP (kitchen equipment) Reference
• 🗺️ Agent Design Canvas Template Mission, pattern, autonomy level, data, guardrails, metrics, first milestone Reference

⚡ All Interactive Explainers

• ✂️Tokenizer (BPE)How AI reads and splits text into tokensInteractive
• 📊EmbeddingsHow AI understands meaning — 3D space explorerInteractive
• 🧠TransformerHow AI thinks — attention, temperature, next-token predictionInteractive
• 💰Tokenization & PricingModel costs, token calculator, cost optimizationReference
• 📝Prompt Engineering4 pillars, CoT, personas — interactive prompt builderInteractive
• 🔍RAG PipelineHow AI answers from your documentsInteractive
• 🔀Workflow Patterns4 agentic patterns animated with finance scenariosInteractive
• 🏗️Automation StackSteering + Skills + Hooks + MCP — when to use whatInteractive
• 📋Agentic Workflow Cheat SheetDecision guide, scenario matching, Cowork mappingInteractive