ProductivityBoost

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1. Idea to Prototype in 10 Minutes

For: Product Managers, Designers, Founders

Goal: Turn a raw idea into a tangible prototype rapidly

◆ Outline

Understand the User & Problem
- Define problem in one sentence
- Pinpoint user goal, environment, and friction
Solution Scoping
- Identify key workflows
- Prioritize what to prototype (functional first)
Visual Thinking
- Sketch interface using templates
- Draft rough UX flows and edge cases
Rapid Prototyping
- Use any visual builder to create a click-through flow
- Add basic logic (navigation, conditionals)
User Testing & Iteration
- Demo internally
- Collect 3 pieces of feedback and iterate
Debrief
- Share learnings, blockers, and next steps

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2. No-Code Foundations for Developers

For: Software Engineers, Automation Leads, Business Analysts

Goal: Empower developers to deliver internal tools faster without shipping code

◆ Outline

When Not to Code
- Identifying automatable and repetitive tasks
- Build vs. buy vs. stitch
Database Without SQL
- Use spreadsheet-style or visual DBs
- Configure views, relationships, and forms
Workflow Automation
- Trigger-based flows
- Multi-app logic chaining
Building Interfaces
- Drag-and-drop UI
- Bind to workflows, conditionals, and states
Governance & Scale
- Audit trails, role-based access, documentation
- When to switch to coded implementation
Mini Hackathon
- Solve a real problem using 2+ tools

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3. LLM Quickstart: Fine-tune and Deploy in 2 Hours

For: Senior Devs, Data Scientists, MLEs

Goal: Learn to adapt a foundation model to your own dataset and use case

◆ Outline

Foundation Model Primer
- Understanding tokenization, embeddings, and architecture
- Model types and capabilities
Preparing Custom Data
- Use cases suited for fine-tuning
- Format and clean small, effective datasets
Fine-tuning Process
- Use pre-built scripts or low-code MLOps tools
- Evaluation metrics, overfitting risks
Serving the Model
- Local API vs. cloud endpoint
- Integration with a test interface (chat or task completion)
Prompt Engineering 101
- Use prompting to extend model utility without retraining
Responsible AI
- Bias, safety, data leakage, audit trails

GenAI and No-Code Mastery for Teams