Tutorial Ideas and Suggestions

This document tracks ideas for new tutorials to serve different audiences and use cases. Contributions welcome!

Priority Tutorials

Modeling a Simple Contract from Scratch
- Audience: Lawyers, legal drafters
- Goal: Translate a real contract into L4
- Topics: Basic declarations, conditions, obligations
- Estimated time: 2-3 hours
Encoding Regulatory Compliance Rules
- Audience: Compliance officers, legal professionals
- Goal: Model compliance requirements in L4
- Topics: Rules, exceptions, reporting requirements
- Estimated time: 2 hours
Creating Decision Tables for Eligibility Criteria
- Audience: Legal professionals, policy makers
- Goal: Build decision logic for eligibility determination
- Topics: Boolean logic, decision trees, tabular rules
- Estimated time: 1.5 hours
Working with Date-Based Deadlines
- Audience: Legal professionals
- Goal: Model time-sensitive obligations
- Topics: daydate library, temporal logic, WITHIN
- Estimated time: 1 hour
Understanding Legal Ambiguity in L4
- Audience: Legal drafters
- Goal: Recognize and handle ambiguous legal text
- Topics: MAYBE types, default logic, edge cases
- Estimated time: 1.5 hours

Integrating L4 Decision Services with REST APIs
- Audience: Backend developers
- Goal: Call L4 decisions from web applications
- Topics: HTTP requests, JSON, API design
- Estimated time: 2 hours
Building Web Forms from L4 Schemas
- Audience: Frontend developers
- Goal: Auto-generate forms from L4 type definitions
- Topics: Type introspection, form generation
- Estimated time: 2.5 hours
Batch Processing L4 Evaluations
- Audience: Data engineers, developers
- Goal: Process multiple cases efficiently
- Topics: YAML input, batch CLI usage, scripting
- Estimated time: 1 hour
Setting Up CI/CD for L4 Projects
- Audience: DevOps engineers, developers
- Goal: Automate testing and deployment
- Topics: GitHub Actions, testing, deployment
- Estimated time: 1.5 hours
Error Handling in L4 Decision Services
- Audience: Backend developers
- Goal: Handle edge cases and errors gracefully
- Topics: MAYBE, EITHER, error messages
- Estimated time: 1 hour
Optimizing L4 Performance
- Audience: Performance engineers
- Goal: Make L4 evaluations faster
- Topics: Profiling, optimization strategies
- Estimated time: 2 hours

Translating Legislation to L4 (Deep Dive)
- Audience: Legal engineers
- Goal: Systematic approach to encoding statutes
- Topics: Statute structure, cross-references, amendments
- Estimated time: 3 hours
Handling Ambiguity in Legal Text
- Audience: Legal engineers, legal professionals
- Goal: Strategies for dealing with unclear language
- Topics: Default logic, rebuttable presumptions, annotations
- Estimated time: 2 hours
Multi-Temporal Rule Modeling
- Audience: Advanced legal engineers
- Goal: Model rules that change over time
- Topics: Temporal logic, amendments, effective dates
- Estimated time: 2.5 hours
Contract State Machine Patterns
- Audience: Legal engineers
- Goal: Model contracts as state machines
- Topics: States, transitions, events
- Estimated time: 2 hours
Using AI to Bootstrap L4 from Documents
- Audience: Legal engineers
- Goal: Leverage LLMs to generate initial L4 code
- Topics: LLM integration, prompt engineering, review process
- Estimated time: 2 hours
Version Control for Legal Rules
- Audience: Legal engineers, legal teams
- Goal: Manage changes to L4 codebases
- Topics: Git workflows, branching, reviewing
- Estimated time: 1.5 hours

Using L4 for Explainable AI in Legal Decisions
- Audience: Data scientists, ML engineers
- Goal: Combine L4 with ML for transparent decisions
- Topics: Hybrid reasoning, audit trails, explanations
- Estimated time: 2.5 hours
Integrating L4 with Python Data Pipelines
- Audience: Data scientists, analysts
- Goal: Use L4 in data processing workflows
- Topics: Python interop, data transformations
- Estimated time: 2 hours
Analyzing Legal Rules with L4
- Audience: Legal analytics professionals
- Goal: Extract insights from L4-encoded rules
- Topics: Querying, statistics, visualization
- Estimated time: 2 hours

L4 for Policy Makers: From Rules to Code
- Audience: Government, policy makers
- Goal: Understand how policy becomes executable
- Topics: Rule encoding, testing policy, simulation
- Estimated time: 1.5 hours
L4 for Insurance: Claims Processing Rules
- Audience: Insurance professionals
- Goal: Automate claims adjudication
- Topics: Eligibility, coverage, exclusions
- Estimated time: 2 hours
L4 for Banking: KYC/AML Compliance
- Audience: Banking compliance teams
- Goal: Encode know-your-customer rules
- Topics: Risk assessment, regulatory rules
- Estimated time: 2 hours
L4 for Tax: Calculating Tax Liability
- Audience: Tax professionals, accountants
- Goal: Model tax rules in L4
- Topics: Deductions, credits, brackets
- Estimated time: 2.5 hours

Have an idea for a tutorial? Submit it here!

Contributions welcome via GitHub pull requests.

(Tutorials will be moved here as they are completed)

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