Static Search with Pagefind
Integrating Pagefind for full-text search on a static site with no backend.
implementation (33 lessons)
Block 5: Web App & Interactive Tooling Lessons
- 031 Lesson 031: Read-Only DB Connections for Web Layers
- 032 Lesson 032: Startup Cache for Interactive Scoring
- 033 Lesson 033: Vanilla JS SPA Without a Build Step
- 034 Lesson 034: Reusing Query Modules Across CLI and Web
- 035 Lesson 035: Design System Portability via Tokens
- 036 Lesson 036: Linter Rules vs. Framework Idioms
- 037 Lesson 037: Static Site Generation via Fetch Shim
- 038 Lesson 038: CI Path Portability and Release Artifacts
Block 6: Vision, Curation & AI-Assisted Workflow Lessons
- 039 Lesson 039: Mock Tagger Pattern for Vision Pipeline Testing
- 040 Lesson 040: Controlled Vocabulary as Schema Contract
- 041 Lesson 041: Utility Function Design for Synthetic Voting Bias
- 042 Lesson 042: Lift as the Primary Bias Detection Metric
- 043 Lesson 043: PII Sanitization in Static JSON Exports
- 044 Lesson 044: Acceptance Tests as Executable Specifications
- 045 Lesson 045: Embedding-Based Deduplication for Image Collection Curation
- 046 Lesson 046: Lazy Imports for Deployment Compatibility
- 047 Lesson 047: CLIP Zero-Shot as a Database Column Factory
- 048 Lesson 048: Greedy Max-Min Diversity Selection
- 049 Lesson 049: Drag-and-Drop as the Simplest Viable Interaction
- 050 Lesson 050: Connected Components for Transitive Deduplication
- 051 Lesson 051: Sigmoid Calibration for Domain-Specific CLIP Scores
- 052 Lesson 052: Incremental Feature Extraction Over Full Re-runs
- 053 Lesson 053: Audit-First Design
- 054 Lesson 054: Phased Autonomous Execution Plans
- 055 Lesson 055: Session Continuity via Documentation Artifacts
- 056 Lesson 056: Environment Self-Interference in AI-Assisted Development
- 057 Lesson 057: Test-Gated Commits at Scale
- Lessons Planned
Lesson 019: NULL as Honest Missing Data
Several columns in the scoring output have no meaningful value for most images. Only 200 images have Elo scores (from 2,...
Lesson 021: Calendar as Portfolio Optimization, Not Top-N Ranking
When selecting a fixed-size collection where the items must work together (a calendar, a playlist, a portfolio, a menu),...
Lesson 025: Multiple Selection Methods as Baselines
When building an optimizer, always generate multiple candidate solutions using different methods — including at least on...
Lesson 026: Formalizing De Facto Dependencies
A dependency that's imported in production code but missing from the package manifest is a time bomb. It works on the de...
Lesson 030: Reliability Delta as Noise Measurement
We know that 20% of synthetic voters are intentionally noisy (10% position-biased, 10% random). We compute Krippendorff'...
Lesson 036: Linter Rules vs. Framework Idioms
When a linter rule flags code that follows a framework's official pattern, suppress the rule per-line with noqa rather t...
Lesson 041: Utility Function Design for Synthetic Voting Bias
Synthetic vote generation needs to produce votes that exhibit detectable attribute-based bias while remaining statistica...
Lesson 042: Lift as the Primary Bias Detection Metric
Block-aware statistics need a metric that answers: "does this voting block select images with attribute X more than expe...
Lesson 047: CLIP Zero-Shot as a Database Column Factory
A single CLIP model, used for zero-shot classification against descriptive text prompts, functions as a general-purpose ...
Lesson 052: Incremental Feature Extraction Over Full Re-runs
When adding new features to an existing collection, delete-and-rewrite only the new columns rather than re-processing ev...
Lesson 055: Session Continuity via Documentation Artifacts
When working across multiple AI-assisted sessions, continuity must be encoded in files, not in conversation history. A s...
Lesson: Building with Synthetic Data Before Real Data Arrives
The Artemis project needed voter preference data to build its statistical models and calendar optimizer. But real vote d...
Lesson: Disjoint Data Populations Breaking Multimodal Joins
Multimodal clustering required images to have both CLIP image embeddings AND text embeddings. The intersection of these ...
Lesson: Per-Record Overhead That Doesn't Matter at 10 Rows Kills You at 12,000
The original thumbnail downloader worked flawlessly on 5 images during development. When scaled to 12,217 images, it was...
Answer Position Bias
When humans author multiple-choice questions, the correct answer tends to cluster in certain positions (often B or C). T...
Building a Lessons Skill for Claude Code
A Claude Code skill file is a structured prompt that turns a repeatable workflow into a single slash command. The skill'...
Building a Phase Execution Skill
A phased plan is only as good as its execution discipline. A /phase skill automates the mechanical parts of plan executi...
Bulk Metadata Enrichment Scripts
When hundreds of data records need the same type of update (adding titles, categories, tags, or enriched descriptions), ...
Content Quality Auditing at Scale
When you have hundreds or thousands of content items authored by different sources at different times, quality varies wi...
Hint Quality as a Spectrum
A progressive hint system (brief nudge → full explanation → deep-dive knowledge) is more pedagogically effective than a ...
Legacy Artifact Removal
After a migration, the old system's artifacts (files, code, tests, scripts) must be actively removed in a deliberate cle...
Scaling Content Without Scaling Complexity
Adding 50+ exams across 10 providers to a quiz application required zero changes to the core quiz engine, data loader, o...
Verbatim Answer Leakage in Hints
When hints contain the exact text of the correct answer choice, they short-circuit learning. The learner reads the hint,...
Derived Metrics from Base Observations
Base observations are source truth; derived values are computed artifacts. Mixing them in the same table creates ambigui...
Extract Patterns for Government APIs
Federal data sources are not designed for programmatic access. They block bare HTTP requests, publish in heterogeneous f...
Geography Comparison Pitfalls
Geographic wage comparisons are inherently incomplete: nominal gaps do not account for cost-of-living differences, suppr...
Inflation Adjustment with CPI
Comparing nominal wages across years is misleading because the dollar's purchasing power changes over time. Converting t...
Ranked Movers and Outlier Interpretation
Percentage changes on small bases are statistically volatile and can dominate ranked lists even when the absolute econom...
Time-Series Normalization
Fact tables store snapshots — single measurements at single points in time. Time-series analysis requires a separate nor...
UI-Data Alignment
A web application that shows buttons, links, or filters for data that does not exist creates a worse experience than one...