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Feature Package Blueprint

Design a feature package with opener, department pages, sidebars, and pull quotes. Provide pacing, white space ratios, and print-to-web adaptation notes.

Tags: magazine, feature, package, layout, pacing, web

Author: Assistant

Category: feature-design-system | Model: gpt-4o

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GitHub Portfolio Blueprint

Act as a career coach. Design a portfolio structure with 4 flagship repos (AI, systems, web, data). Include README templates, demo videos, issue hygiene, and contribution guidelines.

Tags: career, portfolio, GitHub, students, showcase

Author: Assistant

Category: career | Model: gpt-4o

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WebGPU Compute for Browser ML

Act as a web-compute mentor. Outline a tutorial to run simple matrix ops and a tiny attention block in WebGPU. Include device feature checks, WGSL snippets, and performance measurement steps.

Tags: WebGPU, WGSL, browser, ML, compute

Author: Assistant

Category: software | Model: gpt-4o

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Lead-to-Invoice Zap/Make Recipe

Design an automation that captures web leads, enriches them, books a call, and issues an invoice upon closed-won. Provide trigger→actions list, field mappings, and failure retries. Output as YAML.

Tags: automation|crm|invoice|zapier|make|yaml

Author: Curioforce Corp. Corp.

Category: Small Business Automation | Model: gpt-5-thinking

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Real-Time Anomaly Detection & Alerting

Goal: deploy real-time anomaly detection and alerting. Data: streaming events and KPIs. Steps: 1) Forecast baselines with ETS/Prophet; 2) Residual monitoring with robust z-scores; 3) Alert playbooks; ...

Tags: anomaly;alerting;streaming

Author: Tsubasa Kato

Category: Web Analytics | Model: GPT-5 Thinking

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Cross-Device Journey Stitching Strategy

Goal: stitch cross-device journeys. Data: login IDs, hashed emails, device graph. Steps: 1) Identity resolution rules; 2) Probabilistic linking thresholds; 3) Bias checks; 4) KPI reconciliation. Outpu...

Tags: cross-device;identity;stitching

Author: Tsubasa Kato

Category: Web Analytics | Model: GPT-5 Thinking

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Mobile vs Desktop Behavior Gap

Goal: compare mobile vs desktop behavior. Data: GA4 device category segmentation. Steps: 1) Key KPI diffs (engagement, CVR, AOV); 2) Path analysis differences; 3) UX issues flagged by session replays....

Tags: mobile;desktop;behavior-gap

Author: Tsubasa Kato

Category: Web Analytics | Model: GPT-5 Thinking

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Pricing Page Sensitivity & Elasticity

Goal: analyze pricing page sensitivity and elasticity. Data: pricing page events, trials, conversions, order values. Steps: 1) Build exposure cohorts by price/test; 2) Demand curve fit; 3) Elasticity ...

Tags: pricing;elasticity;experiments

Author: Tsubasa Kato

Category: Web Analytics | Model: GPT-5 Thinking

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Robot/Scraper Detection from Server Logs

Goal: detect robots/scrapers from logs. Data: server logs (CDN/WAF), GA4 anomalies. Steps: 1) UA/IP reputation, JA3/TLS fingerprints; 2) Request-rate and path entropy anomalies; 3) Honeypot endpoints;...

Tags: robots;scrapers;waf;logs

Author: Tsubasa Kato

Category: Web Analytics | Model: GPT-5 Thinking

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Personalization Segmentation & CDP Activation

Goal: design segmentation and CDP activation. Data: events, traits, CRM. Steps: 1) Build segments (recency, behavior, value); 2) Define activation triggers; 3) Map to channels via CDP (e.g., Segment);...

Tags: segmentation;cdp;activation

Author: Tsubasa Kato

Category: Web Analytics | Model: GPT-5 Thinking

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Core Web Vitals Impact on Conversion

Goal: quantify Core Web Vitals impact on conversion. Data: CrUX or RUM data for LCP/INP/CLS + conversions. Steps: 1) Bin users by CWV percentiles; 2) Model conversion vs CWV with semi-parametric fit; ...

Tags: core-web-vitals;conversion;rum

Author: Tsubasa Kato

Category: Web Analytics | Model: GPT-5 Thinking

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CRO Hypotheses Bank from Evidence

Goal: generate CRO hypotheses backed by evidence. Data: funnels, heatmaps, surveys, NPS, session replays. Steps: 1) Aggregate pain points; 2) Map to heuristics (clarity, friction, motivation); 3) Prio...

Tags: cro;hypotheses;prioritization

Author: Tsubasa Kato

Category: Web Analytics | Model: GPT-5 Thinking

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Churn Propensity Scoring & Save Flows

Goal: predict churn propensity and design save flows. Data: user activity, support tickets, billing events. Steps: 1) Label churn; 2) Train gradient-boosting model; 3) SHAP feature importance; 4) Pres...

Tags: churn;propensity;save-flows

Author: Tsubasa Kato

Category: Web Analytics | Model: GPT-5 Thinking

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Onboarding Path Analysis with Markov Chains

Goal: analyze onboarding paths with Markov Chains. Data: event sequences for new users first 7 days. Steps: 1) Build state graph of key events; 2) Compute transition probabilities; 3) Identify states ...

Tags: onboarding;markov;paths

Author: Tsubasa Kato

Category: Web Analytics | Model: GPT-5 Thinking

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Content Engagement: Scroll & Heatmap Synthesis

Goal: synthesize scroll depth with heatmap insights. Data: GA4 scroll events, heatmap tool exports (e.g., Hotjar). Steps: 1) Join scroll depth to content type/length; 2) Identify false bottoms; 3) Fla...

Tags: scroll;heatmap;engagement

Author: Tsubasa Kato

Category: Web Analytics | Model: GPT-5 Thinking

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Experiment Readiness & A/B Test Sizing

Goal: check experiment readiness and sample size. Data: baseline conversion, traffic, variance. Steps: 1) Minimum detectable effect; 2) Power calculation; 3) Guardrail metrics; 4) Sequential vs fixed-...

Tags: ab-test;power;sample-size

Author: Tsubasa Kato

Category: Web Analytics | Model: GPT-5 Thinking

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LTV Modeling with RFM and Pareto/NBD

Goal: model LTV with RFM and Pareto/NBD. Data: orders table + GA4 user_id mapping. Steps: 1) Derive Recency, Frequency, Monetary; 2) Fit Pareto/NBD (BG/NBD) and Gamma-Gamma for monetary; 3) Validate w...

Tags: ltv;rfm;pareto-nbd;bg-nbd

Author: Tsubasa Kato

Category: Web Analytics | Model: GPT-5 Thinking

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Cohort Retention & Power-User Curve

Goal: analyze cohort retention and power-user curve. Data: GA4 users and events, subscription logs if applicable. Steps: 1) Build weekly cohorts by first_visit; 2) Compute W1–W12 retention; 3) Plot po...

Tags: cohorts;retention;power-user

Author: Tsubasa Kato

Category: Web Analytics | Model: GPT-5 Thinking

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Traffic Source Quality & UTM Hygiene Audit

Goal: audit source/medium quality and UTM hygiene for {START_DATE}–{END_DATE}. Data: GA4 BigQuery export `{PROJECT}.{DATASET}.events_*`, ad platform logs, server-side UTMs. Steps: 1) Classify sessions...

Tags: ga4;bigquery;utm;source-quality

Author: Tsubasa Kato

Category: Web Analytics | Model: GPT-5 Thinking

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Python For the Future

Craft a future-focused post about why Python is a must-learn language for careers in AI, data science, web dev, and automation. Compare it with C/C++ as the foundation, and Python as the supercharger ...

Tags: Python, career, future, AI, data science, automation

Author: AI Prompt Writer

Category: education | Model: gpt-5

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Web Conversion Dip Triage

For {{site}}, compare last 24h vs 7d baseline: conversion rate, page speed, error rates, top exit pages, traffic mix shifts. Suggest 3 fixes prioritized by impact/effort.

Tags: growth;web;analytics;timely;cx

Author: Tsubasa Kato

Category: Growth | Model: gpt-5

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