Showing results for "web"
Develop a threat-model for AI-driven interfaces that control or influence digital systems, including web automation, content generation, and decision making. Propose defense-in-depth strategies: input...
Author: Curioprompt
Category: Security | Model: gpt-5-nano
Analyze how cross-border strategic investments in a country's AI infrastructure influence competitive dynamics, talent flow, market access, and regulatory considerations. Compare scenarios involving t...
Author: Curioprompt
Category: Technology | Model: gpt-5-nano
Create a research agent that uses search APIs and page fetchers to gather evidence for a proposed code change. Require citations and source quality scoring.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Draft constraints so research/crawling never performs intrusive activity; only access allowed APIs and public docs. Include a compliance checklist and enforcement.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design sanitization so retrieved web/docs cannot inject instructions. Include instruction isolation, allowlisted tool use, and red-team tests for prompt injection.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a documentation crawler for self-improvement research that respects robots.txt, rate limits, and TOS. Include caching, dedupe, and citation storage.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an end-to-end architecture for a research bot that uses web search APIs, page fetching, and summarization. Include modules, data flow, storage, caching, and citation strategy.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Create a selection matrix for available APIs: search/SERP providers, content extraction, crawling, and anti-bot friendly approaches. Compare cost, rate limits, coverage, and TOS constraints.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design a ‘Rumor Control’ process: detect, label, verify, publish correction, and monitor spread. Include a standard taxonomy (misleading, unverified, false, satire) and a response playbook for TV/radi...
Author: Assistant
Category: verification | Model: gpt-4o
Create a rapid explainer template: what happened, background, stakeholders, what’s confirmed, what’s not, and what to watch next. Output versions for web article, TV script, and radio read.
Author: Assistant
Category: production | Model: gpt-4o
Build a corroboration matrix template: claim, primary source, secondary confirmations, contradictions, and evidence strength. Include rules for publication readiness for different platforms (web, TV, ...
Author: Assistant
Category: verification | Model: gpt-4o
Outline safe, legal practice steps for SQLi/XSS/CSRF in a local DVWA/Juice Shop. Include proof-of-concept scripts and a remediation write-up.
Author: Assistant
Category: offense-to-defense-bridge | Model: gpt-4o
Design a 2-week study plan covering basic networking, OS fundamentals, and web security (OWASP Top 10). Include daily objectives, practice labs (Burp/ZAP), and a 30-question self-quiz with answer key.
Author: Assistant
Category: learning-path | Model: gpt-4o
Create a lab to collect logs from OS, web server, and network sensors. Specify queries in Sigma/ELK and a detection for brute force + lateral movement.
Author: Assistant
Category: practical-lab | Model: gpt-4o
Teach STRIDE by walking through a sample web app. Produce DFDs, identify threats, propose mitigations, and compile a prioritization matrix for a student capstone.
Author: Assistant
Category: hands-on-exercise | Model: gpt-4o
ChatGPT drafts reference architectures (web, data, event-driven); Cursor scaffolds repos; Antigravity provisions demo stacks and validates SLOs. Output evolution paths.
Author: Assistant
Category: architecture-templates | Model: gpt-4o
Design a feature package with opener, department pages, sidebars, and pull quotes. Provide pacing, white space ratios, and print-to-web adaptation notes.
Author: Assistant
Category: feature-design-system | Model: gpt-4o
Create an i18n checklist for web/app: UTF-8, zh-TW locale, pluralization, truncation, font fallbacks (Noto Sans TC), RTL-safety check, and screenshot diffing.
Author: Assistant
Category: frontend-quality | Model: gpt-4o
Propose analytics stack and attribution for web/app across TW/US. Define events, funnels, consent banners (PDPA/CCPA awareness), media mix modeling outline, and UTM governance.
Author: Assistant
Category: marketing-analytics | Model: gpt-4o
Build an SEO + ASO plan for English and Traditional Chinese. Include keyword cannibalization guardrails, hreflang/locale strategy, app metadata split (US vs Taiwan), and link-building ideas by region.
Author: Assistant
Category: growth-seo-aso | Model: gpt-4o
Create a CLI to fetch a URL, normalize HTML (readability), diff against last snapshot, and notify on change (stdout/desktop). Flags: --url, --interval, --selector, --save.
Author: Assistant
Category: cli-tool | Model: gpt-4o
Implement a helper that creates password-less, key-based SSH tunnels for web apps (local:remote). Detect port conflicts, print URLs, and add keepalive. Flags: --local 8080:localhost:80.
Author: Assistant
Category: cli-tool | Model: gpt-4o
Build a CLI around exiftool/ImageMagick to remove metadata and resize/compress for web. Flags: --strip, --resize 1920x, --quality 85, --recursive, --backup.
Author: Assistant
Category: cli-tool | Model: gpt-4o
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.
Author: Assistant
Category: software | Model: gpt-4o
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.
Author: Assistant
Category: career | Model: gpt-4o
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.
Author: Curioforce Corp. Corp.
Category: Small Business Automation | Model: gpt-5-thinking
Describe a hybrid Gantt/Kanban board for maintenance tasks. Detail card fields, WIP limits, and dependency lines. Provide an example dataset to paste into a web demo.
Author: Curioforce Corp. Corp.
Category: Industrial Visualization | Model: gpt-5-thinking
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; ...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
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...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: track feature adoption lifecycle. Data: feature flags + events. Steps: 1) Adoption curve by cohort; 2) Time-to-first-use and repeat; 3) Impact on retention/LTV; 4) Sunset or double-down decision...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
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....
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
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 ...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
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;...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
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);...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
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; ...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
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...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
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...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
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 ...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: mine internal site search for intent gaps. Data: GA4 view_search_results and search_term params. Steps: 1) Top queries with zero-results; 2) CTR to result pages; 3) Query clusters using embeddin...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
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...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
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-...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: compare attribution approaches. Data: multi-touch journeys (GA4 pathing + ad click logs). Steps: 1) Build rule-based (last/first/linear/time-decay); 2) Build Markov and Shapley using transition ...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
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...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
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...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: diagnose funnel drop-offs for {GOAL_EVENT}. Data: GA4 BigQuery events with event_params. Steps: 1) Construct funnel steps; 2) Use event timestamps to compute step conversion; 3) Segment by devic...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: define sessionization robustly and filter bots. Data: raw web logs + GA4 BigQuery. Steps: 1) Build session rules (30m inactivity, campaign change resets); 2) Bot filters using IP ranges, UA rege...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
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...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
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 ...
Author: AI Prompt Writer
Category: education | Model: gpt-5
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.
Author: Tsubasa Kato
Category: Growth | Model: gpt-5
You are an Adobe Photoshop expert with deep knowledge of professional workflows in design, photography, and digital production. I am an advanced user, so do not explain basics. Instead, focus on advan...
Author: [email protected]
Category: image editing, Photoshop, image, picture | Model: GPT-5, GPT-4o, Sonar
Build an acquisition plan leveraging ASO for iOS/Android and SEO. Include keyword research, creatives testing, review prompts, and web-to-app funnels by region.
Author: ChatGPT
Category: business | Model: gpt-5
