Showing results for "news analytics"
Develop and critique frameworks for transparent disclosure, verification, and accountability when AI tools participate in news production or distribution, including standards for source attribution, b...
Author: Curioprompt
Category: Society | Model: gpt-5-nano
Develop a governance and funding decision framework for evaluating when and how public or regulatory support for news media and niche broadcasters should be deployed in a digital economy. Address trad...
Author: Curioprompt
Category: Economics | Model: gpt-5-nano
You are an elite, highly specialized 'Indonesia Maritime Logistics and Investment Strategy Consultant' with deep expertise in Southeast Asian infrastructure economics, geopolitical trade policy, and a...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
You are the "Argentinian Agritech and Agricultural Economics Expert," a highly specialized AI consultant with deep, actionable knowledge of South American, specifically Argentine, agriculture, and its...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
Design a business digital twin: KPI modeling, scenario simulation, and decision memos. Include data ingestion, model governance, and subscription pricing.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design bundle strategies: combine complementary AI utilities into one subscription (e.g., writing + planning + analytics). Include churn reduction logic and tier design.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create an ‘Ops in a Box’ product: invoicing, marketing, hiring, SOPs, and analytics for SMBs. Include onboarding playbook, retention loops, and pricing tiers.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a spaced practice system for professionals: daily 5-minute drills, workplace scenarios, and progress analytics. Monetize via employer subscriptions.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a pipeline where analytics identifies friction points and the agent proposes small UX or performance fixes. Require user impact estimation and safe rollout.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design drift detection: changes in user queries, outcome distributions, error types, and model behavior. Include thresholds and a playbook for when drift is detected.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design two operating modes: news (high freshness, fast) vs evergreen (depth, books/papers). Include different source scoring, caching, and output formats.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design a freshness strategy for research: recency-aware search, change detection, and update alerts. Include how to present “as of” dates and avoid outdated claims.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Propose a stable in-game economy design: sinks/sources, pricing strategy, anti-exploit controls, and monitoring metrics. Include balancing workflow and patch cadence.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Create an analytics plan for gaming creators: retention, watch time, conversion funnels, community health, and content iteration loops. Provide a weekly review template.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Design a materiality filter for market-moving news: what counts as material, how to confirm, how to avoid overstatement, and how to write risk-labeled headlines. Include a compliance-friendly checklis...
Author: Assistant
Category: analysis | Model: gpt-4o
Define a measurement dashboard: reach, retention, saves, clicks, conversions, and content ROI. Include UTM conventions, naming taxonomy, and weekly review questions.
Author: Assistant
Category: content-generation-2026 | Model: gpt-4o
Create a harm-minimization checklist: avoid naming private individuals unnecessarily, avoid sharing operational details that enable harm, and use responsible framing. Provide examples and escalation g...
Author: Assistant
Category: governance | Model: gpt-4o
Create a breaking-news verification checklist: time stamps, original footage, geolocation basics, official statements, and correcting mistakes. Keep it practical and non-technical.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Teach me how to detect circular reporting where outlets cite each other. Provide steps to identify the earliest source and whether it’s primary evidence.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Explain how to balance recency and reliability. Create a decision framework for when older sources are better (textbooks, standards) vs when fresh updates matter (outages, policy changes).
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Design a real-time alerting system for breaking news: keyword sets, entity lists, source tiers, velocity thresholds, and de-duplication rules. Provide a triage workflow (green/yellow/red) and a playbo...
Author: Assistant
Category: news-ops | Model: gpt-4o
Create rules for attribution and headline writing in fast-moving situations: what to attribute, how to hedge responsibly, and how to avoid amplification of rumors. Provide headline examples (good vs b...
Author: Assistant
Category: verification | Model: gpt-4o
Produce a daily 1-page Morning Intelligence Brief tailored to my sector and audience (Fortune 500 execs, TV newsroom, radio producers). Include: top 10 developments, why it matters, likely next moves,...
Author: Assistant
Category: news-ops | Model: gpt-4o
Design a lesson framework using news texts while staying neutral and age-appropriate. Focus on skills (summarizing, stance, evidence) and include sensitivity guidelines.
Author: Assistant
Category: language-teaching | Model: gpt-4o
Build a calendar of events that reliably generate news: earnings, product events, regulatory deadlines, court dates (public), conferences, and macro data releases. Include reminder rules and pre-brief...
Author: Assistant
Category: collection | Model: gpt-4o
Create a source quality rubric I can score from 0–5 across authority, transparency, evidence, recency, incentives, and track record. Provide examples of how to score a news article, a blog post, and a...
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Generate an internal memo format used by high-performing newsrooms and corporate intel teams: what we know, what we don’t, key assumptions, next actions, and owners with timestamps.
Author: Assistant
Category: news-ops | Model: gpt-4o
Create a safe geo-context workflow for news: how to use publicly available maps, landmarks, weather context, and official statements without doxxing private individuals. Provide a checklist for privac...
Author: Assistant
Category: verification | Model: gpt-4o
Generate an interview question set for a breaking story: 10 factual clarifiers, 10 accountability questions, 5 ‘show me evidence’ prompts, and 5 future-looking questions. Include follow-up branches ba...
Author: Assistant
Category: production | Model: gpt-4o
Create a decision tree to pick tools by task: writing, image editing, video generation, repurposing, and analytics. Provide selection criteria, workflow examples, and a minimal stack vs pro stack.
Author: Assistant
Category: content-generation-2026 | Model: gpt-4o
List and prioritize skills that create a ‘career moat’ globally: writing, analytical storytelling, negotiation, technical depth, and execution. Provide a 6-month upskilling plan with weekly milestones...
Author: Assistant
Category: global-business-advice | Model: gpt-4o
Draft an ethical and legal checklist for pursuing exclusives: what is permissible to collect, consent boundaries, no doxxing, no hacking, attribution standards, and escalation to legal/editorial. Incl...
Author: Assistant
Category: governance | Model: gpt-4o
Given multiple reports, build a minute-by-minute timeline: what happened, who said what, source tier, and confidence level. Highlight contradictions and missing facts, and propose the next 5 verificat...
Author: Assistant
Category: analysis-workflow | Model: gpt-4o
Design an ethical stringer/freelancer network plan: onboarding, verification expectations, payment standards, safety guidance, and how to avoid conflicts of interest. Include a ‘rapid deployment’ chec...
Author: Assistant
Category: news-ops | Model: gpt-4o
Create a prioritization rubric for assigning coverage: public impact, novelty, proximity, evidence strength, audience relevance, and resource cost. Output a daily standup agenda and decision log forma...
Author: Assistant
Category: news-ops | Model: gpt-4o
Design a crisis monitoring plan: sentiment shifts, complaint volume, supply chain chatter, regulator mentions, and employee signals. Provide escalation thresholds and a comms ‘holding statement’ decis...
Author: Assistant
Category: news-ops | Model: gpt-4o
Design a post-publish loop: monitor new facts, track corrections, update timestamps, and communicate changes across platforms. Include a correction template and an internal audit trail.
Author: Assistant
Category: news-ops | Model: gpt-4o
Create a weekly pipeline review process: leads list, evidence status, next actions, owners, and deadlines. Include a standard for dropping weak leads and a reminder to follow legal/ethical boundaries.
Author: Assistant
Category: news-ops | Model: gpt-4o
Create an “information diet” plan: what to monitor daily/weekly/monthly, how to avoid doomscrolling, and how to keep situational awareness responsibly.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Build a beat-specific social listening map: platforms to watch, search operators, hashtags, community hubs, and influential accounts. Provide query packs for: business, tech, disasters, consumer trend...
Author: Assistant
Category: collection | Model: gpt-4o
Build a regulatory early-warning system: agencies to monitor, consultation periods, enforcement trends, and docket tracking. Provide a ‘regulatory risk memo’ template for corporate and newsroom audien...
Author: Assistant
Category: collection | Model: gpt-4o
Produce a deep dive on one company or theme: business model, KPIs, competitive position, key risks, and upcoming catalysts. Provide a ‘what would change my mind’ section and source list guidelines.
Author: Assistant
Category: analysis | Model: gpt-4o
Compute a rivalry ‘heat index’ from point differential, playoff stakes, penalties, and fan sentiment. Release a carousel with receipts and a comment bait question.
Author: Assistant
Category: rivalry-analytics-social-bait | Model: gpt-4o
Compare BM25 to sentence embeddings for a news corpus. Provide evaluation (MAP/nDCG), hybrid scoring formula, and error analysis table.
Author: Assistant
Category: comparative-analysis-IR | Model: gpt-4o
Generate a game umpire scorecard: zone accuracy, top 3 missed calls, and swing in run expectancy. Create a neutral headline and a respectful CTA to discuss.
Author: Assistant
Category: officiating-analytics | Model: gpt-4o
Simulate a 4th-and-2 decision: present model recommendation (go/punt), coach’s context, and fan poll. Include a side-by-side EPA delta and a replay timestamp to rewatch the snap.
Author: Assistant
Category: interactive-analytics | Model: gpt-4o
Analyze a funnel dataset: compute conversion, churn, and cohort retention. Produce executive takeaways and test ideas.
Author: Assistant
Category: data-driven-marketing-MBA | Model: gpt-4o
Write 10 SQL exercises on click logs, queries, sessions, and dwell time. Include expected outputs and hints.
Author: Assistant
Category: analytics-drill-IR-SQL | Model: gpt-4o
Break down a single at-bat using pitch charts and heat maps. Explain pitch tunneling, expected slugging, and why the put-away pitch worked. Output a 6-panel carousel script plus a 30-second voiceover.
Author: Assistant
Category: analytics-storytelling | Model: gpt-4o
Build an SMB coupon engine (EN/ES) with QR receipts and SMS reminders. Provide redemption analytics to sustain ≥70% predicted engagement.
Author: Assistant
Category: local-commerce-us-smb | Model: gpt-4o
Design a time-decay model that boosts fresh, authoritative sources. Include publisher priors, sitemap/news bias, and re-crawl triggers. Output evaluation with time-split test sets.
Author: Assistant
Category: ranking-freshness | Model: gpt-4o
Create a brief template that ties analytics (retention curve, CTR) to creative decisions (pacing, framing). Provide Veo/Sora prompt levers mapped to metrics.
Author: Assistant
Category: video-analytics-bridge | Model: gpt-4o
Create a schedule based on personal energy peaks. Map analytical/creative/admin tasks to morning/afternoon/evening windows. Include sleep and light exposure tips.
Author: Assistant
Category: time-management | Model: gpt-4o
Benchmark competitor trailers: sentiment, view-through, like ratio, and pre-sales lift. Propose creative tweaks and placement plan.
Author: Assistant
Category: marketing-analytics-film | Model: GPT-5.1
For retail rivals, compute store density vs population and transit nodes. Estimate catchment overlap with us. Output cannibalization risks and new-store priority cells.
Author: Assistant
Category: location-analytics | Model: GPT-5.1
Measure competitors’ brand pillars and sentiment across social, forums, and news. Produce share-of-voice charts and a message-market fit gap analysis.
Author: Assistant
Category: brand-analytics | Model: GPT-5.1
Specify a leading vs lagging metric scoreboard for acquisition, activation, retention, and margin. Include review ritual and metric owner map.
Author: Assistant
Category: analytics-ops | Model: gpt-4o
Forecast adoption for a new capability using S curve modeling and leading proxy metrics. Output 3 scenarios and instrumentation plan.
Author: Assistant
Category: product-analytics | Model: gpt-4o
Design a RevOps data model joining CRM, billing, support, and product usage. Define metrics and sync cadence. Output a governance charter.
Author: Assistant
Category: data-ops-revenue | Model: gpt-4o
Design a metrics tree from a north star metric to instrumented events. Add anomaly alerts and weekly storytelling format.
Author: Assistant
Category: data-product-ops | Model: gpt-4o
Define ownership, contracts, SLAs, and tests for critical data sets. Output a monthly scorecard and escalation policy.
Author: Assistant
Category: data-governance | Model: gpt-4o
Build cohort based unit economics with CAC, payback, and contribution margin. Output levers to hit target payback by segment.
Author: Assistant
Category: finance-ops | 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
Assemble a full-length mock test blueprint with section timings, realistic question counts, and break strategy. Provide printable answer sheet, scoring table, and post-test analytics template.
Author: Assistant
Category: mock-test | Model: gpt-4o
Define an error taxonomy (concept, process, careless, pacing). Provide a CSV template and dashboard spec to visualize trends weekly.
Author: Assistant
Category: analytics-SAT | Model: gpt-4o
過去問の誤答を分類（語彙/文法/推測/要約など）。CSVテンプレと対策タスク、自動復習キューを生成。
Author: Assistant
Category: analytics-EIKEN | Model: gpt-4o
Design a CSV schema and examples for tracking mistakes (Item ID, Type, Reason, Time, Fix plan). Add a visualization brief to spot patterns (e.g., inference vs detail errors).
Author: Assistant
Category: study-tools | Model: gpt-4o
Create a CLI for fast CSV ops (select, where, join, pivot) with types detection and streaming. Flags: --select, --where 'col>10', --join other.csv --on id, --pivot. TSV compatible.
Author: Assistant
Category: cli-tool | Model: gpt-4o
Act as an assay validation lead. Provide a template for analytical sensitivity/specificity, precision, linearity, LoD/LoQ, carryover, and stability studies with acceptance criteria.
Author: Assistant
Category: lab-methods | Model: gpt-5
You are a metrics lead. Specify a one-screen dashboard: scans, qualified rate, meetings held, opps created, competitor sightings, press hits. Include RAG thresholds and stand-up prompts.
Author: Assistant
Category: trade-show | Model: gpt-4o
You are a regulatory strategist. Outline validation for software as a medical device/AI decision support: intended use, clinical association, analytical validation, clinical validation, and real-world...
Author: Assistant
Category: regulatory-strategy | Model: gpt-5
You are a data lead. Define a Notion/Sheet dashboard for AVD, CTR, session starts, returning viewers, and save/share rates. Provide red/amber/green thresholds and weekly action prompts.
Author: Assistant
Category: creator | Model: gpt-4o
You are a content strategist. Plan Reels/Shorts ideas, carousel breakdowns, posting cadence, analytics tracking, and CTA library. Include a 30-day calendar and repurposing map.
Author: Assistant
Category: photography | Model: gpt-4o
Act as a COO-minded CTO. Create a launch readiness checklist and go/no-go gate: infra capacity, support playbooks, SLAs, comms plan, rollback, analytics instrumentation, and legal/privacy approvals.
Author: tsubasa
Category: leadership | Model: gpt-4o
Design a yield-ramp methodology: defect density assumptions, critical area analysis, redundancy strategies, pattern-matching for systematic defects, Pareto dashboards, and wafer map analytics. Include...
Author: Assistant
Category: chip-design | Model: gpt-4
Sketch a tax-aware rebalancing algorithm for New York portfolios around Reg NMS and dark pool routing analytics. Detail lots selection, wash-sale guardrails, and capital-gains budgets. Return pseudoco...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Create an A/B testing protocol for hooks, captions, thumbnails. Define sample sizes, minimum detectable effect, and a testing calendar. Include 50 hook/caption candidates to test.
Author: Inspire Search Corp.
Category: Analytics | Model: gpt-5-thinking
Define a KPI tree from impressions → engagement → follows → conversions. Specify a dashboard schema (per platform) and a weekly insight ritual: what to look for, how to act.
Author: Inspire Search Corp.
Category: Analytics | Model: gpt-5-thinking
Define UTM conventions per platform and a GA4 report set to attribute social properly. Add a checklist for QA before posting.
Author: Inspire Search Corp.
Category: Analytics | Model: gpt-5-thinking
Propose ways to infer 'dark social' impact (mentions in DMs, private groups): coupon tagging, unique lead magnets, survey inserts, and correlation analysis.
Author: Inspire Search Corp.
Category: Analytics | Model: gpt-5-thinking
Map social KPIs to business outcomes (pipeline, CAC, LTV). Provide a monthly review template with decisions to keep/kill/scale.
Author: Inspire Search Corp.
Category: Analytics | Model: gpt-5-thinking
Define health metrics (active members, comment velocity, quality flags). Set alert thresholds and remediation steps.
Author: Inspire Search Corp.
Category: Analytics | 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
Goal: surface Japan small/mid‑cap opportunities with catalysts. Perplexity: find activist campaigns, governance reforms, and local press mentions; provide links. Bloomberg: EQS<GO> filters (market cap...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
Goal: identify sector rotation and factor tilts. Perplexity: compile recent sector leadership drivers and factor (value/growth/quality) narratives; capture catalysts. Bloomberg: EQS<GO> to screen sect...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
From tech and science news, detect weak signals of breakthrough innovations. Assign readiness level and forecast adoption timeline.
Author: Tsubasa Kato
Category: Tech Foresight | Model: GPT-5
Combine Perplexity's trending data, Google News, and social feeds to generate multi-source weighted predictions on the next 48h headline topics.
Author: Tsubasa Kato
Category: Hybrid Analytics | Model: GPT-5
Track mentions of artificial intelligence across sectors. Quantify growth rate and predict when it will saturate or move into new narrative phases.
Author: Tsubasa Kato
Category: AI Analytics | Model: GPT-5
Gather today's top 20 global news items from multiple sources (Perplexity, Reuters, Bloomberg, NHK) and build a matrix of topics, frequency, and sentiment. Identify which 3 trends are accelerating fas...
Author: Tsubasa Kato
Category: Trend Analysis | Model: GPT-5
Measure mood swings in cultural, entertainment, and lifestyle news. Predict social sentiment reversal points and their potential impact on consumption patterns.
Author: Tsubasa Kato
Category: Cultural Analytics | Model: GPT-5
From the past 48 hours of breaking news, separate 'signal' (persistent stories) from 'noise' (transient hype). Explain why some stories fade while others persist, and estimate which signals will grow ...
Author: Tsubasa Kato
Category: Information Theory | Model: GPT-5
Create a graph of how different news events are interconnected via shared entities (companies, politicians, countries). Highlight hidden links and potential cascade effects.
Author: Tsubasa Kato
Category: Data Journalism | Model: GPT-5
Analyze the pulse of story mentions over time (rise/fall curves). Predict which topics will spike tomorrow and which will decay.
Author: Tsubasa Kato
Category: Temporal Analytics | Model: GPT-5
Use daily global headlines to produce a ranked list of emerging risks by impact and likelihood. Provide early warning for possible black-swan developments.
Author: Tsubasa Kato
Category: Risk Intelligence | Model: GPT-5
Compare sentiment across sources (CNN, Fox, NHK, Nikkei, BBC) for the same topic. Identify maximum divergence and explain which outlet predicts the eventual consensus.
Author: Tsubasa Kato
Category: Media Analytics | Model: GPT-5
Trace how a trending topic (e.g., AI regulation) evolves in tone, framing, and sentiment over a week. Predict how it will mutate next and why.
Author: Tsubasa Kato
Category: Trend Dynamics | Model: GPT-5
Take the biggest headline of today and ask: what would happen if its opposite occurred? Analyze implications and likelihood of such reversal.
Author: Tsubasa Kato
Category: Strategic Thinking | Model: GPT-5
Identify top 10 influencers shaping narratives across news and social media. Quantify their directional impact on public opinion and predict whose voice will dominate next.
Author: Tsubasa Kato
Category: Influence Mapping | Model: GPT-5
Measure entropy in daily news topics—how diverse or concentrated is media attention? Predict when entropy will collapse (major convergence on one issue) and what might trigger it.
Author: Tsubasa Kato
Category: Information Analytics | Model: GPT-5
Monitor keyword drift across 7 days of news. How do certain phrases (e.g., 'climate tech', 'AI ethics') shift in association? Predict future narrative framing.
Author: Tsubasa Kato
Category: Language Modeling | Model: GPT-5
Define a lightweight analytics spec for {creator_or_brand}. Deliver: metric tree (North Star → inputs), weekly dashboard spec, definitions (e.g., SAVER: Saves, Average View Duration, Earned shares, Re...
Author: Tsubasa Kato
Category: Influencer Growth | Model: gpt-5
Act as an influencer growth analyst. Audit the public profile at {profile_url} on {platform}. Infer audience persona, content pillars, posting rhythm, hook styles, and conversion path to {goal}. Outpu...
Author: Tsubasa Kato
Category: Influencer Growth | Model: gpt-5
Define a composite 'well-living' score for {{community_or_user_segment}} that blends: - Air/noise/light exposure proxies - Green space access - Activity and social connection signals (opt-in) - Digita...
Author: Tsubasa Kato
Category: analytics | Model: gpt-5-thinking
Define a KPI tree that balances business, planet, and health. Include: NSM, leading indicators, guardrail metrics (burnout proxy, screen time, dropout), and emissions/water/waste. Output a schema for ...
Author: Tsubasa Kato
Category: analytics | Model: gpt-5-thinking
Propose a federated learning setup for {{health_use_case}}. Cover: on-device feature extraction, secure aggregation, bias checks, consent UX, and fallbacks for low-resource devices. Define model+data ...
Author: Tsubasa Kato
Category: data-science | Model: gpt-5-thinking
Define a measurement plan for {{product_concept}}: - North Star Metric, 3 input metrics - Content metrics per platform (view-through, ER, CTR, save/share, replies) - Weekly experiment sheet (hypothesi...
Author: Tsubasa Kato
Category: analytics | Model: gpt-5-thinking
Write: - App Store/Play Store listing (title, subtitle, long desc, 5 bullets, localized JA/EN) - Landing page copy (hero, 3 benefits, social proof, FAQs, footer CTAs) - 1 X announcement thread, 1 TikT...
Author: Tsubasa Kato
Category: go-to-market | Model: gpt-5-thinking
Act as warranty analytics lead. Deliver: early-warning signal system: DTC clusters, parts returns, complaint text mining, dealer hotlist, and triage council cadence. Map NHTSA reporting touchpoints an...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
Create a demand-sensing plan using POS, weather, promos (privacy-safe). Deliver: feature map, lag tests, backtest protocol, and guardrails. KPIs: MAPE ↓, bias ↓, alert precision ↑. Output: weekly cade...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
Be a supply chain analytics lead. Create a control-tower simulator spanning demand, supply, and logistics. Deliver: drivers (promo, seasonality, lead-time variance), policies (ROP/ROQ, MOQ, ATP), scen...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
Plan a synthetic-user journey simulation for onboarding flows. Deliver: persona matrix, task graph, stochastic behaviors, KPIs (completion, time, errors), experiment design. Output: event schema, dash...
Author: Tsubasa Kato
Category: Simulation | Model: GPT-5 Thinking
Generate a highly engaging and shareable social media thread or post that summarizes the latest news and trends as of September 12, 2025. Focus on key topics like potential US interest rate cuts from ...
Author: Grok
Category: news | Model: grok-4
You’re a global news creator. Craft a 3-tweet thread on Trump’s 100% semiconductor tariffs and their global impact. Mention chip stock rises. Use #TrumpTariffs, #TechNews, and 📉 emojis. Ask 'Will tari...
Author: Grok by xAI
Category: social media | Model: grok4
As a tech news creator, write a 4-tweet thread on India’s semiconductor push, including the Vikram chip and $1T market goal. Use #IndiaTech, #Semicon2025, and 💻 emojis. Ask 'Can India lead global tech...
Author: Grok by xAI
Category: social media | Model: grok4
You’re a political news creator on X. Write a 3-tweet thread on the US court ruling blocking Trump’s use of the Alien Enemies Act for deportations. Explain its impact with a neutral tone. Use #TrumpNe...
Author: Grok by xAI
Category: social media | Model: grok4
Measure last 7d vs last 24h adoption for {{feature}}. Output: DAU/WAU impact, activation funnel deltas, power-user behaviors, top cohorts, leading indicators. Suggest 3 quick experiments.
Author: Tsubasa Kato
Category: Product | Model: gpt-5
Using last 14d vs 24h data, identify stages with sharp drop-offs for role {{role}}. Report: stage rates, time-in-stage, source quality. Suggest 3 fixes (JD tweak, outreach, interviewer training).
Author: Tsubasa Kato
Category: People Ops | 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
Design a lightweight MMM combined with geo-experiments to validate channel incrementality. Provide data requirements, model outputs, budget reallocation rules, and example readouts for executives.
Author: ChatGPT
Category: business | Model: gpt-5
Create an implementation plan for server-side tagging and consent management (Consent Mode-style) across Japan, US, and EU sites. Include container architecture, data flows, event naming conventions, ...
Author: ChatGPT
Category: business | Model: gpt-5
Facilitate a workshop to define a North Star Metric and input metrics. Provide an alignment process, anti-patterns, and a 6-week rollout plan with dashboards.
Author: ChatGPT
Category: business | Model: gpt-5
I want you to act as a Deep Research analyst. Your goal is to perform an exhaustive investigation of the topic I provide, exploring it from multiple angles, sources, and frameworks. Structure your ans...
Author: [email protected]
Category: Deep Research, research, prompt, analyst, analysis | Model: GPT-5, GPT-4o, Sonar
Act as an expert business development representative for a Fortune 500 tech company specializing in cloud infrastructure. Our target customer is a medium to large enterprise in the financial services ...
Author: [email protected]
Category: business, sales, enterprise | Model: GPT-5, GPT-4o, GPT-4.5
You are an **expert task planner** with a precise, analytical, and user-sensitive communication style. Your job is to transform vague or high-level goals into clear, structured, and actionable sub-tas...
Author: [email protected]
Category: Planning, Plan, Goal | Model: GPT-4.1, GPT-4, o4-mini, o4-mini-high, o3
Create a science fiction adventure set on Mars centered around two teenage protagonists, Kael and Lyra, who uncover a hidden signal beneath Olympus Mons. The story explores their emotional journey, th...
Author: [email protected]
Category: story,story plot,Mars,space,science fiction | Model: GPT-4o,o3-mini,o1
You are an analytics expert for a small startup looking to boost website traffic. Create a detailed plan on how to analyze and optimize traffic strategies. Include recommendations for using tools like...
Author: [email protected]
Category: analytics, website traffic, Google Analytics | Model: GPT-4o, o3-mini, o3-mini-high, o1
Implement a systematic approach to monitor and optimize your SEO performance using metrics from search engine tools like Google Analytics and Search Console, and adjust your strategy accordingly.
Author: [email protected]
Category: NLP, Google Analytics, strategy | Model: GPT-4o, GPT-4, o3-mini, o1
日本全国の主要新聞、テレビ、オンラインニュースから毎日話題となっている最新のトップニュースを教えてください。そのニュースの詳細を簡潔にまとめ、なぜそのニュースが注目されているのかを3つのポイントで説明してください。
Author: [email protected]
Category: news | Model: chatgpt 4o
To evaluate whether a person has advanced knowledge of physics and science, consider the following ten questions covering a range of topics, including theoretical and experimental physics, as well as ...
Author: [email protected]
Category: Evaluation,NLP | Model: GPT-4o,o1,o1-mini
Explore the use of big data analytics in personalized marketing. Identify successful case studies and analyze the technologies and techniques used to achieve personalization at scale.
Author: Data Scientist
Category: Marketing | Model: GPT-4
Analyze the latest news articles (last 24 hours) related to the semiconductor industry. Identify key trends, emerging players, and potential investment opportunities.
Author: Business Analyst
Category: Business | Model: GPT-4