Showing results for "ops"
Design an AI-native CRM that focuses on outcomes: automatic enrichment, next best actions, and clean data governance. Include monetization and migration strategy.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create an agent that ingests postmortems and incident tickets, extracts recurring causes, and proposes preventative code/monitoring changes. Require human review.
Author: Assistant
Category: safe-self-improving-ai | 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
Create a family ops product: school coordination, meal planning, routines, and learning activities. Include safety boundaries and monetization (family subscription).
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design an improvement loop keyed to SLOs: latency, error rates, and quality metrics. Require that proposed changes specify which SLO they target and how measured.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design tabletop exercises and simulations for agent failures (bad PR, bad deploy). Include roles, scripts, and acceptance criteria for readiness.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a documentation set for the self-improving agent: architecture, tools, policies, and runbooks. Include a “limitations” section and safety rationale.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an AgentOps platform: deployment, permissions, observability, evals, and compliance reporting. Include buyer personas and monetization (seat vs usage).
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design governance for self-improving systems: approval rules, quarterly audits, access reviews, and incident drills. Include “who can change the agent” controls.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design automated rollback tests that verify deployments can be reverted cleanly. Include data migration constraints and safe fallback paths.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a global kill switch that halts all automated edits/deploys across environments. Include manual override process and audit logging.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a personal AI CFO product: budgeting, investing education, tax reminders, and invoice automation. Include privacy-first architecture and monetization plans.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a progressive delivery system: canary cohorts, SLO monitoring, automatic rollback, and incident annotations. Include safe defaults and stop conditions.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a portfolio strategy for abundance-era builders: capital allocation, kill criteria, and scale triggers. Include reporting cadence and risk controls.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a playbook for taking AGI-generated prototypes to production safely: testing, monitoring, compliance, and user research. Include timelines and roles.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a plan for an AI-native game studio: content generation, balance testing, community ops, and monetization without predatory patterns. Include governance and metrics.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Define where humans must remain in the loop: high-impact actions, security-sensitive steps, and ambiguous decisions. Provide a decision taxonomy and UI/ops requirements for approval workflows.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design a weekly meeting agenda focused on safety and reliability: review dashboards, incidents, near-misses, red-team findings, and upcoming risky changes. Include decision outputs and owners.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create a balanced scorecard: utility metrics (task success), safety metrics (policy adherence), reliability (latency, uptime), and user trust (complaints). Include leading indicators and dashboards.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create a post-mortem template tailored to AI regressions: data/prompt/model diffs, evaluation gaps, monitoring misses, and remediation tasks. Include a ‘lessons to tests’ section.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design safety culture practices: blameless reporting, review norms, escalation comfort, and training. Include weekly rituals and how to measure culture health.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Define monitoring signals: policy violations, anomaly detection, tool misuse attempts, unusual output distributions, and drift. Provide alert thresholds, runbooks, and an on-call playbook.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create an incident response plan specific to AI: detection, containment, user comms, rollback, forensic logging, and post-incident retraining rules. Include severity levels and example incidents.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create a co-op session plan for friends with limited time: role assignments, quick-start rituals, shared goals, and a ‘wrap-up’ routine. Include templates for weekly game nights.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Create a team communication protocol: call types, brevity rules, confirmation loops, and post-round micro-debriefs. Include examples for FPS, MOBA, and tactical co-op games.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Design end-to-end tracing: prompt versions, retrieval results, tool calls, retries, and final answers. Include a log schema and query examples for incident investigation.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Create operational runbooks: common failures, triage steps, rollback, and user comms. Include SLO breaches, tool outages, and prompt regressions.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
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
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
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
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 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
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
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
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 an SOP for a 2–3 person team to publish at high cadence: roles, weekly rhythm, review gates, asset templates, and KPIs. Include a backlog grooming method and a ‘done’ definition.
Author: Assistant
Category: content-generation-2026 | Model: gpt-4o
Design a finance AI roadmap: close automation, variance analysis, forecasting, and controls. Include policy for human sign-off and metrics tied to close time and accuracy.
Author: Assistant
Category: ai-strategy-2026 | Model: gpt-4o
Plan a potluck with roles (host, drinks, mains, desserts). Provide a coordination message, allergy tracking, and a timeline to avoid kitchen bottlenecks.
Author: Assistant
Category: event-ops | Model: gpt-4o
Publish a waiver wire guide using rolling K-BB%, GB/FB mix, park factors, and upcoming lineups. Add ‘drop or stash?’ sliders and a community trade thread.
Author: Assistant
Category: fantasy-ops-high-utility | Model: gpt-4o
Create a worksheet to find operational bottlenecks. Include Little’s Law, queueing intuition, and a before/after KPI table.
Author: Assistant
Category: ops-analysis-MBA-students | Model: gpt-4o
Draft an attendance plan template: root cause hypotheses, family contact script, incentives, barriers (transport, sleep, anxiety), and review cadence. Include data tracking fields.
Author: Assistant
Category: student-success-ops | Model: gpt-4o
Define 5 non-negotiable culture principles with behaviors.
Author: Assistant
Category: people-ops | Model: gpt-4o
Create a 30-minute weekly CEO review covering: company pulse, top 3 priorities, key risks, metrics snapshot, and one decisive action for next week.
Author: Assistant
Category: ceo-ops | Model: gpt-4o
Define a clear hiring bar and interview principles for early-stage startups.
Author: Assistant
Category: people-ops | Model: gpt-4o
Launch LINE mini-app coupons for Osaka shops. Provide QR flows, anti-abuse, and festival calendars. Calibrate ≥70% predicted engagement.
Author: Assistant
Category: local-commerce-JP-ops | Model: gpt-4o
Map the cold chain in a Duque de Caxias food warehouse: temp loggers, door discipline, staging time limits, and alarm escalation. Output loss reduction plan.
Author: Assistant
Category: cold-chain-ops | Model: gpt-4o
Build a pre-market heatmap for Asia/ASEAN showing overnight moves (equities, FX, rates, oil, LNG spot), top policy headlines, and a 6-bullet risk radar. Output a one-page table with color-coded deltas...
Author: Assistant
Category: newsroom-ops | Model: gpt-4o
Assemble a micro-influencer plan in Jakarta: 24 creators (food, tech, study), fee bands, promo codes, and lift model to keep ≥70% predicted engagement.
Author: Assistant
Category: creator-growth-ops-SEA | Model: gpt-4o
Plan an optimization pass: Triton/CUDA kernels, fused ops, tensor parallel chunking, and activation checkpointing. Provide profiling snapshots and gains.
Author: Assistant
Category: systems-acceleration-LLM | Model: gpt-4o
ChatGPT maps controls to code/process; Cursor instruments logs/alerts; Antigravity gathers evidence on schedule and exports a binder. Include DSR/retention tests.
Author: Assistant
Category: compliance-ops | Model: gpt-4o
Collect logs/incidents; ChatGPT drafts a blameless postmortem; Cursor queries log/trace snippets and links to code; Antigravity reconstructs a timeline and verifies action items land in code/config. P...
Author: Assistant
Category: reliability-ops | Model: gpt-4o
ChatGPT converts commits/PRs into user-facing notes, Cursor wires scripts into release pipelines, Antigravity tags versions and posts notes to docs/Slack. Include deprecation warnings template.
Author: Assistant
Category: release-ops | Model: gpt-4o
Have ChatGPT define DORA+space metrics; Cursor wires collectors in CI; Antigravity aggregates and alerts on error-budget burn. Provide a monthly review agenda.
Author: Assistant
Category: engineering-ops | Model: gpt-4o
ChatGPT converts PR changes into docs; Cursor updates MDX/diagrams; Antigravity verifies links/examples and deploys docs site previews. Include contribution guidelines.
Author: Assistant
Category: documentation-ops | Model: gpt-4o
Summarize an earnings call transcript into bullets: demand, margin, guidance, capital allocation. Tag surprises vs expectations and list follow-ups.
Author: Assistant
Category: investing-research-ops | Model: gpt-4o
Design a multilingual shorts pipeline: subtitle timing, on-screen text variants, cultural imagery swaps. Provide Veo/Sora prompt tweaks per locale.
Author: Assistant
Category: video-localization-ops | Model: gpt-4o
Create a loop: baseline render → critique by 5 visual axes (composition, lighting, motion, palette, clarity) → adjust prompts → A/B compare. Provide a worksheet.
Author: Assistant
Category: video-ops-quality | Model: gpt-4o
Model ground operations for a commuter aircraft: charging/refuel, pax flow, baggage, and maintenance windows. Design GSE requirements and a 15-minute turnaround target plan.
Author: Assistant
Category: operations-engineering | Model: gpt-4o
Plan a collaboration workflow: script writer, prompt director, editor, and publisher roles. Provide a task board and handoff templates.
Author: Assistant
Category: video-production-ops | Model: gpt-4o
Create a production pipeline: ICC profiles, proofing ladder, ink limits, paper choices, and printer handoff. Provide preflight checklist and schedule.
Author: Assistant
Category: production-ops-print | Model: gpt-4o
Define a modular avionics stack (navigation, comms, flight control computers) and a pilot HMI for single-pilot ops. Provide alerting philosophy, failure modes, and a training outline.
Author: Assistant
Category: avionics-systems | Model: gpt-4o
Design a DAG (Airflow/Prefect) for reproducible research: crawl→retrieve→synthesize→verify→export. Include artifact hashing and cache invalidation rules.
Author: Assistant
Category: ops-pipelines-research | Model: gpt-4o
Simulate three plausible market shifts and outline counter moves in pricing, product, and channels. Produce a 90 day response playbook.
Author: Assistant
Category: scenario-ops | Model: gpt-4o
Create a scorecard for partners across revenue, pipeline, enablement, and trust. Produce a quarterly partner health review and action list.
Author: Assistant
Category: partner-ops | Model: gpt-4o
Define a cadence for reversible vs irreversible decisions. Add premortem, postmortem, and decision log templates. Output a 30 60 90 rollout plan.
Author: Assistant
Category: management-ops | Model: gpt-4o
Create a balanced portfolio of growth and efficiency experiments. Classify by risk and time to impact, set guardrails, and schedule 6 concurrent tests. Output a dashboard spec.
Author: Assistant
Category: growth-ops | Model: gpt-4o
Compare delivery partners, fees, prep times, batching, and refund rates for retail and food competitors. Model per-order margin. Recommend levers to win on speed or margin.
Author: Assistant
Category: ops-economics | Model: GPT-5.1
Benchmark kitchen line design, make times, and delivery surge handling of food rivals. Propose layout or prep changes to raise peak-hour throughput safely.
Author: Assistant
Category: ops-optimization-food | Model: GPT-5.1
Benchmark FCC/CE/BSMI/NCC timelines among rivals. Map label text, user guides, and localization. Suggest a certification critical path and buffers.
Author: Assistant
Category: regulatory-ops-hardware | Model: GPT-5.1
Build a simple Monte Carlo model for BD pipeline with stage probabilities and cycle times. Output best case, median, and worst case quarter forecasts.
Author: Assistant
Category: financial-ops-BD | 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
Create incident severities, comms templates, and blameless postmortem format. Propose a 30 minute weekly learning review.
Author: Assistant
Category: reliability-ops | 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
Establish a structured loop from field notes to backlog with tags and impact scoring. Output an intake form and triage schedule.
Author: Assistant
Category: cross-functional-ops | Model: gpt-4o
Create a shared calendar with campaign beats, content swaps, and UTM schemes. Output a 12 week joint plan and measurement framework.
Author: Assistant
Category: campaign-ops-partners | Model: gpt-4o
Measure flow efficiency vs wait time across intake to delivery. Propose WIP limits and policy changes. Output a kanban health report.
Author: Assistant
Category: lean-ops | Model: gpt-4o
Map intake to signature to renewal, with SLAs and redline patterns. Suggest fallback clauses and playbooks. Output a time to close reduction plan.
Author: Assistant
Category: rev-ops-legal | Model: gpt-4o
Draw a service blueprint from touchpoints to backstage queues. Calculate capacity and propose queue disciplines. Output backlog changes.
Author: Assistant
Category: service-ops-engineering | Model: gpt-4o
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
Map value stream and identify wait states. Propose automation and policy changes to cut cycle time by 30 percent. Output investment cases.
Author: Assistant
Category: throughput-ops | Model: gpt-4o
Create vendor evaluation criteria, security checklist, and 30 60 90 onboarding. Output playbooks for small, medium, and strategic buys.
Author: Assistant
Category: vendor-management | Model: gpt-4o
Schedule cross team game days to test failure modes. Define scenarios, injects, and success criteria. Output a readiness score.
Author: Assistant
Category: resilience-ops | Model: gpt-4o
Provide a 30 60 90 plan for integrating a small team acquisition. Cover culture, systems, and role clarity. Output success metrics.
Author: Assistant
Category: integration-ops | Model: gpt-4o
Build a monthly enablement cadence for sales, success, and partners with new features and plays. Output a content calendar and quiz.
Author: Assistant
Category: enablement-ops | Model: gpt-4o
Propose experiments on price levels, packaging, and fences. Define sample size, guardrails, and rollout plan. Output a decision log template.
Author: Assistant
Category: pricing-ops | 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
Summarize data, tax, and export rules across target regions. Output a compliance checklist and a risk register with owners.
Author: Assistant
Category: global-ops | Model: gpt-4o
Quantify debt as principal and interest. Prioritize by impact and add a standing 15 percent capacity policy. Output a quarter plan with paydown epics.
Author: Assistant
Category: architecture-ops | Model: gpt-4o
Define weekly customer touch, monthly synthesis, and quarterly problem framing. Output interview guides and an insight repository schema.
Author: Assistant
Category: discovery-ops | Model: gpt-4o
Produce a unit economics model: COGS/BOM, cloud cost per user, CAC/LTV by region, and budget guardrails with variance alerts.
Author: Assistant
Category: financial-planning-ops | Model: gpt-4o
Draft role scorecards (frontend, backend, firmware, test) with skills relevant to TW/US stacks, bilingual collaboration, and sample structured interviews.
Author: Assistant
Category: talent-ops-engineering | Model: gpt-4o
Define a structured handoff from Sales to CS: discovery doc, admin setup, kickoff agenda, health scores, and expansion play triggers by region.
Author: Assistant
Category: revenue-ops-CS | Model: gpt-4o
Create a consumer warranty/returns policy aligned to US and Taiwan norms. Include RMA workflow, localization requests (labels/manuals), and comms templates.
Author: Assistant
Category: post-sales-ops | Model: gpt-4o
Provide a QBR template combining US and TW performance: pipeline, CAC/LTV, cohort retention, creative tests, and next-quarter bets.
Author: Assistant
Category: marketing-ops-cadence | Model: gpt-4o
Draft an engineering→support escalation playbook with SLAs by region/time zone, bilingual macros, and incident retros.
Author: Assistant
Category: support-ops-integration | Model: gpt-4o
Map multi-source strategy, long-lead components, alternates, AVL management, and ECO workflow. Add Taiwan factory logistics and US customs lead-time buffers.
Author: Assistant
Category: supply-chain-ops | Model: gpt-4o
Design a partner program for SIs/VARs: tiers, MDF rules, training, co-marketing, lead registration, and regional compliance guidelines (US/TW).
Author: Assistant
Category: partner-ops | Model: gpt-4o
Create a research plan: recruit TW and US panels, consent forms, bilingual scripts, and synthesis templates. Include incentives and privacy handling.
Author: Assistant
Category: UX-research-ops | Model: gpt-4o
Outline tax/logistics basics: US state sales tax handling, Taiwan import/VAT, Incoterms selection, and last-mile options. Provide cost model template.
Author: Assistant
Category: rev-ops-logistics | Model: gpt-4o
Write a runbook: naming conventions, asset library, translation workflow, approval matrix, and backup owners for TW/US holidays.
Author: Assistant
Category: martech-operations | Model: gpt-4o
Provide vendor scorecards for agencies/factories/cloud: quality, cost, delivery, responsiveness, and security. Include escalation ladders.
Author: Assistant
Category: vendor-management | Model: gpt-4o
Create SLO targets per region, on-call rotations spanning TW/US, incident severity ladder, customer comms templates, and postmortem format.
Author: Assistant
Category: reliability-ops | Model: gpt-4o
Plan community presence: US (Reddit/Discord) and Taiwan (Dcard/FB Groups). Include moderation rules, escalation paths, and KPI dashboard.
Author: Assistant
Category: community-ops | Model: gpt-4o
Create TW/US-aligned OKRs for Marketing, Product, Eng, and Ops. Include weekly check-in format and red/amber recovery plans.
Author: Assistant
Category: strategy-ops | Model: gpt-4o
Produce a brand localization guide in English for teams building Taiwan + USA campaigns. Cover tone, honorifics, emoji norms, Traditional Chinese typography (fonts, line height), numeral/currency (USD...
Author: Assistant
Category: marketing-ops | Model: gpt-4o
Write step-by-step arrival guides for several European and Asian hubs covering immigration, cash vs ATM, SIM pickup, transit to center, and late-night fallback. Include a 30-minute quick start list.
Author: Assistant
Category: arrival-ops | Model: gpt-4o
Design a two-week capsule wardrobe and laundry plan using hotel machines or laundrettes. Include packing cubes, sink-wash items, dryer-safe notes, and a day-by-day wear rotation.
Author: Assistant
Category: packing-ops | Model: gpt-4o
Summarize IDP needs, toll systems, low-emission zones, parking customs, and speed cameras by region. Add a rental pick-up inspection list.
Author: Assistant
Category: road-ops | Model: gpt-4o
Explain station lockers, hotel storage, and luggage forwarding in Europe and Asia. Include size limits, safety notes, and multi-city examples.
Author: Assistant
Category: bag-ops | Model: gpt-4o
Create a minute-by-minute test-day routine: warm-up speaking prompts, last-mile reading skim, hydration/caffeine plan, breathing drill, and a post-exam debrief sheet.
Author: Assistant
Category: performance-ops | Model: gpt-4o
Create a CLI to list/start/stop services using systemctl/launchctl/Windows ServiceController. Flags: --list, --status name, --restart name, with privilege checks and logs.
Author: Assistant
Category: cli-tool | 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 a lab automation engineer. Propose a bench-to-cloud setup: liquid handler protocols, barcode schema, LIMS/ELN fields, error handling, and audit trails. Include CSV templates.
Author: Assistant
Category: lab-ops | Model: gpt-5
You are a revenue ops lead. Define lead tags: persona, stage, intent, next step, and NDA flag. Add score weights, disqualifiers, and a 30-second capture script. Output a JSON tag schema.
Author: Assistant
Category: trade-show | Model: gpt-4o
You are a thrombosis mentor. Summarize DOAC/warfarin starts, reversal, bridging logic, and peri-procedural hold/resume timing by bleeding risk. Include patient counseling points and monitoring templat...
Author: Assistant
Category: cardio-hematology | Model: gpt-5
Act as a peri-op partner. Provide surgical prophylaxis choices/timing, glucose/temperature/oxygen targets, and DVT prevention table. Include stop-order reminders.
Author: Assistant
Category: perioperative-quality | Model: gpt-5
Act as a sustainability lead. Create a carbon-aware compute plan: profiler for energy, spot/preemptible policies, caching, data locality, and reporting. Include a ‘green score’ rubric.
Author: Assistant
Category: HPC-ops | Model: gpt-5
Act as a cloud architect. Design a secure VPC for sensitive data: network segmentation, KMS, PAM, workspace isolation, secure notebooks, and egress controls. Include a runbook for onboarding.
Author: Assistant
Category: cloud-ops-research | Model: gpt-5
Act as an ops planner. Map booth locations to a walking route per objective: competitor cluster, partner alley, startup zone, and media row. Add timeboxing, snack/water breaks, and daily “must hit” pi...
Author: Assistant
Category: trade-show | Model: gpt-4o
You are an HPC coach. Map CPU→GPU wins: alignment, variant calling, and k-mer ops. Include memory bandwidth tips, batching, and cluster job arrays. Provide a benchmark plan.
Author: Assistant
Category: HPC-bioinformatics | Model: gpt-5
You are legal ops. Draft guidance for IP-sensitive demos: what not to film, NDA one-liner, safe note-taking, and “off the record” signage. Include a consent and badge scanning disclaimer snippet.
Author: Assistant
Category: trade-show | Model: gpt-4o
Act as an ambulatory ops coach. Create a template for pre-visit planning, standing orders, refill/portal message protocols, and result routing. Add smart-text for common replies.
Author: Assistant
Category: practice-management | Model: gpt-5
Act as a mobile ops coach. Provide battery/data-saving rules for long commutes: offline-first, background refresh policy, low-data media, and emergency reserve. Output a checklist.
Author: Assistant
Category: operations | Model: gpt-5
You are a document coach. Provide a method to review contracts and docs on mobile: heading map, comment codes, risk highlights, and 'approve/block' criteria. Deliver a one-page SOP.
Author: Assistant
Category: legal-ops | Model: gpt-5
You are a knowledge ops lead. Create a listening workflow: timestamped notes, 3 takeaways, 1 action, and a reference tag. Provide a template for converting episodes into a memo.
Author: Assistant
Category: learning | Model: gpt-5
Act as an ops assistant. Create a scheduling cheat sheet for Japan, India, and USA overlaps: 'best 3 windows', buffer rules, and template replies for proposing times. Provide a polite rescheduling scr...
Author: Assistant
Category: operations | Model: gpt-5
You are a finance ops coach. Create a receipt capture workflow for commuters: daily OCR step, category tags, per-diem notes, and weekly reconciliation checklist. Provide a one-tap template.
Author: Assistant
Category: finance | Model: gpt-5
You are a sales ops coach. Turn voice dictation from the train into a clean deal memo: opportunity summary, next actions, risks, blockers, and CRM fields. Output a reusable outline and tagging scheme.
Author: Assistant
Category: sales | Model: gpt-5
You are a media ops lead. Build a system for tagging B-roll, sound effects, overlays, and memes. Include folder schema, proxies, versioning, and a searchable catalog template.
Author: Assistant
Category: creator | Model: gpt-4o
You are an exec comms coach. Create a 6-month plan: POV themes, op-ed angles, conference targets, LinkedIn cadence, ghostwriting workflow, measurement (mentions, inbound invites), and risk guardrails.
Author: Assistant
Category: PR | Model: gpt-4o
Act as a community lead. Create an SOP: onboarding messages, rituals, content cadence, role of ambassadors, conflict resolution, and measurement. Provide a weekly ops checklist.
Author: Assistant
Category: PR | Model: gpt-4o
Act as an ops lead. Map a publish checklist: upload specs, captions/subs, chapters, end screens, cards, pinned comment, TikTok scheduling, and first-hour engagement plan. Provide a QA worksheet.
Author: Assistant
Category: creator | 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
Analyze relevant market data that will benefit from: Energy-efficient LLM inference strategies
Author: ivan
Category: ops | Model: gpt-4o-mini
Give important information about: Europe's Winter Energy Outlook: Local and Regional Risks
Author: frank
Category: ops | Model: gpt-4o
Give detailed steps on:Urban Crime Trends in US Cities: Data-Driven Local Reporting
Author: carol
Category: ops | Model: gpt-4o
Create a liquidity stress-testing playbook in Geneva for ESG disclosures for Swiss-listed issuers with global ops. Provide scenarios (mild/base/severe), haircuts, time-to-liquidate tiers, and funding ...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Write an operations plan in London for FCA SMCR responsibilities map and attestations corporate actions. Cover event capture, options processing, deadlines, and client notices. Return a RACI table and...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Write an operations plan in Tokyo for yen carry trade risk notes for corporates corporate actions. Cover event capture, options processing, deadlines, and client notices. Return a RACI table and a dai...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
For {{infrastructure}} define water impact and reductions. Cover: cooling strategies, recirculation, leak detection, and drought-mode ops. Set WUE targets and alerting rules. Provide a retrofit plan f...
Author: Tsubasa Kato
Category: infrastructure | Model: gpt-5-thinking
Design perks that boost health and reduce footprint: commute stipends (bike/public), ergonomic kits, green cafeterias, movement breaks, and nature days. Add participation metrics and survey templates.
Author: Tsubasa Kato
Category: people-ops | Model: gpt-5-thinking
You are an OKR architect. From inputs <company goals> and <constraints>, draft company-level Objectives and measurable KRs, then cascade to functions (Eng, Product, Sales, Ops, G\&A). Include baseline...
Author: ChatGPT
Category: CEO | Model: GPT-5 Thinking
Satellite-to-phone moves from pilot to platform. Action: scope backup connectivity for field ops/IoT; evaluate MNO partnerships and device compatibility; plan for regulatory approvals by market.
Author: ChatGPT
Category: Telecom & Infra | 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 an IT ops partner for a 200–2,000 seat office. Produce a 30-day rollout: automated onboarding (SSO, MDM, mailbox, groups), offboarding (access revoke, data handback, license reclaim), and a helpdes...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
Act as an industrial engineer. Build a warehouse digital twin to improve pick speed and accuracy. Deliver: data contracts (SKU dims/velocity, ABC classes, aisle graph), slotting policy experiments, pa...
Author: Tsubasa Kato
Category: Operations | Model: GPT-5 Thinking
Act as a datacenter reliability lead. Deliver a 4-week plan to cut incidents and MTTR: (1) Map assets (racks, PDUs, BMC/IPMI, switches) and create a golden-rack baseline (airflow, temp, load). (2) Bui...
Author: Tsubasa Kato
Category: Operations | 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
Create a discrete-event simulation for SKUs across two echelons. Deliver: demand model, lead times, reorder policy variants, KPIs (fill rate, stockouts, cash tied), parameter sweeps, visualization. Ou...
Author: Tsubasa Kato
Category: Simulation | Model: GPT-5 Thinking
Plan a patient flow simulation (non-clinical). Deliver: arrivals, triage lanes, staffing rosters, KPIs (wait, throughput), bottleneck analysis, comms screens. No medical advice. Output: DES plan, data...
Author: Tsubasa Kato
Category: Simulation | Model: GPT-5 Thinking
Plan a macro-level simulation of energy/cost for food-safe industrial fermentation lines (generic). Deliver: process blocks, inputs (power tariffs, throughput), KPIs (kWh/kg, cost/unit), sensitivities...
Author: Tsubasa Kato
Category: Simulation | Model: GPT-5 Thinking
Plan a benign lab-room/equipment scheduling simulation (generic instruments). Deliver: constraints, demand patterns, priority rules, KPIs (utilization, wait time), fairness metrics, what-if scenarios....
Author: Tsubasa Kato
Category: Simulation | Model: GPT-5 Thinking
You are a product ops partner. Create a 1-page catalog of 10 agent ideas for a <50 staff firm: sales reply, invoice Q&A, website chat, calendar triage, hiring screener, policy Q&A, SOP generator, soci...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking
For {{case_or_filing}}, list all filing/response deadlines within next 7d and any changes in past 24h. Include court orders, docket updates, required docs, owners. Provide a checklist.
Author: Tsubasa Kato
Category: Legal | 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 {{regions}}, check next 72h severe weather. Report: expected impacts to logistics, staff safety, data centers. Suggest contingency plans and customer messaging. Include official forecast links wit...
Author: Tsubasa Kato
Category: Operations | Model: gpt-5
List partners/vendors breaching SLA in last 24h. For each: metric, severity, affected customers, contractual remedies, escalation owner. Provide 3 corrective actions.
Author: Tsubasa Kato
Category: Operations | Model: gpt-5
Produce a crisp post-incident brief for outage {{incident_id}} within last 12h: start/end, user impact, top 3 proximate causes, current status, rollback/mitigation, next steps, ETA to full recovery. L...
Author: Tsubasa Kato
Category: Engineering | Model: gpt-5
Identify SKUs with <{{days}} days of cover. Show demand trend last 28d vs 24h, supplier lead times, reorder points. Recommend expedite/bundle/markdown actions.
Author: Tsubasa Kato
Category: Operations | Model: gpt-5
Create a Rakuten store optimization plan: storefront modules, couponing strategy, search keywords, RPP ads structure, and review generation. Include weekly ops checklists.
Author: ChatGPT
Category: business | Model: gpt-5
Design a JP e-commerce entry plan covering Rakuten Ichiba, Yahoo! JAPAN Shopping, Amazon.co.jp, and LINE Mini App. Include store ops, coupons, PayPay/credit flows, review acceleration, and seasonal ca...
Author: ChatGPT
Category: business | Model: gpt-5
Build a sales coverage model by territory (Japan/US/EU), segment, and channel. Include ramp times, quota assumptions, and a hiring plan with ROI checks.
Author: ChatGPT
Category: business | Model: gpt-5
Outline an operations-friendly brief for cross-border EU VAT handling for a DTC brand, with plain-English flows and handoffs to finance systems. Include risk flags and communication templates.
Author: ChatGPT
Category: business | Model: gpt-5
Create a workflow where AI drafts region-specific proposals and MSAs. Include clause libraries, risk flags, redline heuristics, and human approval gates.
Author: ChatGPT
Category: business | Model: gpt-5