Trending Prompts

Implement reactive programming with MobX. Concepts: 1. makeObservable or makeAutoObservable. 2. @observable for tracked properties. 3. @computed for derived values. 4. @action for state mutations. 5. observer() HOC for React. 6. reaction() for side effects. 7. runInAction for async updates. 8. Decorators or annotations. MobX automatically tracks dependencies. Use with TypeScript and strict mode for best practices.

Set up a Turborepo monorepo with shared components. Structure: 1. apps/ folder for Next.js and React apps. 2. packages/ui for shared component library. 3. packages/config for shared configs (ESLint, TS). 4. Parallel task execution with turbo run. 5. Remote caching for CI/CD speed. 6. Versioning with changesets. 7. Storybook for component documentation. 8. Testing with Vitest across packages. Use pnpm workspaces and implement proper dependency graphs.

Deploy Istio service mesh on Kubernetes. Features: 1. Automatic sidecar injection for traffic management. 2. Mutual TLS for service-to-service encryption. 3. Traffic routing (canary deployments, A/B testing). 4. Circuit breaking and retry policies. 5. Distributed tracing with Jaeger. 6. Service-level metrics and dashboards. 7. Ingress gateway for external traffic. Configure virtual services and destination rules. Use Kiali for visualization. Include performance impact analysis and troubleshooting guide.

Designed for Instagram/Facebook Ads. A 5-slide carousel showing: Slide 1: Powerful headline + high-star rating. Slides 2-4: Specific customer wins with real metric (e.g., 'Saved 10hrs/week'). Slide 5: Final offer + CTA. Style: User-generated content (UGC) look, authentic photos, and clean bold typography.

Build a pixel-perfect replica of the Vercel Analytics dashboard. Focus on the 'Web Vitals' section. Use a minimalist grayscale palette with blue accents. Include: 1. Real-time visitor counter with pulse animation. 2. Geography heat map (placeholder). 3. Source/Referral table with clean borders. 4. Inter font family for a premium look. 5. Next.js Link prefetching for sub-pages.

Manage stress with evidence-based techniques. Toolkit: 1. Box breathing (4-4-4-4 count). 2. Progressive muscle relaxation. 3. Journaling (brain dump). 4. Physical exercise (20-min walk). 5. Social connection (call a friend). 6. Nature exposure (green spaces). 7. Limit news/social media. Identify stress triggers. Distinguish controllable vs uncontrollable. Use 'stress inoculation' (small challenges). Apps: Headspace, Calm. Chronic stress impacts health - prioritize management. Build resilience through regular practice. Seek professional help if overwhelmed.

Implement HashiCorp Vault for secrets management. Configuration: 1. Initialize and unseal Vault cluster. 2. Enable authentication methods (AppRole, Kubernetes). 3. Create policies for least-privilege access. 4. Store secrets (database credentials, API keys). 5. Dynamic secrets for databases (auto-rotation). 6. Encryption as a service for sensitive data. 7. Audit logging for compliance. Integrate with CI/CD pipelines and applications. Use auto-unseal with cloud KMS. Include backup and disaster recovery procedures.

Build a comprehensive product metrics dashboard. Key metrics: 1. Acquisition (signups, activation rate). 2. Engagement (DAU/MAU, feature adoption). 3. Retention (cohort analysis, churn rate). 4. Revenue (MRR, ARPU, LTV). 5. Referral (viral coefficient, NPS). Use AARRR (Pirate Metrics) framework. Create separate views for different stakeholders. Include trend lines and targets. Set up automated alerts for anomalies. Use tools like Mixpanel, Amplitude, or custom SQL dashboards.

Architect a secure User Management system. Use NextAuth.js for authentication (Google & GitHub providers) and Prisma with MongoDB for the database. Components needed: 1. 'Protected Route' wrapper using middleware. 2. Settings page to update profile (name, avatar, email). 3. Admin dashboard table listing all users with CRUD actions (Delete/Update Role). 4. Use Zod for form schema validation on the client and server.

Festive stripe overlay with 3D depth. The 'Nano Banana' algorithm applies red and white spiraling stripes to any complex 3D shape or garment. Features: 1. Glossy coat finish. 2. Shadows following the folds of the object. 3. Optional minty glow. 4. Seamless tiling without visible seams. Perfect for merchandise and holiday ads.

Calculate market size using TAM/SAM/SOM framework. Methodology: 1. TAM (Total Addressable Market) - top-down using industry reports. 2. SAM (Serviceable Addressable Market) - segment you can realistically target. 3. SOM (Serviceable Obtainable Market) - realistic market share in 3-5 years. Use multiple approaches: top-down (market research), bottom-up (unit economics), and value theory. Show calculations with clear assumptions. Visualize as nested circles or funnel. Include growth rate projections and market trends analysis.

Implement GitOps methodology using ArgoCD for declarative, Git-driven continuous delivery and application lifecycle management. GitOps principles: 1. Git as single source of truth: all configuration in version control, declarative infrastructure. 2. Automated deployment: git commits trigger deployment pipeline, no manual kubectl commands. 3. Observability: clear audit trail, drift detection, status reporting. 4. Security: Git-based access control, signed commits, policy enforcement. ArgoCD configuration: 1. Application setup: source repository, target cluster, sync policy configuration. 2. Sync strategies: automatic (immediate), manual approval, sync waves for ordered deployment. 3. Health checks: resource status monitoring, custom health checks for CRDs. 4. Rollback capability: Git revert triggers automatic rollback, previous state restoration. Repository structure: 1. Application manifests: Kubernetes YAML, Helm charts, Kustomize overlays. 2. Environment separation: dev/staging/prod directories, overlay configurations. 3. Secret management: external-secrets operator, sealed-secrets, Vault integration. Multi-cluster management: 1. Cluster registration: multiple Kubernetes clusters, environment-specific deployments. 2. Application sets: template-based application deployment, cluster-specific configurations. Monitoring integration: 1. Slack notifications: deployment status, failure alerts, approval requests. 2. Metrics: deployment frequency, lead time, success rate tracking (target: >95% success rate).

Respond professionally to negative reviews. Approach: 1. Thank them for feedback. 2. Apologize for their experience. 3. Address specific concerns mentioned. 4. Take responsibility without being defensive. 5. Explain corrective actions taken. 6. Invite offline conversation to resolve. 7. Offer to make it right. 8. Show other customers you care. Keep response public but move resolution private. Never argue or make excuses.

Create viral Instagram Reels. Formula: 1. Hook in first 1-2 seconds. 2. Trending audio for discovery. 3. Fast-paced editing. 4. Value-packed or entertaining. 5. Text overlays for sound-off viewing. 6. Clear CTA at end. 7. Hashtags (3-5 relevant). 8. Post timing for audience. Use vertical format and leverage carousel posts for longer content. Engage with comments quickly.

High-end hair transformation AI. Specialized in creating perfectly messy beach waves. Features: 1. Strategic flyaway hairs for a natural look. 2. Salty matte texture vs oily shine. 3. Sunkissed highlights (balayage). 4. Realistic volume and movement. 5. Optimized for high-resolution salon marketing and hair product ads.

Learn from recorded sales calls systematically. Tools: Gong, Chorus, Fireflies. Analysis framework: 1. Talk-listen ratio (aim for 40:60, rep talks 40%). 2. Question count (discovery calls need 10+ questions). 3. Monologue length (keep under 2 minutes). 4. Next steps clarity (was next meeting scheduled?). 5. Competitor mentions (were traps set?). Review process: weekly self-review (listen to 2 own calls), monthly peer review (present 1 call to team), quarterly manager review (review all calls, spot patterns). Scoring: 1-5 on discovery depth, rapport building, objection handling, closing. Create highlight reel of best calls for training. Common improvements: ask more questions, slow down, pause after questions, recap pain before pitching solution.

Achieve and measure PMF. Indicators: 1. Sean Ellis test ('how disappointed if product went away?' >40% 'very'). 2. Organic growth and word-of-mouth. 3. High retention rates. 4. Users getting core value quickly. 5. Revenue growth acceleration. 6. Qualitative: strong customer enthusiasm. Before PMF: talk to users constantly, iterate quickly. After PMF: scale efficiently. Don't scale prematurely. PMF is not permanent - can lose it.

Create a comprehensive statistical analysis plan. Components: 1. Research questions and hypotheses. 2. Variables (independent, dependent, covariates). 3. Descriptive statistics (means, frequencies, distributions). 4. Data cleaning and missing data handling. 5. Assumption testing (normality, homogeneity). 6. Primary analyses (t-tests, ANOVA, regression). 7. Secondary and exploratory analyses. 8. Multiple comparison corrections. 9. Effect sizes and confidence intervals. 10. Software and packages (R, SPSS, Stata). Pre-register plan before data collection. Avoid p-hacking.

Conduct a meta-analysis following PRISMA guidelines. Steps: 1. Formulate PICO question (Population, Intervention, Comparison, Outcome). 2. Systematic literature search. 3. Study selection and quality assessment. 4. Data extraction (effect sizes, sample sizes, moderators). 5. Calculate pooled effect size (fixed or random effects). 6. Assess heterogeneity (I² statistic, Q-test). 7. Test for publication bias (funnel plot, Egger's test). 8. Conduct sensitivity and subgroup analyses. Use software: R (metafor), Comprehensive Meta-Analysis. Report with forest plots.

Handle commission conflicts fairly. Common disputes: 1. Split credit (two reps claim same deal). 2. Deal attribution (inbound vs. outbound claimed). 3. Clawback timing (customer churned, commission retracted). 4. Rule interpretation (new comp plan unclear). Resolution process: 1. Rep submits written dispute with evidence (CRM notes, emails, timestamps). 2. Sales ops reviews within 3 business days. 3. Gather facts: CRM history, manager input, email trail. 4. Compare to comp plan terms. 5. Make decision with rationale. 6. Communicate outcome with explanation. 7. Escalation path if unresolved (VP Sales). Prevention: 1. Crystal-clear comp plan documentation. 2. Lead routing rules documented. 3. Split rules defined upfront (50-50 for equal contribution, 70-30 if lopsided). 4. Clawback terms clarified (typically 90-day window). 5. Regular comp plan training. Manager involvement: mediate before escalation. Transparency builds trust.

Build winning sales team culture through consistent rituals. Monday kickoff (30 mins): 1. Review week's goals. 2. Celebrate last week's wins (ring gong for closed deals). 3. Share one learning from lost deal. 4. Set individual commitments. Wednesday pipeline review (45 mins): 1. Forecast updates. 2. Top 3 deals per rep (progression, risks, needs). 3. Team problem-solving on stuck deals. Friday wins recap (30 mins): 1. Closed deals (ACV, customer name, rep). 2. Rep of the week (most meetings, best discovery call). 3. Learning share (technique that worked). 4. Weekend kudos. Monthly: team lunch, skills workshop (objection handling, demo techniques), top performer presents. Quarterly: offsite strategy session, awards (top revenue, best teamwork, most improved). Cultural elements: transparency (public metrics), collaboration (help each other), celebrate effort not just results. Manager sets tone: vulnerability, enthusiasm, accountability.

Resolve wrong item shipments. Protocol: 1. Apologize sincerely for the error. 2. Verify what they received vs ordered. 3. Immediately ship correct item (expedited). 4. Provide prepaid return label for wrong item. 5. Offer to let them keep wrong item if low value. 6. Provide discount or credit for inconvenience. 7. Waive any shipping fees. 8. Follow up to ensure satisfaction. Turn mistake into loyalty opportunity.

A leaderboard-style comparison of different fine-tuned models. Compare: 1. Llama 3 (LoRA) vs GPT-4v (RLHF) vs Mistral (Base). 2. Benchmarks: MMLU, GSM8k, HumanEval. 3. Column to show 'Inference Cost' vs 'Accuracy'. 4. Radar chart for multi-dimensional performance analysis.

Build AI apps with Vercel AI SDK. Features: 1. useChat hook for chat UI. 2. useCompletion for text generation. 3. Streaming responses with React Server Components. 4. Edge functions for low latency. 5. Multiple provider support (OpenAI, Anthropic). 6. Route handlers for API. 7. Streaming JSON for structured data. 8. Automatic loading states. Use streamText and implement function calling.

Optimize pricing strategy. Models: 1. Cost-plus (cost + margin). 2. Value-based (customer willingness to pay). 3. Competitive (market rates). 4. Penetration (low to gain share). 5. Premium (high for positioning). 6. Freemium (free + paid tiers). 7. Usage-based. 8. Dynamic pricing. Test with A/B experiments. Anchor with high tier. Use decoy pricing. Regularly review and adjust. Price is a lever for positioning.

Leverage AI to provide faster, more personalized feedback on student writing. Tools: Writable, Turnitin Feedback Studio, ChatGPT. Workflow: 1. Students submit essays to an AI-powered platform. 2. The AI provides instant feedback on grammar, spelling, sentence structure, and style. 3. The AI can also check for plagiarism and assess against a rubric. 4. Teacher reviews the AI's comments, adds higher-level feedback on argumentation and critical thinking, and adjusts the AI-generated score. 5. Students use the combined feedback to revise their work. Benefits: saves teacher time on low-level corrections, provides immediate feedback to students, allows teachers to focus on more substantive comments. Ethical consideration: teach students how to use AI as a tool, not a crutch.

Create FDA-compliant nutrition labels. Requirements: serving size, calories, 13 nutrients (fat, cholesterol, sodium, carbs, protein, vitamins). Calculation: 1. List all ingredients with amounts. 2. Use USDA database for nutrient values. 3. Calculate per serving. 4. Round per FDA rules. Software: Genesis R&D, ReciPal. Rounding: calories to nearest 5, fat to nearest 0.5g. Claims: 'low fat' (<3g), 'high fiber' (5g+), 'good source' (10-19% DV). Explain daily values, label format updates 2020, and compliance deadlines.

Teach students to use graphic organizers to deconstruct text. Types of Organizers: 1. Story Map: For fiction. Fields for characters, setting, problem, key events, and resolution. 2. Venn Diagram: For comparing and contrasting two concepts, characters, or texts. 3. KWL Chart: Before reading non-fiction. Columns for 'What I Know', 'What I Want to Know', and 'What I Learned'. 4. Cause and Effect Chain: For history or science texts. Shows the sequence of events leading to an outcome. 5. Frayer Model: For vocabulary. A four-square chart with definition, characteristics, examples, and non-examples. Model how to use each organizer with a shared text before asking students to use them independently.

Optimize a blog post for search engines and readability. Checklist: 1. Target keyword in H1, first paragraph, and URL slug. 2. Use semantic keywords and LSI terms naturally. 3. Structure with H2/H3 subheadings every 300 words. 4. Add internal links to 3-5 related posts. 5. Include meta description (155 chars) and alt text for images. 6. Aim for 1500-2500 words with Flesch reading score 60+. Provide content brief template with search intent analysis.

Advanced strategies for X/Twitter growth. 1. The 'Thread' structure (1 text-heavy, 1 visual). 2. Engagement hacking (Responding to big accounts). 3. Profile optimization for follow-rate. 4. Automation rules for 'Auto-DMs' and 'Ghostwriting'. 5. Monetization pathways. Real-world insights derived from 100k+ follower accounts.

Use Jotai's atomic approach to state. Concepts: 1. atom() for primitive state. 2. Derived atoms with get(). 3. Async atoms for data fetching. 4. atomFamily for dynamic atoms. 5. useAtom hook like useState. 6. Focus on specific atoms. 7. No string keys needed. 8. Works with Suspense. Minimal re-renders due to fine-grained subscriptions. Integrate with localStorage atoms for persistence.

Prevent churn for at-risk renewals. Identify at-risk signals: 1. Usage drop (30%+ decline). 2. Support ticket spike. 3. Champion left company. 4. NPS detractor response. 5. Decline QBR invitations. 6. 90 days to renewal. Intervention playbook: Day 1: Executive reach-out ('I noticed [usage drop]. What's going on?'). Day 7: Schedule rescue call with leadership team. Day 14: Present custom revival plan (address specific issues, quick wins, additional support). Day 30: Implement quick wins, show progress. Day 60: Review improvement, negotiate renewal terms. Negotiation leverage: multi-year commitment (lower price), pay-as-you-go (reduce risk), success-based pricing (align incentives). Last resort: pause option (3-month break, maintain data). Recovery tactics: assign new champion internally, executive sponsor program, dedicated CSM. Track save rate. Prevent: proactive usage monitoring, regular health checks, strong onboarding. Keeping customers cheaper than acquiring new ones.

Provision AWS infrastructure using Terraform. Resources to create: 1. VPC with public and private subnets across 3 AZs. 2. ECS Fargate cluster for containerized apps. 3. RDS PostgreSQL with Multi-AZ and automated backups. 4. Application Load Balancer with SSL certificate. 5. S3 bucket for static assets with CloudFront CDN. 6. IAM roles and security groups with least privilege. Use modules for reusability, remote state in S3, and workspaces for environments. Include cost estimation and tagging strategy.

Deploy and manage microservices communication using Istio service mesh for traffic management, security, and observability. Istio architecture: 1. Data plane: Envoy proxy sidecars, automatic injection, traffic interception. 2. Control plane: Pilot (traffic management), Citadel (security), Galley (configuration). 3. Ingress/egress gateways: external traffic management, TLS termination, rate limiting. Traffic management: 1. Virtual services: request routing, traffic splitting (10% canary, 90% stable), fault injection. 2. Destination rules: load balancing (round robin, least connection), circuit breaker configuration. 3. Gateways: external traffic entry points, protocol configuration, host-based routing. Security features: 1. mTLS: automatic mutual TLS between services, certificate management, encryption at service level. 2. Authorization policies: RBAC for service-to-service communication, JWT validation. 3. Security policies: network policies, ingress/egress controls, threat detection. Observability: 1. Distributed tracing: Jaeger integration, request flow visualization, latency analysis. 2. Metrics collection: Prometheus integration, service-level indicators, golden signals. 3. Access logging: comprehensive request logging, audit trails, compliance support. Performance optimization: 1. Sidecar configuration: resource limits (CPU: 100m, Memory: 128Mi), proxy protocols. 2. Traffic policies: timeout configuration (30s), retry policies (3 attempts), connection pooling. Canary deployments: 1. Traffic splitting: gradual rollout (5% → 10% → 50% → 100%), automated rollback. 2. Success criteria: error rate <0.1%, latency increase <10%, business metrics validation.

Maintain clean, actionable CRM data. Required fields for contacts: name, email, phone, company, title, lead source. For opportunities: amount, close date, stage, next steps, MEDDIC scores. Daily habits: 1. Log all activities immediately (calls, emails, meetings). 2. Update opportunity stage after every touch. 3. Add notes with key takeaways. 4. Set clear next steps and due dates. Weekly: 1. Update close dates for slipping deals. 2. Archive dead opportunities. 3. Merge duplicate contacts. 4. Enrich data (add missing phone numbers, job titles). Monthly: validation reports (missing data, stale opportunities over 90 days untouched). Automation: Zapier to enrich from LinkedIn, PersistIQ for bounce detection. Clean data enables: accurate forecasting, effective reporting, team collaboration. Manager spot-checks 10 records weekly.

Develop next generation of researchers through effective mentoring. Mentoring models: 1. Dyadic: traditional one-on-one mentor-mentee relationship. 2. Team mentoring: multiple mentors with different expertise areas. 3. Peer mentoring: lateral relationships between researchers at similar career stages. 4. Group mentoring: mentor works with cohort of mentees simultaneously. Mentoring competencies: 1. Research skills: methodology, analysis, writing, grant writing. 2. Professional development: networking, career planning, work-life balance. 3. Personal support: confidence building, resilience, identity development. Structure and process: 1. Goal setting: specific, measurable objectives for mentoring relationship. 2. Regular meetings: monthly face-to-face or virtual meetings with agenda. 3. Progress monitoring: quarterly reviews of goal achievement and relationship satisfaction. 4. Feedback: bidirectional feedback on mentoring effectiveness. Training programs: 1. Mentor training: active listening, giving feedback, cultural competence. 2. Mentee training: goal setting, communication, relationship management. Evaluation: surveys, focus groups, career outcome tracking for evidence-based improvement.

Hand-painted 2D background inspired by Hayao Miyazaki. Scene: 1. Lush, vibrant green forest with sunbeams (God rays) filtering through leaves. 2. Small whimsical forest spirits (Kodama style). 3. Crystal clear stream with blue and white accents. 4. Soft watercolor textures and detailed foliage. 5. Peaceful, nostalgic, and world-class animation quality.

Prepare effective board meetings. Deck structure: 1. Business updates (metrics dashboard). 2. Progress since last meeting. 3. Highlight wins. 4. Key challenges and asks. 5. Strategic initiatives. 6. Financial performance. 7. Team updates. 8. Looking ahead. Send materials in advance. Be transparent about problems. Use board's expertise. Follow up on action items. Typically monthly or quarterly.

Implement environmentally responsible creative production practices without compromising quality. Digital-first approach: 1. Virtual production: 3D environments, green screen, LED volumes reduce location travel. 2. Cloud collaboration: reduce physical meetings, shared digital workspaces. 3. Digital proofing: online review systems eliminate physical print reviews. 4. Archive digitization: reduce physical storage needs. Material selection: 1. Sustainable printing: soy-based inks, FSC-certified paper, local printing to reduce shipping. 2. Set design: reusable/recyclable materials, rental instead of purchase. 3. Wardrobe: vintage, rental, or sustainable fashion brands for shoots. 4. Props: repurposed items, rental houses, digital alternatives where possible. Production efficiency: 1. Batch shooting: multiple projects in single production day. 2. Location optimization: choose nearby locations to minimize travel. 3. Equipment sharing: rental pools, community resources. 4. Waste reduction: minimal packaging, composting on set, reusable water bottles. Carbon offset programs: calculate production footprint, invest in verified offset projects. Client education: sustainability benefits communication, green alternatives proposal, long-term cost savings demonstration.

Design a 4-level rubric to assess critical thinking in student essays. Criteria: 1. Identifies and summarizes the problem/question. 2. Considers and evaluates multiple perspectives/sources. 3. Analyzes assumptions and evidence. 4. Develops a well-reasoned conclusion or hypothesis. Levels: 4-Exemplary (sophisticated analysis, questions assumptions, synthesizes info). 3-Proficient (clearly explains, considers other views, logical conclusion). 2-Developing (identifies problem superficially, relies on limited sources, conclusion is weak). 1-Beginning (misunderstands problem, uses personal opinion over evidence). Use clear, observable language. Share rubric with students before the assignment.

Grow revenue from existing customer base. Qualify for expansion: 1. Health score green (high usage, NPS 8+). 2. Growth signals (new hires, funding, new departments). 3. Product usage indicating need (hitting limits, using workarounds). Expansion motions: 1. More seats (new team members). 2. Higher tier (need advanced features). 3. Cross-sell (complementary products). 4. Longer commitment (3-year vs 1-year). Touch model: 1. CSM identifies opportunity, introduces AE. 2. AE consults on growth needs. 3. Demo additional capabilities. 4. Provide expansion proposal. 5. Negotiate and close. Timing: QBRs, renewal conversations (90 days before), usage milestones. Tools: Gainsight for expansion signals, Salesforce for tracking. Expansion ARR often easier than new logos (50% higher win rate, 2x faster cycle).

Master async programming. Patterns: 1. async/await for readability. 2. Promise.all for parallel execution. 3. Promise.allSettled for all results. 4. Promise.race for timeout handling. 5. Try/catch for error handling. 6. Avoid callback hell. 7. Handle unhandled rejections. 8. Sequential vs parallel trade-offs. Use for I/O operations. Don't block event loop. Implement retry logic for resilience.

Designed to take a messy user prompt and 'optimize' it for GPT-4o. The optimizer should add: 1. Specific Persona (Expert Scientist, Creative Writer). 2. Constraints (No jargon, under 200 words). 3. Step-by-step reasoning instructions. 4. Expected output format (JSON, Markdown). 5. Few-shot examples to guide the model.

Traditional napa cabbage kimchi fermentation. Phase 1: Brine cabbage in 10% salt solution for 6-12 hours. Phase 2: Make paste with gochugaru, fish sauce, garlic, ginger, glutinous rice porridge. Phase 3: Coat cabbage leaves thoroughly. Phase 4: Pack in clean jar, leave 1-inch headspace. Phase 5: Ferment at room temp 1-2 days, then refrigerate. Monitor: days 1-3 (active bubbling), days 4-7 (tangy develops), weeks 2-4 (fully fermented). Explain Lactobacillus fermentation, CO2 release, and proper burping technique.

Teach students to 'think about their thinking'. Strategies: 1. Pre-assessment: Before a unit, have students complete a 'What I Know, What I Want to Know' (KWL) chart. 2. The Muddiest Point: During a lesson, pause and ask students to write down the 'muddiest point'—what is least clear to them. 3. Exam Wrappers: After a test, have students analyze their performance. Ask: 'How did you study?' 'What types of questions did you miss?' 'What will you do differently next time?' 4. Reflective Journals: Prompt students to reflect on their learning process weekly. 'What strategy worked well for you this week?' 'Where did you get stuck?' Goal: move students from passive recipients to active managers of their own learning.

Build compelling creative portfolio that showcases skills and attracts ideal opportunities. Portfolio structure: 1. Hero projects: 3-5 best pieces that demonstrate range and expertise. 2. Case studies: process documentation, problem-solution narrative, results achieved. 3. Skill diversity: show versatility across mediums while maintaining focused specialty. 4. Personal projects: demonstrate passion and creative initiative beyond client work. Project presentation format: 1. Challenge/objective statement (2-3 sentences). 2. Solution approach and creative process. 3. Visual execution with context and rationale. 4. Results and impact measurement where applicable. 5. Credits for collaborative work. Platform considerations: 1. Personal website: custom domain, fast loading, mobile optimized. 2. Behance/Dribbble: industry-standard platforms for creative discovery. 3. LinkedIn: professional context with work samples. Content curation: quality over quantity, update quarterly, remove outdated work. Personal branding: consistent visual identity, unique value proposition, authentic voice and perspective. SEO optimization: relevant keywords, project descriptions, alt text for images.

Build product platforms that enable third-party innovation. Platform components: 1. APIs: RESTful or GraphQL endpoints for core functionality. 2. SDK: developer tools and libraries for easy integration. 3. Developer portal: documentation, tutorials, support. 4. App marketplace: distribution channel for third-party apps. 5. Webhooks: real-time event notifications for external systems. Strategy decisions: 1. Core vs. edge: what you build vs. enable others to build. 2. Monetization: revenue share, listing fees, freemium. 3. Quality control: app review process, performance standards. 4. Partner enablement: technical support, co-marketing. Platform metrics: 1. Developer adoption: API usage, SDK downloads. 2. App ecosystem health: number of active integrations. 3. Revenue contribution: platform-driven vs. core product revenue. Success factors: start with strong core product, clear value proposition for developers, excellent documentation. Examples: Salesforce AppExchange, Shopify App Store.

Map complete customer journey to identify improvement opportunities. Stages: Awareness → Consideration → Purchase → Onboarding → Usage → Advocacy. For each stage: 1. Customer actions (what they're doing). 2. Touchpoints (where they interact with product/brand). 3. Emotions (frustration, excitement, confusion). 4. Pain points (friction, blockers, delays). 5. Opportunities (features, improvements, content). Data sources: user interviews, analytics (Google Analytics funnels), support tickets, sales feedback. Visualization: timeline with swim lanes for different channels (web, mobile, email, support). Prioritize fixes: high-impact, low-effort improvements first. Example pain point: complex signup process, solution: social login. Update quarterly as product evolves. Share with entire team for customer empathy.

Build comprehensive monitoring and observability infrastructure for production systems. Monitoring stack architecture: 1. Metrics: Prometheus for collection, Grafana for visualization, 15-second scrape intervals. 2. Logging: ELK Stack (Elasticsearch, Logstash, Kibana) or EFK (Fluentd instead of Logstash). 3. Tracing: Jaeger for distributed tracing, OpenTelemetry for instrumentation. 4. Alerting: AlertManager for routing, PagerDuty for escalation. Key metrics to monitor: 1. Infrastructure: CPU (>80% alert), memory (>85%), disk space (>90%), network I/O. 2. Application: response time (<200ms target), error rate (<0.1%), throughput (requests/second). 3. Business: user signups, conversion rates, revenue metrics, feature usage. Alerting best practices: 1. Alert fatigue prevention: meaningful alerts only, proper severity levels (critical/warning/info). 2. Runbook automation: automated remediation for common issues, escalation procedures. 3. On-call rotation: 7-day rotations, primary/secondary coverage, fair distribution. Dashboard design: 1. Golden signals: latency, traffic, errors, saturation for each service. 2. SLA monitoring: 99.9% uptime target, error budget tracking, service level indicators. Log management: structured logging (JSON), log retention policies (90 days), centralized aggregation with filtering.

Create a comprehensive sourdough starter maintenance guide. Cover: 1. Daily feeding ratios (1:5:5 flour-to-water). 2. Signs of healthy fermentation (bubbles, doubling in size). 3. Temperature control (75-80°F ideal). 4. Discard management and recipes. 5. Troubleshooting weak or sluggish starters. Include photo examples of peak activity and proper consistency. Use thermometer and kitchen scale for precision. Document float test technique.