Practical tutorials on using AI tools effectively.
Sora can generate compelling marketing video clips in minutes. This guide covers effective prompting, combining clips into campaigns, and the practical workflow for using AI video in real marketing.
Build a full-featured AI chatbot with streaming responses, conversation history, and a clean UI using the Anthropic Claude API, Next.js, and Tailwind CSS.
Thinking about switching from GitHub Copilot to Cursor? This step-by-step migration guide covers settings transfer, workflow adjustments, and how to get productive in Cursor within a day.
Automated AI code review can catch bugs before they reach main. This guide shows you how to integrate Claude, CodeRabbit, or custom review scripts into GitHub Actions CI/CD pipelines.
AI can turn a pile of papers, articles, and notes into coherent insights. This guide shows you the workflow for using NotebookLM, Claude, and Perplexity to synthesize research faster without sacrificing accuracy.
You can't run Claude itself locally, but open-source alternatives are surprisingly capable. This guide shows you how to set up Ollama with top coding models and connect them to your IDE.
Retrieval-Augmented Generation lets Claude answer questions about your own documents. This guide walks through building a working RAG app with Claude, pgvector, and Python — from embeddings to production.
Step-by-step guide to getting professional-quality AI headshots from services like Aragon.ai, HeadshotPro, and others — including the photo tips that make the biggest difference.
Choosing an AI model is one of the most consequential technical decisions a startup can make. This guide helps you evaluate Claude, GPT-4o, Gemini, and open-source models for your specific use case.
AI hallucinations are still a real problem. Learn the verification techniques, prompting strategies, and workflow practices that catch hallucinations before they cause real damage.
AI can speed up SEO content creation significantly, but the wrong approach produces content that gets penalized. This guide shows you the techniques that work in 2026 — and the mistakes to avoid.
Model Context Protocol (MCP) lets you connect Claude to external tools, databases, and services. This guide covers installing MCP servers, creating your own, and getting Claude to use tools reliably.
Claude Haiku, Sonnet, and Opus have different capabilities, speeds, and costs. This guide helps you pick the right model for coding, writing, analysis, and production applications.
Perplexity is more than a search engine — with the right techniques, it's a powerful research assistant. Learn how to use follow-up questions, Spaces, source filtering, and other features for serious research.
Claude Projects let you give Claude persistent context, custom instructions, and uploaded knowledge. Learn how to set them up effectively for recurring work, research, and team use.
Claude API bills can grow quickly. This guide covers prompt caching, model selection, context optimization, and other proven techniques to cut your Claude API costs by 50-80% without sacrificing quality.
Learn the modern indie developer workflow: use v0 to generate UI components, Cursor to implement backend logic and connect everything, and ship a working SaaS in days instead of weeks.
A practical guide to getting the most out of Cursor's agentic coding features — including common pitfalls and how to avoid them.
Cursor's built-in Claude access is rate-limited. Learn how to connect Cursor to your own Anthropic API key for unlimited Claude access — and understand the cost tradeoffs.
Never used Claude Code before? This step-by-step guide covers installation, your first session, the most useful commands, and practical tips for getting the most out of Anthropic's terminal AI.
Step-by-step guide to using the Anthropic Claude API with Python. Covers installation, authentication, basic messages, streaming, tool use, and production patterns.
Master Cursor Rules to customize AI behavior for your project. Covers .cursorrules files, project-level rules, global rules, and best practices for different tech stacks.
A practical guide to using AI tools for email marketing. Covers subject line writing, sequence automation, segmentation strategies, and A/B testing with AI.
Build a production-ready AI chatbot with Next.js App Router, the Vercel AI SDK, and Claude. Includes streaming, conversation history, and deployment.
Master Midjourney V7's new features: improved prompt adherence, character references, style references, and the new parameters. Get better images with less iteration.
Build a sustainable AI-powered social media workflow. Covers content strategy, post writing, repurposing long-form content, and maintaining authentic voice.
Build AI assistants with memory, file search, and code execution using the OpenAI Assistants API. Covers Threads, Runs, tool use, and production patterns.
Use Claude, ChatGPT, and specialized AI tools to find keyword opportunities, understand search intent, and build topic clusters faster than traditional tools alone.
Stop wasting time with vague prompts. This framework covers the seven elements of effective AI prompts with real examples for writing, coding, and analysis.
Use AI to write better YouTube scripts faster. Covers hook writing, scripting the body, adding personality, and maintaining your authentic voice while using AI assistance.
Learn to build multi-agent AI systems using Claude. Covers orchestrator-worker patterns, agent communication, state management, and production considerations.
Use Claude and ChatGPT to write a comprehensive business plan faster. Covers market analysis, financial projections, competitive analysis, and common pitfalls.
Stop manually taking meeting notes. This guide covers AI tools for transcription, summary generation, action item extraction, and follow-up email automation.
A practical guide to evaluating AI model performance for production applications. Covers evaluation frameworks, benchmark interpretation, and building custom evals.
Use AI tools to research competitors, synthesize intelligence, and build competitive frameworks faster. Covers research workflows, analysis templates, and tracking ongoing changes.
Implement streaming AI responses for better UX. Covers Server-Sent Events, WebSockets, streaming with Claude and OpenAI, and frontend handling with React.
Use Claude, ChatGPT's Code Interpreter, and Python AI libraries to analyze data faster. Covers data cleaning, EDA, visualization, and interpretation prompts.
Build a custom GPT for your specific use case. Covers system prompt writing, knowledge files, action configuration, and publishing your GPT.
Set up Stable Diffusion on your Mac or Windows PC with AUTOMATIC1111 or ComfyUI. Covers installation, model downloads, basic generation, and optimization tips.
Use Claude, ChatGPT, and Cursor effectively for debugging. Learn how to provide the right context, interpret AI explanations, and avoid common debugging mistakes.
Write compelling AI-assisted product descriptions for e-commerce. Covers prompt templates for different product types, SEO optimization, and A/B testing approaches.
Use Claude, ChatGPT, and other AI tools to research companies, practice answers, prepare questions, and negotiate offers. A complete interview prep system.
Build AI-powered automations using Zapier, Make, and n8n. Connect ChatGPT and Claude to your existing tools for email processing, content generation, and data workflows.
Complete guide to building with Claude API in JavaScript. Covers the Anthropic SDK, streaming, tool use, React integration, and Next.js patterns with real code examples.
Build production-ready AI agents with Claude. Covers agentic loop architecture, tool definition, error handling, and real-world agent patterns with Python code.
Use Claude and ChatGPT to write, optimize, and tailor your resume for specific jobs. Covers ATS optimization, bullet point writing, and customization prompts.
Build a production RAG system from scratch. Covers document chunking, embedding models, vector databases, retrieval strategies, and integration with Claude or GPT-4.
Get more from Perplexity AI with better queries, source filtering, Spaces, and API integration. Covers Pro features, comparison with Google, and research workflows.
Fine-tune language models for your use case. Covers dataset preparation, OpenAI fine-tuning API, LoRA with local models, evaluation, and when fine-tuning is worth it.
Use AI to scale your SEO efforts — from keyword research and content briefs to technical audits and link building outreach. Practical prompts for every stage of the SEO workflow.
Set up GitHub Copilot in VS Code and get the most from AI code completions, Copilot Chat, inline suggestions, and workspace features. Includes keyboard shortcuts and workflow tips.
Deploy AI in your customer service stack — from chatbot deflection to agent-assist tools. Covers implementation strategies, system prompt design, and measuring ROI.
Use AI to generate content ideas, build editorial calendars, and maintain publishing consistency. Includes prompts for topic clusters, seasonal planning, and multi-channel coordination.
Apply AI to financial analysis — from building financial models and analyzing earnings reports to generating insights from spreadsheet data. Practical prompts and Python examples.
Get the most from NotebookLM — Google's AI-powered research notebook. Covers uploading sources, asking questions, generating summaries, and the Audio Overview podcast feature.
Use AI to create compelling presentations from scratch. Covers Gamma, Beautiful.ai, PowerPoint Copilot, and using Claude to write outlines, scripts, and speaker notes.
Create and edit videos with Runway ML. Covers Gen-3 Alpha video generation, image-to-video, video inpainting, background removal, and professional post-production workflows.
Use AI models for nuanced translation that preserves tone, context, and cultural meaning. Covers Claude, DeepL, and specialized prompts for marketing, legal, and technical content.
Practical guide to AI for architects and interior designers — design briefs, spec writing, code research, client presentations, and project documentation.
Practical guide to AI in financial services — client communications, investment analysis, regulatory compliance, risk assessment, and financial planning workflows.
Practical guide to AI in healthcare — clinical documentation, prior authorization, patient communication, staff scheduling, and revenue cycle management.
Practical guide to AI in legal practice — legal research, contract drafting, litigation support, client communication, and compliance work for attorneys.
Practical guide to AI in logistics — route planning, carrier negotiation, freight auditing, warehouse operations, and last-mile delivery optimization.
Practical guide to AI in manufacturing — predictive maintenance, quality inspection, production planning, supplier management, and safety compliance.
Practical guide to AI in nonprofit fundraising — grant writing, donor stewardship, major gift cultivation, annual fund campaigns, and fundraising analytics.
Practical guide to AI in risk management — risk assessments, control frameworks, audit preparation, compliance monitoring, and incident response.
Practical guide to AI in talent management — performance reviews, career development plans, succession planning, compensation analysis, and employee engagement.
Practical guide to AI in customer success — health scoring, churn prediction, QBR preparation, expansion playbooks, and CS team efficiency.
Use AI to accelerate market research — from designing surveys and analyzing responses to building competitive landscapes and identifying market opportunities.
Practical guide to using AI for product launches — positioning, launch messaging, go-to-market strategy, PR outreach, and post-launch analysis.
Practical guide to AI-assisted technical writing — API documentation, user guides, README files, changelogs, and developer tutorials.
Practical guide to AI in corporate governance — board materials, fiduciary analysis, regulatory compliance, risk frameworks, and ESG reporting.
Practical guide to AI-powered sales forecasting — pipeline analysis, deal scoring, territory planning, quota setting, and revenue intelligence.
Practical guide to AI in supply chain management — demand forecasting, supplier risk, inventory optimization, logistics, and disruption response.
Use AI to write better blog posts in less time. Covers research workflows, outline generation, drafting strategies, editing prompts, and how to maintain your authentic voice.
Practical guide to using AI for financial due diligence — document analysis, financial model review, risk identification, and accelerating deal processes.
Practical guide to using AI for legal compliance — policy drafting, regulatory research, compliance training, audit preparation, and risk assessment.
Practical guide to using AI for investor relations — earnings scripts, shareholder letters, Q&A preparation, IR website content, and analyst communications.
Practical guide to using AI in PR — press releases, media pitches, crisis communications, spokesperson prep, and media monitoring.
Practical guide to using AI for learning and development — course design, content creation, skills assessment, learner personalization, and training evaluation.
Practical guide to using AI for brand building — brand strategy, messaging, visual identity, brand voice, and maintaining consistency across channels.
Use AI to build and work your lead generation funnel — from finding prospects and writing personalized outreach to qualifying leads and automating nurture sequences.
Practical guide to using AI for performance management — writing reviews, setting OKRs, performance improvement plans, calibration, and continuous feedback.
Practical guide to using AI for startup fundraising — pitch deck writing, investor outreach, financial modeling, due diligence prep, and navigating term sheets.
Integrate AI into your code review workflow. Use Claude, Copilot Chat, and automated tools to catch bugs, security vulnerabilities, and performance issues before they ship.
Complete guide to using AI in content strategy — topic research, content audit, editorial calendar creation, competitor analysis, and measuring content performance.
Use AI ethically and effectively in academic research. Covers literature review acceleration, research design, paper writing, citation management, and AI tools for researchers.
Practical guide to using AI tools for competitive intelligence — monitoring competitors, analyzing pricing, tracking product changes, and building a CI system.
Deploy a production-ready LLM API with FastAPI and Docker. Covers rate limiting, streaming, authentication, cost tracking, and scaling patterns for AI applications.
Practical guide to using AI in UX research — interview analysis, survey design, usability testing, persona creation, and synthesizing research into actionable insights.
Complete tutorial for building production AI agents in Python — tool use, memory, multi-step reasoning, error handling, and deploying Claude-powered agents.
Accelerate language learning with AI conversation partners, grammar correction, vocabulary building, and personalized practice. Works for any language, any level.
How to use AI tools to review contracts faster — identifying key clauses, red flags, risky terms, and when to escalate to a lawyer. With real prompt templates.
Use AI to write project plans, status reports, risk registers, and stakeholder communications. Practical prompts for PMs to save hours every week.
Practical guide to using AI in e-commerce — product descriptions, customer service automation, pricing optimization, personalization, and demand forecasting.
Clone your voice with AI for content creation, accessibility, and automation. Covers ElevenLabs Instant Voice Cloning, professional voice libraries, and responsible use guidelines.
Practical guide to using AI in DevOps workflows — infrastructure as code generation, CI/CD pipeline creation, log analysis, incident response, and monitoring.
Create music with AI — from generating full tracks with Suno and Udio to using AI tools inside your DAW for stems, mastering, and sound design.
Practical guide to using AI tools for cybersecurity — threat detection, log analysis, vulnerability assessment, incident response, and security automation.
Use AI to write job descriptions, screen candidates, prepare structured interviews, and improve diversity in hiring. Practical prompts for HR teams and hiring managers.
Write cold emails that get replies using AI. Covers personalization at scale, multi-step sequences, subject line testing, and the prompts that produce best results.
Edit videos faster with AI tools. Covers Descript for transcript-based editing, automatic captions, B-roll generation, background removal, and AI voice correction.
Create high-converting social ads with AI. Covers writing ad copy for Facebook, Instagram, and LinkedIn, generating ad creatives, and using AI to analyze performance.
Apply AI across your e-commerce business — from product catalog management and description writing to customer service automation and personalized recommendations.
Create logos and brand identity assets with AI. Covers Midjourney techniques for logo concepts, Adobe Firefly vector output, Looka, and when to hire a designer.
Use AI throughout the podcast production workflow — from episode planning and research to editing, show notes, transcripts, and repurposing content across channels.
Complete guide to AI-assisted 3D modeling — from text-to-3D tools like Meshy and Shap-E, to using AI for texturing, optimization, and workflow automation in Blender.
Complete guide to AI-assisted customer research — from designing interview guides and analyzing transcripts to synthesizing insights and building customer personas with Claude and GPT-4.
Step-by-step guide to using AI for grant research, proposal drafting, needs statements, and budget narratives. Includes prompts for nonprofits, researchers, and small businesses.
AI tools and prompts for real estate professionals — property analysis, listing descriptions, market research, investment analysis, and client communication.
Practical guide to using AI for legal document drafting, contract review, and legal research — including when AI is appropriate, its limitations, and prompts that actually work.
Step-by-step guide to building real applications using AI — from Lovable and Bolt.new to Cursor. Covers web apps, mobile apps, and automation without deep coding knowledge.
Complete guide to using AI for pricing analysis, competitive pricing research, pricing model selection, and communicating price changes — with prompts for SaaS, e-commerce, and services.
Practical guide to using AI for budgeting, investment research, debt payoff planning, and financial goal setting — with prompts for Claude and ChatGPT and important disclaimers.
Complete guide to AI-powered sales — prospecting, personalized outreach, call prep, objection handling, proposal writing, and forecasting.
Build a Retrieval-Augmented Generation (RAG) application from scratch — vector databases, embeddings, chunking strategies, and production considerations.
Use AI to streamline your recruiting process — job descriptions, candidate screening, interview questions, offer letters, and bias reduction.
Step-by-step tutorial for using the Anthropic Claude API — setup, basic calls, system prompts, multi-turn conversations, tool use, and streaming.
AI tools and prompts for product managers — PRDs, user story generation, prioritization frameworks, stakeholder communication, and roadmap planning.
50+ proven AI prompts for email marketing — subject lines, campaign sequences, re-engagement emails, newsletter content, and conversion optimization.
Guide for physicians and clinicians on using AI tools for clinical notes, SOAP notes, prior authorizations, and documentation without compromising patient privacy.
Build a scalable AI content creation system — from brief to published article. Includes workflow automation, quality control, and tools for teams of any size.
Use AI to build financial models faster — Excel formulas, DCF models, scenario analysis, and 3-statement models. Prompts and workflows for finance professionals.
Step-by-step guide to building a customer-facing AI chatbot using your documentation, FAQs, and knowledge base. Covers RAG, tools, and implementation options.
Step-by-step guide for teachers on using AI to plan lessons, differentiate instruction, create assessments, and save 5-10 hours per week on planning work.