How to Build and Ship an MVP in 2 Weeks Using Agentic AI Workflows
A practical 14-day playbook for shipping an MVP with agentic AI workflows—scope, orchestration, validation, and launch without burning your runway.
AI & Product Guides for Startups
64 guides for founders — AI & tools, product operating playbooks (Product Corner), and post-hype industry analysis (Post-AI). Browse by topic below.
AI & Tools · 30 guides
Agentic AI workflows, coding tools, and AI agent guides for startup founders.
Agentic AI & Product Strategy
Workflows, validation, fractional leadership, and PLG — for founders who need to move from idea to traction.
Fractional CTO in the Age of AI: When You Need One and What They Should Know About LLMs
When startups need a fractional CTO for AI-era architecture, LLM governance, and agent strategy — and the LLM skills that separate real leadership from buzzwords.
AI Agent Orchestration for Startups: A Practical Guide Without the Hype
How startups orchestrate AI agents with clear roles, guardrails, and human checkpoints—without building fragile automation that breaks in production.
How AI-Assisted Product Discovery Cuts Your Time-to-Market by 60%
Use AI-assisted interviews, synthesis, and experiment design to compress product discovery cycles and reach market validation up to 60% faster.
Building a Product-Led Growth Engine With AI Agents: Step-by-Step
A step-by-step guide to building a product-led growth engine where AI agents drive onboarding, activation, expansion, and retention loops—not just support chat.
The $0 Tech Stack: How Startups Are Using AI to Replace Early Engineering Hires
How early-stage startups build production-ready products on a near-zero-dollar stack powered by AI coding agents, free tiers, and no-code tools.
Agentic AI for Non-Technical Founders: What You Can Actually Ship in 30 Days
A practical 30-day roadmap for non-technical founders using agentic AI tools to ship real products — not demos — without hiring engineers first.
From Idea to Working Prototype: Using Claude/GPT Agents to Replace a Sprint
Learn how product teams use Claude and GPT agents inside agentic IDEs to compress a two-week engineering sprint into days — with a repeatable workflow.
How to Validate a SaaS Idea With AI Before Writing a Single Line of Code
Use AI-powered research, landing page tests, and customer discovery to validate your SaaS idea before investing in development — a step-by-step playbook.
AI-Powered Roadmapping: How Fractional CPOs Are Using LLMs to Run Product Strategy
Fractional CPOs are using LLMs to accelerate competitive analysis, roadmap prioritization, and stakeholder communication — without replacing strategic judgment.
Coding Tools & Tech Stacks
Lovable, Cursor, v0, and full-stack choices for shipping MVPs with AI-native tooling.
Building an MVP with Lovable: A Founder's Playbook
A practical founder playbook for shipping a SaaS MVP with Lovable — scoping, prompts, Supabase, deployment, and when to graduate to a full codebase.
Cursor for Startups: How to Ship Production Code Faster
How startup founders and lean engineering teams use Cursor to ship production-quality code faster — workflows, rules, context, and when to pair it with AI app builders.
Lovable vs Bolt vs v0: Which AI Builder Fits Your MVP?
Compare Lovable, Bolt.new, and v0 by Vercel for startup MVPs — output quality, stack control, Supabase integration, pricing, and which tool fits each founder profile.
The Next.js + Supabase Stack for AI-Built SaaS MVPs
Why Next.js and Supabase became the default stack for AI-built SaaS MVPs — architecture, auth, row-level security, deployment on Vercel, and scaling paths for founders.
Replit Agent vs Cursor: When to Generate vs When to Code
Replit Agent builds whole apps autonomously; Cursor assists inside a real IDE. Learn when each fits your MVP stage, team skills, and production needs.
From Design to Deploy with v0 and shadcn/ui
Learn how to go from UI concept to production-ready React components using Vercel v0 and shadcn/ui. A practical guide for startup founders shipping MVPs fast.
Windsurf and GitHub Copilot: AI IDEs Beyond Cursor
Compare Windsurf, GitHub Copilot, and Cursor for startup MVP development. Features, pricing, agent modes, and when to pick each AI-powered IDE.
Building Mobile MVPs with FlutterFlow and AI Assistants
Ship iOS and Android MVPs fast with FlutterFlow plus AI coding assistants. Workflow, limitations, and when to add custom Flutter code.
The 2026 Agentic MVP Tech Stack: Full Breakdown
The complete 2026 tech stack for agentic MVP development: AI IDEs, hosting, databases, auth, payments, and observability for startup founders.
When to Graduate from Lovable to a Real Codebase
Know when to move from Lovable to a developer-owned codebase. Migration signals, export strategies, and how to transition without losing momentum.
AI Agent Guides
Deep dives on MCP, agent security, orchestration frameworks, context engineering, and the strategies that separate working AI from demo-ware.
GenAI Divide: Why 95% of AI Pilots Fail
MIT NANDA research found 95% of organisations saw no measurable GenAI return. Learn why integration and ownership beat demos, and what founders should do instead.
AI Agent Security: Prompt Injection Risks
Prompt injection is the #1 risk in the OWASP LLM Top 10. Learn threat models, mitigations, and what founders must ship before granting tool access.
MCP: The Integration Standard Startups Need
Model Context Protocol hit 97M SDK downloads and Linux Foundation governance in 2025. Why MCP beats bespoke agent integrations for startup velocity today.
Context Engineering vs Prompt Engineering
Context engineering is replacing prompt tinkering; a DataHub survey found 82% of IT and data leaders say prompt-only approaches fall short. A founder guide to what ships.
Multi-Agent Frameworks Compared (2026)
LangGraph, CrewAI, AutoGen, and custom orchestration: many production teams end up rolling their own. Compare frameworks for startup constraints, not GitHub stars.
AI Agent Evaluation & Observability
Single-turn benchmarks miss multi-turn agent failures. Learn eval harnesses, trace observability, and production gates startups need before scaling autonomy.
Computer-Use & Browser Agents (2026)
Browser agents hit 90%+ on benchmarks like WebVoyager—but task fit matters more than hype. How founders should deploy computer-use safely and economically.
Vertical AI Agents vs Horizontal SaaS
YC reports 60%+ of recent batches are AI companies—many selling outcomes via vertical agents, not seats. How service-as-software reshapes startup strategy.
Agentic Commerce & AI Shopping Agents
ACP and UCP protocols race to standardize AI shopping agents. McKinsey projects $3–5T in agentic commerce impact by 2030—what founders should build now.
Spec-Driven Development for Startups
Spec-driven development turns PRDs into executable agent workflows—but it is overkill for pre-seed vibe-coded MVPs. When specs beat speed, and when they do not.
Product Corner · 20 guides
Zero-to-one playbooks on validation, growth, conversion, retention, and scaling your product team.
Validate
Measure PMF, run JTBD discovery, and nail positioning before you scale spend.
Product-Market Fit Measurement: Metrics That Actually Predict SaaS Survival
Learn how to measure product-market fit with Sean Ellis scores, cohort retention, and ICP-specific signals—before you scale paid growth or hire sales.
Jobs-to-be-Done Customer Discovery: Interview Frameworks That Reveal Real Demand
Run JTBD interviews that uncover the progress buyers seek—so you build wedges that retain instead of feature lists that churn.
SaaS Positioning: How to Be Obviously Awesome to Your ICP
Use April Dunford-style positioning to make your category, differentiation, and proof obvious to the right buyers—before you scale spend.
Grow
Channels, content, paid acquisition, referrals, community, and launch playbooks that move CAC.
SaaS Growth Hacking Playbook 2026: Experiments That Move CAC
A 2026 growth hacking playbook for SaaS—prioritize experiments by ICP, payback period, and retention impact instead of vanity spikes.
SEO & Content Marketing for SaaS in the AI Search Era
Win SaaS SEO when AI Overviews and answer engines summarize results—structure content for citations, ICP intent, and conversion.
Paid Acquisition for B2B SaaS: 2026 Benchmarks and Guardrails
B2B SaaS paid acquisition benchmarks for 2026—CAC payback, channel mix, and when to scale spend without killing margin.
Referral and Virality Loops for SaaS: Design for Repeatable Pull
Design SaaS referral and virality loops that map to customer jobs—so invites compound retention instead of spam.
Community-Led Growth for SaaS: From Audience to Pipeline
Build SaaS community-led growth that feeds product feedback, trust, and pipeline—without becoming a Slack ghost town.
Product Hunt Launch Playbook: Spike Without Fool's Gold
Launch on Product Hunt without fooling yourself—capture spike traffic, convert believers, and measure real retention after the badge fades.
Convert & Retain
Pricing, onboarding, churn, expansion revenue, and when to add sales to PLG.
SaaS Pricing and Packaging Models That Protect NRR
Choose SaaS pricing and packaging—seats, usage, tiers—that match value delivery and protect net revenue retention.
SaaS Onboarding and Activation: Compress Time-to-Value
Design SaaS onboarding that delivers first value in minutes—not days—so trials convert and paid cohorts retain.
Reducing Churn in SaaS: Retention Levers That Move NRR
Reduce SaaS churn with leading indicators, save plays, and product fixes—before logo churn shows up in board decks.
Expansion Revenue and NRR: Land-and-Expand That Compounds
Grow net revenue retention with land-and-expand plays—usage growth, seats, upsell tiers—timed to customer job milestones.
PLG vs Sales-Led: When to Build a Hybrid GTM Motion
Choose PLG, sales-led, or hybrid GTM based on ACV, complexity, and buyer behavior—not Twitter doctrine.
Scale the Team
Metrics discipline, OKRs, hiring arcs from 10 to 50, and founder-led sales handoff.
SaaS Metrics: CAC, LTV, and NRR for Operator-Grade Decisions
Master SaaS unit economics—CAC, LTV, payback, NRR—so you scale spend and headcount with eyes open.
North Star Metric and OKRs for SaaS Teams That Ship
Align SaaS teams with one north star metric and quarterly OKRs that connect daily work to retention and revenue.
First 10 Hires for Startup Teams: Sequence and Scorecards
Hire your first 10 startup employees in the right order—generalists early, specialists when metrics demand, with clear scorecards.
Scaling 10 to 20: First Managers and Delegation Without Chaos
Promote or hire first managers as you scale from 10 to 20 people—without losing speed or inventing bureaucracy.
Scaling 20 to 50: Org Design for SaaS Without Silos
Design org structure from 20 to 50 people—functions, pods, and handoffs—so SaaS teams stay fast and accountable.
Founder-Led Sales Handoff: Scale Revenue Without Losing the Plot
Transition from founder-led sales to a repeatable team motion—playbooks, hiring, and handoffs that preserve win rates.
Post-AI · 14 guides
Industry economics and problem-first decisions after the AI hype cycle.
Industry Economics & Problem-First Decisions
Bear and bull cases on AI industry dynamics — valuations, infrastructure costs, vendor risk, and what survives after the hype.
Ed Zitron and the Case Against the AI Bubble: Five Messages, a Track Record, a Measured Verdict
Ed Zitron's five core claims on the AI bubble, his career, four months of appearances, and a fair test of his dot-com and 2008 comparisons against the evidence.
Proton's AI Reckoning: Is There Still IT for Engineers? Yes, With a Different Job
What the Proton AI scandal shows: speed without verification fails. You still need to be an engineer, but the job drifts toward tech product management.
AI Predictions for 2027: A Skeptic's Scorecard (Sexbots and Super Intelligence Included)
What forecasters really say about 2027, how their own timelines slipped, plus ten dated, falsifiable predictions on SI, IPOs, agent liability and the sexbot roadmap.
The AI Reality Check: Four Scandals, 60,000 Exit Offers, and a $2 Trillion IPO
Four AI scandals, Microsoft's 60,000 exit offers, and Anthropic's IPO prep. A sourced, sceptical read of late-October 2026, plus what founders should do with it.
The AI Bubble Skeptic Case: Sourced Bear Arguments You Should Not Ignore
A sourced bear case on AI valuations—capEx cycles, revenue quality, and vendor concentration—so founders plan for downside, not hype.
OpenAI Business Model Explained: APIs, ChatGPT, and Enterprise
How OpenAI makes money—API usage, ChatGPT subscriptions, enterprise deals—and what it means for your vendor strategy.
Anthropic and Claude Business Model Explained for Founders
Understand Anthropic's Claude API, Team/Enterprise plans, and safety positioning—and when it fits your SaaS stack.
AI Circular Financing: Nvidia, OpenAI, and Ecosystem Risk
Unpack AI circular financing headlines—investments, cloud credits, and supply chains—and what concentration means for startups.
AI Data Center Electricity Costs: Why Infra Bills Matter for Startups
AI data center power costs are rising—understand why electricity and capEx hit token pricing and cloud bills you pay.
AI Cleanup After Vibe Coding: Technical Debt Founders Must Pay
Shipped fast with AI vibe coding? Here is how to pay down technical debt before production incidents and fundraising diligence kill velocity.
Locally Hosted Open-Weight Models in 2026: When Self-Hosting Wins
Open-weight models in 2026—when local hosting beats APIs on cost, privacy, and control, and when it does not.
AI Price War and Token Costs in 2026: Margin Implications
Track the 2026 AI token price war—model vendor cuts, caching, and routing—and protect SaaS gross margin.
AI-Native Startups: Bubble Survival Playbook for 2026
Survive AI hype cycles as an AI-native startup—runway, margin, differentiation, and honest metrics when capital tightens.
Durable AI Value vs Speculation: What Survives After the Hype
Separate durable AI value—workflow ownership, data, margin—from speculation so you build what survives hype cycles.
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