decivo Blog
Practical guides on MVP development, prototyping and data-driven product decisions.
In 2026 no serious VC invests in thin AI wrappers. The 3-Tier Moat Architecture, the Sherlock Risk Formula, a wrapper-vs-moat comparison, and the tech due diligence cheat sheet with 10 questions.
Clickable Figma prototype or working code? Risk-based matrix, five anti-patterns, and clear guidance on which format answers which question — from a studio that ships both.
Vibe-code MVP works but the code is chaos? 4-stage maturity scale, Stack of Truth, Clarity Retrofit workflow with prompts, before/after code, and 3 paths to production-grade software.
Four categories of alternatives — from Bolt.new and Cursor to a Lean Software Studio. With a decision guide, real costs, and the honest question: tool problem or skill problem?
The Clarity-before-Code Sprint: Five phases from problem to live product. With Claude Code, Cursor, Figma & Supabase — prompt vault, GDPR checklist, and realistic cost table included.
Validation in 6 stages: desk research to MVP, hard benchmarks, The Mom Test, decision flowchart, and 2026 AI tools.
Platforms, real costs, red flags, and the comparison: agency vs. freelancer vs. boutique vs. AI-DIY. Honest, no sales pitch.
No-code, AI app builders, Claude Code & Cursor — all MVP tools compared. Costs, workflows & decision guide.
MVP explained: What a Minimum Viable Product really is, why it doesn't mean 'half-finished', and how to build your own MVP in 6 steps — with real examples from Dropbox to N26.