Practical decisions for AI and software
Technical guides to choose models, verify software and plan delivery.
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New comparisons, practical guides and engineering lessons.
AI & AgentsMCP vs RAG vs Agent Skills vs Custom GPTs
Not four answers to one question, but four layers: RAG for knowledge, MCP for connectivity, Skills for procedure, Custom GPTs as a packaged surface. A decision tree, and why you usually compose them.
Leadership & TeamsFractional CTPO vs CTO and CPO
When one combined product-and-technology lead can reduce handoffs, when to split the remit, and how to assess capacity, independence, decision rights, and continuity without a fixed team-size rule.
Product & MVPTechnical Due Diligence for AI MVPs Before Funding
A practical evidence-room checklist: evaluation design, serving configuration, task-level economics, privacy, security, data rights, and the artifacts a reviewer can test.
Delivery & QAThe Vibe-Code Production-Readiness Checklist
A scannable first-pass checklist for AI-assisted apps before real users touch them. Ten evidence areas, plus risk-based launch triage and the limits of a generic checklist.
Delivery & QAWhat It Costs to Make a Vibe-Coded App Production-Ready
Wavect planning ranges by product shape, the factors that change scope, what a bounded audit can establish, and how to compare hardening with replacement without pretending certainty.
Leadership & TeamsFractional CPO vs Senior PM: Define the Mandate
Compare decision rights, outcomes, availability, management duties, internal context and handover instead of choosing from a universal stage rule.
Leadership & TeamsWhen to Hire a Fractional CPO
Define the product-leadership gap, decision rights, cadence, internal owner, evidence and handover before choosing a fractional model.
Business & RegulationThe One-Page AI Policy for a DACH Company
A practical one-page AI policy baseline for a 5 to 50 person DACH company: approved tools, data rules, literacy, human review, disclosure, escalation, and one owner.
AI & AgentsHow to Cut LLM Token Costs in 2026
Per-token prices are only one part of an AI product’s cost. A measured playbook for caching, batching, routing, model selection, context reduction, and self-hosting decisions.
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