Posts for founders, product leaders, and engineering teams shipping AI systems, SaaS products, and modern delivery workflows.
Buyer guide
The best model does not depend on the vendor label. It depends on how much context you have, how much technical risk exists, and who must own the outcome.
Latest posts
A guide for estimating real cost: seniority, coordination, QA, discovery, and change cost, not only hourly rate.
How to use an AI software factory to validate, build, and operate SaaS products with less internal team and more evidence.
A checklist for evaluating partners by judgment, process, security, ownership, and ability to learn with your business.
A practical way to estimate an MVP by phases: discovery, build, and validation, with criteria to avoid features that do not change the decision.
What to review in architecture, security, data, debt, observability, and delivery before buying, investing in, or scaling a B2B SaaS.
Five stages for moving from idea to operable agent: use case, data, permissions, evaluation, deployment, and continuous improvement.
How to split SaaS modernization by routes, contracts, data, and operations to reduce risk without freezing sales or delivery.
Model Context Protocol went from experiment to de-facto standard in twelve months. Why Gartner expects 40% of enterprise apps to use it by end of 2026.
Per-seat is dying, vertical SaaS is growing 2-3x faster than horizontal, and agents are changing who pays for what. An executive recap of the new playbook.
Authors
Series
A series on agents, copilots, and guardrails for bringing AI into real work without breaking trust or operations.
Scope, commercial signal, and product decisions for teams that need to sell before they overbuild.
Comparisons, costs, due diligence, and criteria for choosing a software partner without buying only capacity.
Roadmaps, agents, MVPs, and technical decisions for turning AI into operable and sellable product.