Software decisions compound. A pricing model picked in week three of a SaaS launch sets the unit economics for years. A custom CRM that fits your sales motion saves a hire by month three. An AI layer scoped well in month one delivers measurable lift by quarter one. Three solid pieces from this archive should remove at least a week of guessing from the next decision in front of you.
Walk in mid-decision and walk out with a sharper view of it. Whether you are weighing build vs buy, picking a stack, scoping an AI layer that looked easy in the demo, redesigning a UX flow that loses users at step three, or deciding whether to keep patching a migration that quietly grew over months. The next decision should feel less guesswork-shaped.
Topics here range across AI implementation, SaaS strategy, custom CRM, HR tech, e-commerce, software engineering, data and analytics, design and UX, and domain-specific software for financial markets, TradingView, and real estate. Plus inside stories: short reads on what we learned shipping real products for real businesses.
The honest story of building the Entexis AI assistant: from a basic FAQ bot to a production agent with page awareness, guardrails, lead capture, and conversation intelligence. What worked, what failed, and what we would do differently.
We have been using AI tools for months: writing code, generating content, analysing data. Here is the honest truth about what AI can and cannot do, and why your next software project still needs a human team.
Hope that was helpful. Reach out anytime.