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 building real products for real businesses.
ChatGPT, Perplexity, and Google’s own AI Overviews are replacing traditional search for a growing number of buying decisions. If your website can’t be read by AI, you’re invisible to the people who matter most. Here’s what’s changing and what to do about it.
A practitioner breakdown of what companies are really building with AI agents in 2026: customer support bots, lead qualification agents, document processors, and fully autonomous workflows. What works, what fails, and what it actually costs.
A practical guide to voice AI in business: where voice interfaces genuinely outperform screens, where they fail miserably, the real tech stack behind production voice agents, and how to evaluate whether your product needs conversational voice.
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.