
AI & Automation
MCP vs API integration: when to use the Model Context Protocol
MCP and direct API calls both connect AI models to external tools. They solve different problems. Here is a technical decision framework for choosing the right one.
How AI and automation are applied to real business problems: agents, LLMs, RPA, workflow automation, and the ROI analysis that helps you decide where to start.
Recent work
Voice AI · Research
6× deeper insights
Text-based interviews converted to automated phone calls
AI Automation · Ops
20k+ txns day one
Manual invoice OCR across 40+ gas stations
Loyalty · Retail
1,062 users in 4 weeks
SuperValu & Centra loyalty platform with receipt validation
SaaS · Logistics
2,000+ shipments yr 1
Multi-carrier shipping hub for Indonesian eCommerce
Other Blog Categories
Step-by-step guides on how to design, build, and launch software products: from architecture decisions and tech stack selection to real cost and timeline breakdowns.
Sector-specific guides on AI adoption, document automation, operational improvements, and software decisions, broken down by the workflows, regulations, and data that define each industry.
Vetted vendor shortlists, cost breakdowns, and decision frameworks for leaders scoping software projects. What to ask, what to budget, and how to avoid the mistakes that add months.
Loyalty program design, POS integration, retention mechanics, and ROI analysis across industries. What actually keeps customers coming back, and how to build the system behind it.
Building and scaling SaaS products: from MVP scoping and architecture to pricing models, product lifecycle decisions, and what separates SaaS companies that grow from those that stall.