Insights & Intelligence.
The manual for modern digital acceleration. Exploring the intersection of high-fidelity engineering and synthetic intelligence.
LinkedIn Ads Are 3x More Expensive — Here's When the Premium Actually Pays Off
LinkedIn Ads cost 3-5x more than Meta, but for specific B2B goals the lead quality gap more than justifies it. We manage campaigns across both platforms — here's the decision framework we use to allocate budget.
Measure What Matters: The Ultimate AI Chatbot Quality Scorecard
A 5-dimension scorecard to evaluate your AI chatbot's real quality, with industry benchmarks and data from real implementations across Latin America.
Web Codecs API: Browser-Native Video Processing for Thumbnails and Previews in 2026
Web Codecs reached production maturity — and WordPress 7.1 just shipped client-side media processing as a core feature. Here's how we replaced a server-side thumbnail generation pipeline with 100% browser-based processing, with real performance metrics and a decision framework.
How Generative Engine Optimization Uses MCP (Model Context Protocol)
MCP is the protocol that powers how AI search engines access, retrieve, and cite your content. Here is what GEO looks like at the infrastructure layer, and what it means for your content strategy.
Your Event Match Quality Is Below 7.0? Here's How Meta Silently Punishes Your Ad Performance
Meta requires an Event Match Quality score above 70% for reliable attribution, yet most advertisers never check theirs. After auditing 15+ client accounts, we found EMQ below 6.0 is the #1 hidden cause of unstable campaigns — worse than bad creative. Here's how EMQ actually works, the benchmarks that matter, and how to fix it with Conversions API Gateway.
The All-AI-Agent Myth: Why Deterministic Automation Still Wins 80% of the Time
Gartner places AI Agents at the Peak of Inflated Expectations: only 17% of organizations have deployed them, and 40% of projects are predicted to fail. Here's why deterministic automation with n8n and Make is still the right call for most business processes.
The Platform Catches Up: What We Learned Replacing Framer Motion With Native Browser APIs
The View Transitions API, Speculation Rules API, and CSS scroll-driven animations are mature enough in 2026 to replace 80% of what teams use JS animation libraries for. We migrated a media portfolio site from Framer Motion to native APIs — here's what we gained, what we lost, and the decision framework we'd use again.
The AI Search Trust Gap: Why Your GEO Strategy Needs to Survive the Verification Click
Google AI Mode just hit 1B users while YouGov reports only 28% of Americans trust AI search. The gap between adoption and trust is your biggest GEO opportunity — but only if you build content that survives the click AFTER the citation.
Headless CMS with Astro? First Ask If You Actually Need One
Astro ships with Content Collections — type-safe, zero-dependency content management built into the framework. You don't need a headless CMS for most projects. But when you do, picking the wrong content backend costs you time, money, and editorial velocity. This article documents the decision framework we use at Mintec to know when to add a headless CMS and which one fits each project profile.
Meta Rewired Conversion Attribution in March 2026 — How to Read Click-Through vs Engage-Through
Since March 2026, Meta redefined what counts as a click in your ads. Only link clicks qualify as click-through attribution now. Likes, shares, saves, and video views moved to a new category called engage-through. After managing client campaigns through the transition, here's what the data shows, how to read your dashboard without panicking, and when to keep engage-through on.
WhatsApp + CRM in 2026: 5 Platforms Tested for the Latin American Market
A no-fluff comparison of 5 CRMs based on WhatsApp Business API integration quality, AI capabilities, automation, and real pricing for Latin American SMBs. Includes Mintec implementation case studies.
Why Your n8n Lead Generation Agent Isn't Booking Meetings (And How to Fix It)
Building an AI lead qualification agent with n8n is easy. Making it actually book meetings is where most fail. We break down the three mistakes we see in client implementations and a 3-stage framework that turns a technically sound pipeline into a revenue engine.