Insights & Intelligence.
The manual for modern digital acceleration. Exploring the intersection of high-fidelity engineering and synthetic intelligence.
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.
Meta Customer Lifecycle Strategy: How to Use Pure Acquisition in Your Campaigns (And Why It's Not Magic)
Meta's new Customer Lifecycle Strategy setting lets you exclude existing buyers at the ad set level and force net-new customer acquisition. We tested CLS with client accounts in LATAM — here's what it actually does, how to set it up, and why some media buyers say it's overhyped.
Keyword Rankings Are Meaningless in 2026. Here's What to Track Instead.
Rankings are more volatile than ever. Google's Information Gain update, AI Mode, and the citation gap have broken the link between keyword position and real business value. Here is Mintec's alternative framework — built from real client data — for measuring what actually drives traffic and conversions in an AI-first search world.
Mux vs Cloudflare Stream vs Self-Hosted: Choosing Your Video Stack in 2026
A practical comparison of video hosting platforms for web developers in 2026 — Mux, Cloudflare Stream, Bunny Stream, and self-hosted options, with real pricing, integration patterns, and a decision framework for each scale.
AI Prospecting Agents in 2026: Build with n8n vs. Buy Specialized Tools
A practical comparison of two paths to AI-powered lead prospecting: building custom agents with n8n vs. subscribing to tools like Clay, Apollo, or Sales Navigator. Real costs, tradeoffs, and what we learned implementing both approaches for clients.
Multi-Source Content Layers in Astro 7: Unifying Headless CMS, Local Markdown, and AI-Generated Media
Most modern websites need more than one content source: a visual CMS for editors, version-controlled markdown for developers, and a media API for AI-generated assets. Here's how to use Astro 7's Content Layer to unify everything without sacrificing performance — with real implementation cases and a decision framework.
How to Rank in Google AI Overviews: The GEO Framework for AI Citation
Most 'GEO advice' tells you to optimize for AI search without explaining how AI Overviews actually decide what to cite. This framework — built from client work — covers the passage-level signals that get your content quoted inside Google's AI answers.
Meta Is Dumping 90% of Your Budget Into One Ad — How Andromeda Actually Decides and How to Fix It
If you check Meta Ads Manager and see a single image ad eating 80-90% of your daily spend while your new videos get zero traction, it's not a bug — it's Andromeda working exactly as designed. Here's why budget concentration happens under Meta's 2026 ad delivery system and how to force fairer distribution.
How to Embed AI-Generated Video Without Destroying Website Performance
Synthetic media is cheap to produce in 2026 but expensive to embed badly. This article classifies four video embedding strategies by video role, with real performance data and a decision framework for production teams serving AI-generated video on the web.
Which Finance Tasks to Automate with AI (and Which to Skip) — A Risk-Tiered Framework
A practical 3-tier framework for finance automation: safe tasks (invoice processing, bank reconciliation, expense management), supervised tasks (monthly close, tax prep), and what not to automate. Real client data, risk analysis, and tool stack costs.