Automation Year in Review: The Shift to "Vibe Ops"
2025 has been a strong and eventful year for the practical application of LLMs. While model capabilities grew, the most interesting developments weren’t just about raw intelligence, but how we harness it to do actual work.
Where U.K. Businesses Are Really Seeing Value From AI
U.K. enterprises are getting real ROI from AI agents in high-volume workflows. Here’s how to scale means-to-outcomes with AI automation tools.
How to Build Midpoints: A Practical Guide to AI Automation With AI Agents
Learn how to build Midpoints end to end: define triggers, connect tools, use AI agents and LLMs, test, deploy, monitor, and ship fixes fast.
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Midpoint Turns Complex Wiring Into Intent
In 2026, the best AI workflow automation tools are defined by whether they can understand intent, build workflows on your behalf, and keep them running without constant manual debugging. This post breaks down the leading platforms and explains why Midpoint stands out by letting you describe the workflow instead of building it yourself.
Zapier Works Until It Doesn’t: The Reliability Gap Nobody Talks About
Zapier can be a fast start for workflow automation, but many teams hit a reliability ceiling: silent failures, brittle integrations, and a lack of monitoring. Here’s what breaks in real life, and why Midpoint’s prompt-to-production, managed automation approach keeps workflows running.
Generative vs. Predictive AI: Stop Confusing Them
The tech industry is drowning in jargon, and confusing “Generative” with “Predictive” AI is leading to expensive mistakes. This post breaks down the real difference, why the “Golden Hammer” bias shows up, and how choosing the right architecture is where the leverage actually lives.