AI engineering,
written by builders.
Practical writing from the BrainBox Automations engineering team: patterns for building reliable AI agents and RAG systems, how we cut LLM costs with smart caching, lessons from shipping AI-native SaaS platforms and mobile apps, and honest post-mortems from real client projects. Every post is written by the engineers doing the work, focused on what actually ships to production rather than hype.
What you'll find here
AI agents & automation
Agent patterns that hold up in production.
Engineering deep dives
Architecture, retrieval, evaluation, and cost.
Case study breakdowns
Honest post-mortems from real client work.
49+
Projects shipped
35
In-house team
3x
Faster delivery
More articles
How We Built ScrollToll: Turning a Bold Idea Into a Real App
BrainBox built ScrollToll to help a generation beat doomscrolling and build healthier habits. Here's the story — and how we turn founders' ideas into real apps.
August 10, 2026 · 5 min readAI & LLM UpdatesAI Agents for Business in the USA & Europe (2026)
AI agents are reshaping how US and European businesses work. See what they are, real use cases, and why demand is surging across the USA, UK and Europe in 2026.
July 27, 2026 · 5 min readAI & LLM UpdatesCRM AI Automation: How to Do Hours of Work in Seconds
AI CRM automation turns hours of manual sales and admin work into seconds. See how it works, the tasks it handles, and why US and EU businesses are adopting it fast.
July 17, 2026 · 5 min readAI & LLM UpdatesTop AI Automation Companies in the USA (2026)
Looking for the top AI automation companies in the USA? Compare the leading AI automation firms of 2026, what each does best, and how to choose the right partner.
July 12, 2026 · 6 min readTopics we cover.
Our writing follows the work we do for clients, so the topics map closely to the services we ship every week.
AI agents & automation
How we design agents that complete multi-step work reliably, where they break in production, and how to tie every automation to a measurable outcome.
AI agents & automations →Engineering deep dives
Architecture, retrieval, evaluation, and cost: the trade-offs behind AI-native SaaS platforms and the patterns that survive real traffic.
AI-native SaaS platforms →Case study breakdowns
Honest post-mortems from client projects — what we shipped, what we would change, and the numbers that actually moved.
See our case studies →Get new articles the moment they go live.
Practical AI automation insights, engineering deep dives, and case study breakdowns from the team that ships them.