AI Engineering Blog — Brutanix Studios

The Journal

Notes from the build.

Field notes on shipping real AI — copilots, calling agents, and automation — from a studio that builds it in production. No fluff, just what works.

Inside HeyRik: Building a Voice AI Studio for Real Customer Calls

Featured

Product Case Study

Inside HeyRik: Building a Voice AI Studio for Real Customer Calls

How we shaped HeyRik into one voice AI studio for building, launching, and measuring lifelike phone agents — without stitching together five different tools.

Rohan VermaAugust 8, 2026 · 7 min read

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Studio Ops

How We Ship Blog Posts with Slack Approval

A simple loop for studio content: draft in git, review in Slack, merge to publish — so blogs ship on a schedule without skipping editorial judgment.

Rohan Verma4 min read

AI Engineering

How AI Copilots Actually Earn Their Keep in Production

Most AI copilots demo well and ship poorly. Here's the engineering that separates a flashy prototype from a copilot people trust every day.

Rohan Verma8 min read

Conversational AI

AI Calling Agents: What It Takes to Sound Human

Voice AI lives or dies in the details — latency, turn-taking, and graceful failure. A field guide to building calling agents people don't hang up on.

Priya Nair7 min read

AI Engineering

RAG in the Real World: Retrieval That Doesn't Hallucinate

Retrieval-augmented generation is simple to start and brutal to get right. A practical look at chunking, ranking, and the failure modes nobody warns you about.

Aarav Mehta9 min read

AI Strategy

Choosing the Right LLM: A Practical Framework

Bigger isn't better — fit is. How to match a model to your task using cost, latency, and evals instead of leaderboard hype.

Rohan Verma6 min read

AI Engineering

Evals Before Vibes: Measuring AI You Can Trust

"It feels better" isn't a metric. How to build evaluation sets that turn AI development from guesswork into engineering.

Aarav Mehta7 min read

Automation

Workflow Automation with AI Agents That Don't Break

Agentic automation is powerful and fragile. The guardrails, fallbacks, and human checkpoints that keep AI workflows running when reality gets weird.

Priya Nair8 min read

Growth

AI-Native Marketing: From Content to Conversion

AI didn't kill marketing craft — it raised the floor. How to use it for research, drafting, and personalization without sounding like everyone else.

Ananya Rao6 min read

AI Engineering

Shipping AI Features in Your Web App Without the Bloat

Adding AI to a product is easy to do badly. Streaming, error states, and cost control patterns for AI features that feel fast and stay cheap.

Aarav Mehta7 min read

AI Strategy

The Real Cost of an AI Product (and How to Control It)

The model bill is the cheap part. The hidden costs of building, running, and maintaining AI products — and the levers that keep them sustainable.

Rohan Verma6 min read

Design

Designing for AI: UX Patterns for Non-Deterministic Apps

AI breaks the rules traditional UX is built on. Patterns for trust, control, and graceful uncertainty when your interface can't promise the same answer twice.

Ananya Rao7 min read