The Studio Blog

Notes from
the build.

Thoughts, tutorials, and behind-the-scenes from an AI-native studio shipping apps, sites, and enterprise software. No fluff, just what works in production.

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.

SEO for AI Companies: Build Evidence, Not Keyword Pages

Featured

AI Growth

SEO for AI Companies: Build Evidence, Not Keyword Pages

A practical SEO system for AI companies built on clear services, working product evidence, technical crawlability, and genuinely useful expertise.

Jai Kushal BysaniAugust 18, 2026 · 7 min read

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Agent Infrastructure

MCP 2026-07-28: Designing Stateless Agent Infrastructure

What MCP’s stateless core, cacheable discovery, explicit routing, and extension model change for teams operating agent tools at production scale.

Bhanu Teja P7 min read

Agent Reliability

Production AI Agents Need Policies, Evals, and Escalation

A practical control layer for production voice and chat agents: narrow jobs, approved actions, measurable evaluations, and graceful human escalation.

Shiva Charan K7 min read

AI Adoption

Rolling Out AI Agents Beyond the Engineering Team

How to expand AI agents into operations, finance, legal, recruiting, and support with workflow ownership, evidence, governance, and measurable value.

Nithish Baddula7 min read

Model Strategy

GPT-5.6 Model Routing: Match Intelligence to the Work

A practical routing strategy for choosing frontier, balanced, and high-volume AI models by risk, latency, and unit economics.

Shiva Charan K7 min read

Agent Engineering

Context Engineering for Agents That Work for Hours

How to keep long-running agents coherent with compact state, durable artifacts, explicit plans, and resumable execution boundaries.

Bhanu Teja P8 min read

AI Engineering

Migrating from the Assistants API to the Responses API

A low-risk migration plan for moving assistants, threads, tools, files, and observability into the current Responses API architecture.

Baddula Pranathi8 min read

Agent Engineering

Faster Agent Loops: Where WebSockets Actually Help

A latency budget for multi-step agents—and when a persistent Responses API connection improves the experience enough to matter.

Satya Tarun K6 min read

AI Safety

Computer-Use Agents Need Boundaries, Not Just Better Prompts

How to contain browser and desktop agents with scoped environments, approvals, validation, and recoverable actions.

Bhanu Teja P7 min read

AI Security

Secure MCP Integrations: OAuth Is Only the Beginning

A practical security model for MCP clients and servers covering token audience, least privilege, consent, logging, and tool policy.

Bhanu Teja P8 min read

AI Security

MCP Elicitation: Keep Sensitive Steps Outside the Agent

How URL-mode elicitation creates safer boundaries for payments, credentials, consent, and third-party authorization in agent workflows.

Baddula Pranathi6 min read

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.

Nithish Baddula7 min read

Conversational AI

Realtime Voice AI: Design the Conversation as a System

A production architecture for low-latency voice agents that reason, call tools, recover from noise, and hand off without losing context.

Shiva Charan K8 min read

Conversational AI

Live Voice Translation Without Losing the Human Moment

Product and engineering choices for multilingual voice experiences that protect meaning, timing, consent, and cultural clarity.

Jai Kushal Bysani6 min read

Agentic Coding

AI Coding Agents in Brownfield Repositories

A disciplined workflow for using modern coding agents in mature codebases without sacrificing conventions, tests, or review quality.

Satya Tarun K8 min read

AI Evaluation

Evaluating Long-Horizon Agents Beyond the Final Answer

A practical evaluation framework for planning, tool use, recovery, cost, and safe completion across multi-step agent workflows.

Shiva Charan K8 min read

AI Engineering

Multimodal RAG: Retrieve the Page, Not Just the Paragraph

How to build retrieval systems that preserve tables, diagrams, screenshots, layout, and citations instead of flattening every document into text.

Bhanu Teja P8 min read

AI Product Design

Human Approval Gates That Do Not Ruin the Agent Experience

How to place fast, informative approval checkpoints around irreversible agent actions without turning automation into a queue of dialogs.

Jai Kushal Bysani6 min read

AI Strategy

The AI Readiness Audit: Find the Workflow Before the Model

A practical audit for identifying AI opportunities with clear data, owners, controls, and measurable value before selecting a model.

Nithish Baddula7 min read

AI Operations

Controlling Agent Costs Without Making the Product Worse

A system-level approach to AI agent cost using routing, caching, compact tools, cancellation, budgets, and outcome-based measurement.

Nithish Baddula7 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.

Shiva Charan K8 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.

Shiva Charan K7 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.

Bhanu Teja P9 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.

Nithish Baddula6 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.

Bhanu Teja P7 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.

Shiva Charan K8 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.

Jai Kushal Bysani6 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.

Bhanu Teja P7 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.

Nithish Baddula6 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.

Jai Kushal Bysani7 min read