From the Build Log
Technical deep-dives, architecture breakdowns, and real case studies from building AI systems in production. No fluff — just what actually works.
26 articles by Dhruv Tomar
I Gave Claude Code Access to My Entire Business. Here's What Happened in 30 Days.
Not a sandbox experiment. I connected Claude Code to my CRM, codebase, email, Slack, deployment pipelines, and client projects — then let it run for 30 days. The results broke my assumptions about what a solo operator can do.
I Replaced 5 Hires With One AI System. Here's the Exact Stack.
A 20-person sales team needed 5 new hires. I built one AI system instead — pipeline scoring, lead routing, auto-follow-up, reporting. Here's exactly what I used.
My AI Setup Saves 15 Hours/Week Per Team Member — Here's How
15 hours per week. That's what every sales rep got back after I automated their grunt work. Not with one magic tool — with a system of 6 connected automations.
Stop Building Features. Ship Businesses.
The biggest mistake AI engineers make: they build features when clients need businesses. A feature is a login page. A business is a system that acquires, converts, and retains customers on autopilot.
The AI Stack I Use to Run 20+ Production Systems
Every tool, framework, and service I use across 20+ production AI systems — with why I chose each one and what I'd change today.
How to Build AI Agents That Actually Work in Production
Most AI agent tutorials end at 'hello world.' This guide covers the architecture, error handling, memory, and orchestration patterns that separate demos from production systems.
n8n vs Zapier vs Make.com: Why I Self-Host 218 Workflows
I've used all three. At 218 workflows, the cost difference is 50x. Here's an honest comparison with real numbers, real limitations, and when each tool actually makes sense.
RAG Architecture Guide: Building Retrieval Systems That Don't Hallucinate
RAG is simple in theory and brutal in practice. Chunking strategies, embedding models, retrieval tuning, and the reranking trick that cut our hallucination rate by 60%.
Claude Code Tutorial: How I Build 10x Faster with AI-Powered Development
Claude Code isn't just autocomplete. With skills, MCP servers, and custom agents, it becomes an AI development team. Here's my exact setup and workflow.
AI Automation for Small Business: What Actually Works in 2026
Forget the hype. Here are 7 AI automations that save real small businesses 15+ hours/week — with actual costs, setup time, and ROI numbers.
MCP Servers Explained: How AI Agents Connect to the Real World
MCP is the USB-C of AI — one protocol to connect any AI agent to any tool. Here's how it works, how to build one in 30 minutes, and why it changes everything.
How I Replaced 5 SaaS Subscriptions with One AI System
Jasper, Hootsuite, Calendly, Drift, and Clearbit — $847/month replaced with self-hosted AI workflows costing $35/month. Here's the exact setup.
Multimodal RAG: How to Build AI Search Across Text, Images, Audio, and Video
Text-only RAG is table stakes. Here's how I built a system that searches across PDFs, images, audio recordings, and video — all in one unified vector space.
AI for Indian Businesses: 7 Automations That Work Without Enterprise Budgets
Enterprise AI costs lakhs. These 7 automations cost under Rs.5,000/month and handle Hindi, WhatsApp, UPI, and Indian compliance. Built for real Indian businesses.
The Complete Guide to Deploying AI Applications to Production
From 'works on my machine' to 'running at scale.' Docker, AWS ECS, Vercel, environment management, CI/CD, monitoring — the complete deployment playbook for AI apps.
Building a Voice AI Agent: From Speech Recognition to Production Calls
Voice AI isn't a chatbot with a microphone. Latency budgets, interruption handling, accent robustness, and the telephony stack that handles 200+ real business calls daily.
How to Build a SaaS MVP in 2 Weeks with AI-Assisted Development
QuotaHit went from idea to deployed SaaS in 14 days. Here's the exact timeline, tech decisions, shortcuts that worked, and mistakes I'd avoid next time.
Prompt Engineering for Production: Beyond the Basics
Prompt engineering tutorials teach you temperature and few-shot examples. Production requires structured outputs, error recovery, cost optimization, and prompts that don't break when the model updates.
How I Built 7 AI Agents That Run an Entire Sales Department
QuotaHit isn't a chatbot — it's 7 autonomous agents handling lead gen, qualification, outreach, and closing. Here's the architecture that makes it work.
Voice AI in Production: Handling 200+ Calls/Day for a Construction SaaS
Angelina handles real customer calls for Onsite — a construction SaaS. Sub-1s latency, appointment booking, lead qualification. Here's what actually works in production.
39 Claude Code Skills in 30 Days: The Compound Learning System
From zero to 39 published skills on skills.sh. Not a tutorial — this is the system architecture behind building reusable AI capabilities at scale.
218 n8n Workflows: The Automation Architecture Behind Everything
218 workflows. 54 active in production. From social media posting to CRM hygiene to AI voice callbacks. Here's how I architect automation at scale.
Ghost Browser: Open-Source Browser Automation with Human-Like Behavior
LinkedIn auto-post, feed engagement, job applications, web scraping — all with human-like behavior that bypasses anti-bot detection. Architecture and anti-detection deep-dive.
From 0 to 10 Cr ARR: The AI Systems Behind Onsite's Growth
4 LangGraph agents serving 20 sales reps. Daily pipeline scoring of 500 leads. Facebook Ads optimization. The AI infrastructure that scaled a construction SaaS to 10 Cr ARR.
Building MCP Servers: How I Connected AI Agents to Everything
8 MCP servers for Euron, 2 for Onsite, custom servers for every client. MCP is how AI agents actually do things — here's the pattern I use to build them fast.
FitTrack AI: Running AI Entirely Client-Side for $0/Month Hosting
Camera-based rep counting, food photo analysis, workout tracking — all AI runs in the browser. No server costs, no API bills, no user data leaves the device.