CJ.
Services

AI that does real work — from idea to deployed product.

Three ways I help teams put applied AI to work — each delivered hands-on, outcome-first, and shipped as something real.

AI Agents & Automations

Systems that do real work — autonomous.

  • Build custom AI agents and automations that replace repetitive, manual work.
  • Design "AI employees" — agentic systems that autonomously handle tasks end to end.
  • Work across the modern stack: agentic AI, MCP, and agentic coding with Claude Code.
  • Deploy real-time, human-like conversational voice agents on Retell AI.
  • Tune behaviour with system and meta prompting for natural, reliable dialogue.
  • Wire voice bots into your workflows through webhooks and APIs.

AI Voice Assistants

Human-like, real-time conversation.

AI MVPs & Integration

From concept to deployed product.

  • Develop AI MVPs from idea to a working, deployed product — fast.
  • Automate business workflows with n8n agents and integrations.
  • Integrate AI into existing systems through MCP servers and APIs.
Certification

Outskill — AI Generalist Accelerator

Hands-on work across agentic AI, automation, and applied generative AI.

Outskill AI Generalist Accelerator Program certificate awarded to Chandrasekhar Jinendran
Tools & platforms

My everyday stack

Claude Claude Code MCP n8n Antigravity Open Claw Ollama MSTY Retell AI APIFY KITE GitHub Perplexity Vector DBs GCP Claude Agent SDK Cursor LangGraph GitHub MCP Playwright MCP Postgres MCP
How we'll work

Idea to deployed, in four steps

01

Scope

We pin down the outcome, the constraints, and what "done" actually means.

02

Prototype

A working slice fast — real prompts, real tools, real data, not slideware.

03

Build

Hardened agents, policy layers, integrations and tests — built to run unattended.

04

Ship

Deployed to production, handed over, and ready to do real work.

Tell me what you want to automate.

I'll tell you the fastest path from idea to a deployed product.

Start a project