Content OS
Content pipeline
The system that takes an idea from first note to published post: planning, drafting, scheduling, assets and review, with a strict pipeline so nothing skips a stage or quietly stalls halfway.
Practical AI. No hype.
AI that does real work.
I am Praveen TT. I build AI systems that actually run: automations, agents, and content pipelines that hold up against real data and real deadlines. Not demos, not tool tours. Things that stay switched on after the excitement wears off.
Who I am
I use this stuff daily, then write down what worked.
I work with founders, small teams, creators and local operators who want AI to solve a specific problem, not to become a philosophy. The constraints here are real: limited budget, small teams, fast-moving markets, and no room to experiment endlessly. That shapes everything I build and everything I write.
The method is always the same: one bottleneck, one workflow, one measurable result. I would rather ship a small thing that runs every day than a large thing that demos well once. If a tool is not earning its place, I say so, including when the honest answer is that you do not need AI for this at all.
What I do
Four things, done properly.
Most work falls into one of these. If yours does not, ask anyway. I will tell you straight if it is not a fit.
01
AI automation
Workflows that remove repeated manual work: quotes, invoices, customer replies, reporting. Usually n8n, APIs and a model doing the one judgement step a script cannot.
02
Agents & tooling
Agents that use real tools against real systems, with the guardrails, approvals and observability that keep them safe to leave running. MCP servers, custom tooling, and the scaffolding around the model.
03
Content systems
Pipelines that take an idea to a published post without losing the human voice: research, drafting, scheduling and review, with a person still making the calls that matter.
04
Debugging what broke
The agent that will not behave, the workflow that fails on real data, the prompt that keeps drifting. Often the fastest value I can give you, and the cheapest way to start.
05
Workshops & teaching
In-person and online sessions for teams and communities, built around your actual work rather than a generic slide deck. Practical skills, not an overview of the landscape.
06
Writing
Field notes, setup walkthroughs and a 210-term AI glossary, all free and ungated, because the useful version of this knowledge should not sit behind an email form.
Products
What I am building right now.
These started as tools for my own work, because nothing off the shelf did the job. They run daily. None of them are open to the public yet. I would rather they earn that than be launched early.
Mission Control
Agent operations
The operations layer over the top: which agent is doing what, which stage a project is really in, and where a workflow has drifted from the process it is supposed to follow. Enforcement, not dashboards for their own sake.
Content Intel
Research & signal
Watches what is actually working in a niche, ranks it, and turns the pattern into concepts adapted to your own brand, so content decisions start from evidence instead of a guess.
Why they are not public yet. Each of these was built for a real workload I run every day, which is the only reason they are any good. Opening them up properly means support, docs, billing and a stability promise I am not ready to make. When one is genuinely ready, it will show up here first. the blog is where I write about how they are built in the meantime.
Hire me
Work with me directly.
Async help when you are stuck, a live session when you need a plan, or a hands-on build in your own stack. Sessions start at ₹199 and everything books through Topmate.
See the full options and pricing.
The hire page lays out each level of help, who it suits, and what you walk away with. Project enquiries are free and are not a sales call: tell me what you need built and I reply within 2 days with scope, a price range and a realistic timeline. If it is not a good fit, I will say so.
Courses
Something more structured, in the works.
Sessions are one to one and the writing is free, but neither is a path you can follow end to end. That is the gap I am working on closing.
What it will be
Build-along rather than lecture. The same approach as the sessions: you finish with a working thing in your own stack, not notes and a certificate. I am not announcing titles, prices or dates until the first one is genuinely ready.
Want to know when it opens?
Tell me what you are trying to learn to build. That is what decides which one gets made first, and you will hear before it goes public.
Writing
Free, ungated, no email required.
The blog
Field notes and setup walkthroughs from real projects: building agents, wiring MCP servers, automating actual businesses. Written after the thing worked, not before.
Generative AI Glossary
210 terms across LLMs, agents, MCP, RAG, prompting, diffusion models, safety and infrastructure. Each one says what it is and why it matters in practice. Searchable and free.
Get in touch
Tell me what you are trying to build.
Whether it is a stuck workflow, a project, or a workshop for your team, send the actual problem rather than a meeting request. I reply to everything that is a real question.