Intro Session
Get a feel for AI. We walk through what's possible, where it could fit in your work, and the cheapest place to start.
- Solo or with your team, same call
- Live walkthroughs of real builds
- Leave with a written next-step plan

I build custom AI workflows and deliver live sessions, tailored around the tools you already use, so you save time and stay in control of what gets shipped.
Services
Start small or dive right in. A tailored plan for everyone. Pricing is quote-based and scoped on the call. You will know all the details before we start.
Get a feel for AI. We walk through what's possible, where it could fit in your work, and the cheapest place to start.
Hands-on workshop. Bring a specific problem and we build the solution together, live, on your stack.
Custom automations, skills, or lightweight dashboards. Built around your real work, shipped and yours.
Reserved hours after a sprint. Cancel any month.
Things you could ask for
Each card is a prompt for a workflow you might find yourself performing regularly.
< 200ms
6+ seconds
In the wild
A mix of public teaching and real systems. Each card links to the actual thing.
YouTubeLive walkthrough of building real workflows with Claude skills and MCPs.
YouTubeBeginner walkthrough from idea to a working app, start to finish.
YouTubePrompt injection risks every solo operator should understand.
prompt-xray-tool.vercel.appLive toolInspect what your prompt actually sends to the model. Run it in the browser.
cookbook.arweave.netLive deploymentLive English to Spanish and Chinese translation across the Arweave developer docs.
github.com/ropats16/llm-wiki-setupOpen sourceSpin up a personal LLM-readable knowledge base for topics you care about. Inspired by Karpathy.
Status · Available for new sprints.
How I work
Four steps. Most engagements run from a 60 to 90 minute call to a system you can run yourself in 1 to 2 weeks.
60 to 90 minutes to understand the problem, the stack, and the team. No prep needed. Show up with the workflow you want to fix.
Written proposal with what gets built, what does not, the timeline, and the price. You approve before any code is written.
Sprint runs 1 to 2 weeks for fixed scope. Larger needs split into sequential sprints, so you ship and validate before committing more.
Retainer for maintenance, additions, and office hours. Cancel any month.
About
The story behind the studio, and how to find me elsewhere.

I am Rohit. I started AI Buildspace because I was already teaching AI on YouTube and Instagram, helping friends and family with their workflows, and getting steady inbound from working professionals who wanted to learn. Education is the part I love most, so I made it the work.
5+ years building with AI. 30+ workshops taught. 5,000+ people mentored across emerging tech. Most engagements start with a 60-minute call, turn into a single focused sprint, and end with a system you can run yourself or extend with my help. Workshops happen in public on YouTube. The studio works globally across timezones.
Book
15–30 minute discovery call. No prep needed. Show up with the workflow you want to fix.
FAQ
Pricing, timelines, what I do not build, tools, handoff, NDAs.
Quote-based after a discovery call. You will know all the specifics before we start working on a project.
Sprints run 1–2 weeks for fixed scope. Larger needs are split into sequential sprints and time may vary with demand.
I most commonly work with tools found in regular workflows like Gmail, Calendar, Slack, Notion, Drive, Granola, and Jira. I'm well versed with the AI stack be it Claude, ChatGPT, Gemini, or even some open source model providers as well as tooling from third parties like HeyGen, Elevenlabs, etc. Custom integrations where it makes sense.
Yes. Every build is documented and editable by a non-engineer. Optional retainer if you want me on call for additions and small changes.