Thinking leverage
Without AI as a thinking partner, research, planning, analysis, and decision-making stay unnecessarily slow.
AI Transformation Lab
A founder-led lab for serious professionals building AI workflows, agents, and automations around real work.
Led by Shrikrishna Kulkarni - technology leader, systems thinker, and builder of real AI agents for business workflows.
YantraDhi is for people who want to become more capable, more productive, more creative, more strategic, and more independent using AI.
AI is not only a skill. It is becoming a life operating layer.
Why this matters for growth
They will learn faster, test ideas faster, make better decisions, document better, communicate better, and turn repeated work into systems. Without that layer, people and businesses will slowly lose speed, clarity, and optionality.
Without AI as a thinking partner, research, planning, analysis, and decision-making stay unnecessarily slow.
Repeated work continues to depend on manual effort instead of prompts, workflows, agents, and review loops.
Ideas remain trapped in one person’s time and energy instead of being explored, rewritten, tested, and repurposed.
The lab position
Everyone has access to similar AI models, SaaS tools, and templates. Most people use them in the same shallow way, so they get similar average results.
The difference comes from structure, context, memory, instructions, examples, workflows, and feedback loops designed around your actual work and business.
YantraDhi helps you build that customized AI layer instead of hopping between tools and hoping one of them magically understands your world.
Token budget matters
Serious AI work costs money: model calls, experiments, retries, file processing, agent runs, tool usage, and automation testing. YantraDhi is for people who understand that meaningful AI leverage needs a practical operating budget.
See how Shri uses AI agents
These pages are built as live workspaces. Each agent can update its own page over time with current purpose, instructions, outputs, logs, and examples.
Rama will start the WhatsApp conversation, explain the lab, qualify serious applicants, and create a private lead brief for Shri.
Rama is coming soonTracks investment ideas, research notes, portfolio context, and decision signals in one structured workflow.
View agent pageTurns scattered source material into structured notes, decision briefs, and reusable knowledge.
View agent pageSupports outlines, drafts, rewrites, repurposing, and tone calibration for professional writing.
View agent pageConverts repeated work into human-in-the-loop automation plans, SOPs, and implementation steps.
View agent pagePersonal AI Operating System Cohort
Workflow audit, goals, bottlenecks, and AI opportunity map.
Think in workflows, systems, decisions, and high-value use cases.
Research, writing, planning, learning, and decision-support workflows.
Apply AI to the work you actually do every week.
Reusable prompts, SOPs, semi-automations, and human review loops.
Design role-specific assistants with instructions, boundaries, and outputs.
Demo your personal AI operating system and define the next 90 days.
Fit
We analyse the information you provide and admit people based on seriousness, readiness, and whether the lab can create meaningful implementation value for them.
Rama
Rama will ask a few focused questions, understand your work context, check whether there is a serious fit, and create a private summary for Shri to review.
Rama is being prepared before WhatsApp intake opens.
Rama will capture your role, workflow, AI usage, token-budget readiness, and implementation goals.
If there is a serious fit, you will be invited to the next step.