01 / AUTOMATION
AI agents & workflow systems
Research, classify, draft, route and report with agents connected to the tools your team already uses.
AI systems studio / India
Make your business easier to discover, ask and run.
I build AI agents, grounded chatbots and search visibility systems for teams that want useful automation without a black box. The same discipline powers my XGBoost and options research.
AI agentsWebsite + WhatsApp chatbotsSEO / AEO / GEOLearn by buildingApplied ML
System / 001Ready to map
CaptureQuestions, data, intent
ReasonGrounded model logic
ActAnswer, route, publish
InputClear
AnswerGrounded
HandoffVisible
Good automation has a clear input, a verifiable answer and a useful next step.
3 stepsAgentsworkflow automation with human control
Answersgrounded chatbots for real questions
VisibilitySEO, AEO and GEO foundations
Proofbooks, research and public builds
Choose a thread
What brought you here?
A good first step should feel obvious. Choose the question closest to yours and I will point you to the most useful next page.
Your first move01 / 03
Map the question before choosing the tool.
Start with the workflow, the knowledge source and the human handoff. Then explore how an agent or grounded chatbot can make the next step faster and clearer.
What I build
Practical systems with a point of view.
Start with the business question. Then choose the smallest reliable system that can answer it, act on it or make it visible.
See the agent service
02 / CONVERSATION
Grounded AI chatbots
Website, WhatsApp or Telegram assistants that answer from approved documents and know when to hand off.
03 / DISCOVERY
SEO, AEO & GEO
Technical foundations, answer-ready pages, entity clarity and content systems for Google and AI answer engines.
04 / LEARNING
AI Agent & SEO courses
Learn to build a real agent or a complete SEO, AEO and GEO visibility system with a portfolio-ready capstone.
Interactive blueprint
Every business has a different first move.
Pick the closest situation. This is a quick thinking tool, not a sales calculator.
Recommended first system
Turn founder knowledge into a searchable operating system.
A research agent finds questions, a grounded chatbot answers from approved material, and SEO pages make the expertise discoverable.
step01
Research questions
Research questions
step02
Ground answers
Ground answers
step03
Publish proof
Publish proof
Field notes
Follow the question a little further.
Short, useful routes into the work. Read one note, open the source, then decide whether the idea belongs in your own system.
Research / 018 min read
XGBoost for 15-minute NIFTY options
A leakage-safe way to think about time splits, features, walk-forward validation and the gap between a backtest and a live decision.
Open the field noteBuild / 026 min read
Why grounded chatbots earn trust
A chatbot becomes useful when its sources, boundaries and handoff path are clear. The model is only one part of the system.
Read the system noteSearch / 037 min read
SEO, AEO and GEO are one clarity system
Make the entity clear, answer the real question, support the answer and build a site that both people and machines can navigate.
Read the visibility noteOpen practice / 04Project map
From public repository to usable proof
Explore the trading research systems, options platform, analytics dashboards and experiments behind the public GitHub work.
Explore the project mapClarity is a feature, not a copywriting afterthought.
I care about systems people can inspect. That means direct answers, clean data boundaries, explicit failure states and content that is useful even when a search engine never sends a click.
- Ownable code and documentation
- Human review where the stakes need it
- Structured facts that machines can interpret
Selected builds
Research is part of the work.
These public projects keep the practice grounded: real data, explicit limits and a habit of showing the method.
Trading research
Option Trading with AI
A research and education project around NIFTY options, XGBoost, LightGBM, walk-forward validation and leakage control.
XGBoostNIFTYWalk-forward
Writing & teaching
Books, articles and walkthroughs
Practical explanations for builders and traders who want to understand the model, the data and the failure modes.
BooksDev.toYouTube
Open practice
Public systems, documented in code
Explore trading research, options analytics and AI experiments through the project map, then inspect the source on GitHub.
PythonBacktestsOpen code
About the builder
AI/ML, markets and the messy middle.
Shakti Tiwari is an Indian AI/ML builder, author and NISM-Series-XII certified options educator. His work spans technical SEO, local AI systems and applied machine learning for Indian markets.
Read the full bioAcross India
One studio, many business contexts.
Remote delivery across India, with useful city pages for the markets where teams most often need agents, chatbots and search visibility.
Looking for another city? See the India service-area directory ->
Clear answers
Before we build anything.
What does Shakti Tiwari do?
He builds AI agents for research and workflows, grounded chatbots for websites and messaging channels, and SEO, AEO and GEO systems that help businesses become easier to discover and understand.
Can the work be done remotely across India?
Yes. Work is delivered remotely across India. City pages describe the service area and local business context; they do not claim a separate office, local address or local testimonials where none exist.
What makes a chatbot grounded?
A grounded chatbot has a defined source set, retrieval rules, response boundaries, escalation paths and a way to review unanswered questions. It should not invent an answer simply because a user asked confidently.
Is the trading material financial advice?
No. The trading research, books and examples are educational only. Shakti Tiwari is NISM-Series-XII certified as an educator, not a SEBI-registered Research Analyst or Investment Adviser.