Module 1: Foundations
The Agent Spectrum, the ReAct Loop, and LangChain abstractions. Build an agent from scratch in 50 lines.
Start Lesson 1 →Product Owner · Fintech · Builder of BA Assistant
I'm a Product Owner with 12+ years of product and technology experience across oil & gas, life sciences regulatory, and fintech. I build practical AI tools for BAs, POs, and product teams — structured specs, user stories, risks, and diagrams from raw input.
Touseef Shaik
Product Owner · Fintech
01 — Flagship
Paste messy requirements. Five AI agents analyse them across requirements, backlog, architecture, risk, and diagrams — and hand back a delivery-ready document in under 60 seconds.
"We need a loan onboarding portal for our bank. Customers apply online with KYC verification, upload documents, and track their application status. Admin approval workflow, notifications at each stage."
Product proof
This is a real Standard-mode output generated by the live BA Assistant on 19 July 2026 using an anonymized sample—not a testimonial or an estimated result.
Before · anonymized input
“Build a digital loan origination system. Customers apply online, complete KYC, upload documents, receive a credit assessment, and track approval. Integrate with credit bureaus, account aggregators, and the lender’s core system.”
After · live report preview
Digital Loan Origination System — Business Analysis & Product Owner Report
Before: one unstructured paragraph. After: a 14-section draft ready for a BA or Product Owner to verify, refine, and export.
Sample AI output can contain incorrect assumptions or regulatory guidance. Review it before use and never paste confidential information.
Choose your path
Paste a rough brief and generate a structured BA/PO report.
Try BA Assistant → 02Understand reusable orchestration patterns, then explore live examples.
Explore patterns → 03Work through golden datasets, RAG, agents, safety, monitoring, and governance.
Start the eval track → 04Practice 125 questions from Scrum fundamentals to responsible AI strategy.
Choose a difficulty →02 — Deep Expertise Track
12 lessons from single LLM call to multi-agent orchestration. Every lesson includes runnable Python code, ASCII diagrams, and the exact patterns behind my production apps. Free.
The Agent Spectrum, the ReAct Loop, and LangChain abstractions. Build an agent from scratch in 50 lines.
Start Lesson 1 →Tool design, sequential pipelines, concurrent fan-out, and dynamic handoffs. All 5 orchestration patterns with code.
Start Lesson 4 →Group chat, magentic orchestration, evaluation, production guardrails, and a capstone project tying it all together.
Start Lesson 8 →03 — Writing
Practical articles on AI for BAs, product workflows, and lessons from 12+ years in product and technology delivery.
Copy-paste AI prompts for requirements analysis, user story generation, acceptance criteria, risk assessment, and Mermaid diagrams.
Real daily AI workflows for BAs and Product Owners — from messy stakeholder input to structured deliverables.
A practical step-by-step framework for taking vague stakeholder input and turning it into clear user stories.
04 — About
I'm a Product Owner in fintech with 12+ years of product and technology experience turning complex business requirements into working software. I spend my days translating stakeholder needs into delivery-ready specs.
I build practical AI tools for BAs, PMs, Product Owners, and delivery teams — starting with BA Assistant, a 5-agent workflow that turns raw requirements into structured specs, user stories, risks, architecture notes, and diagrams in under a minute.
These tools come from real workflow pain: unclear requirements, slow documentation, repeated analysis, and manual handoffs. I believe the best tools come from people who live the problem — and I hope something here makes your work a little easier.
05 — Products & Experiments
Live tools are separated from paused or unavailable experiments.
AI agent that turns approved user stories into properly formatted Jira tickets, ready to import into your backlog.
AI-powered NSE/BSE equity research with 4-lens snapshot, 10-module deep research, and an institutional PDF report.
Experiment Archive
Whiteboard to Requirements, Sarvam Text to Speech, India Streaming Finder, and Cast Relationship Graph remain documented with their current status, demos, and source links.
06 — Games
Calm, pressure-free browser games for curious minds and little hands.
Meet every chess piece through a guided lesson, then enjoy a complete local game with no timers, scores, or pressure.
Choose a photo, pick a difficulty, and drag the interlocking pieces home. Your photo stays on your device.
Try BA Assistant free. No credit card. Just paste your requirements and get a full report in under 60 seconds.
Start Free Analysis →