Disclaimer
Welcome to Alpha with AI by Shikshan Nivesh.
I am Shubham Borkar, the person behind every word here. I ran a ~$60M book on a broking desk before leaving to rebuild investment research with AI. That experience around real money taught me that boundaries matter, which is why this page states mine plainly.
This newsletter, the website (ai.shikshannivesh.com), all posts, prompts, workflows, Research Dives, the model portfolio, Claude Code and Claude Cowork examples, and related content (together, “the Content”) are provided for educational and informational purposes only. They are designed to help professionals, analysts, consultants, founders, and investors build better research systems using AI, and to show that research working on real companies.
1. Educational Purposes Only
All Content is intended to teach techniques, workflows, and ways of thinking. It demonstrates how tools like Claude Code, Claude Cowork, Perplexity, NotebookLM, and others can be used for equity research, industry analysis, compliance automation, and financial modeling, and it shows those methods applied to real, publicly traded companies. It is not a substitute for professional judgment.
2. No Financial, Investment, or Legal Advice
Nothing in this newsletter constitutes financial, investment, tax, legal, or regulatory advice of any kind. Nothing here is a personal recommendation to you to buy, sell, or hold any security or to make any specific financial decision, and nothing here is an offer or solicitation to buy or sell any security.
This is a publication of general and impersonal circulation. It is written for a broad readership and does not consider, and cannot cater to, the individual financial situation, objectives, or risk tolerance of any recipient.
Always consult a qualified, licensed financial advisor or legal professional in your jurisdiction before making any investment or business decision.
3. No Advisory Relationship
A subscription to Alpha with AI, free or paid, does not create an investment advisory, fiduciary, or client relationship between you and me, Alpha with AI, or Shikshan Nivesh. I am not acting as your investment adviser, financial planner, or fiduciary in any capacity, and I cannot answer “what should I do” questions about your situation.
I am not registered with, licensed by, or regulated by any securities regulator in any jurisdiction as an investment adviser or research analyst.
4. Research Dives, My Views, and My Positions
Research Dives and portfolio updates analyze real, publicly traded companies. Everything in them is my personal view and, where stated, my own action. Valuations are my opinions with the method shown, not price targets or calls to act.
Every figure traces to a primary public filing, accession numbers on file. But filings can be misread and models can be wrong, so verify against the source before relying on anything.
I may hold or take positions in the securities discussed. Where I state a personal position, that is disclosure of what I did with my own money, not advice on what you should do with yours. My views and positions can change without notice, and when they do, you will read about it here.
5. The Model Portfolio (Hypothetical Performance)
Paid editions include access to the Alpha with AI model portfolio. It is a model book, and labeled as one: tracked paper positions with dated entry prices, current values, and weights, run on a notional capital base. It is not a record of real trades.
Model results are hypothetical. They involve no real capital, do not represent actual trading, and do not account for brokerage costs, spreads, slippage, taxes, or currency conversion, so results from real trading would differ. Every entry is dated and priced on the day it is published, never backfilled, so the record carries no benefit of hindsight, but it remains a paper record. Uninvested model cash is tracked in a short-term T-bill vehicle so that cash earns the short-term rate, a standard model-portfolio convention. Performance is benchmarked against a broad index from inception.
No representation is being made that any account will or is likely to achieve profits or losses similar to those shown. Past performance, whether real or hypothetical, is not indicative of future results.
Where I actually hold a security that also appears in the model portfolio, the real holding is disclosed separately and never blurred with the model book. A model entry is a record of my analysis and its verdict. It is never a recommendation that you buy, sell, or mirror anything.
6. AI Tools, Hallucinations & Verification
I openly use and teach advanced AI tools (especially Claude Code and Claude Cowork) to build institutional-grade research systems, and AI tools are used in the research and drafting of these editions. These tools are incredibly powerful, but they can hallucinate, make errors, misinterpret data, or produce incomplete results.
Every output must be independently verified by you. Never rely on AI-generated numbers, citations, journal entries, or conclusions without checking them yourself. This is non-negotiable for serious research.
7. Forward-Looking Statements & Projections
From time to time, content may include projections, scenario analyses, forecasts, or forward-looking commentary. These are inherently uncertain and based on assumptions that may not materialize.
No guarantee is made that any projection or outcome discussed will occur. Readers should exercise caution and conduct their own research.
8. Investment & Research Risks
Investing in financial markets involves substantial risk of loss, including the potential loss of your entire capital. Markets are volatile, conditions change quickly, and securities denominated in foreign currencies carry exchange-rate risk on top of market risk. There is no guarantee that any investment strategy, research workflow, or AI-assisted analysis will be successful.
Past performance of any workflow, model, or example, including those built with AI, is not indicative of future results.
9. Accuracy, Errors & No Obligation to Update
I work from primary public filings and sources I consider reliable, and I verify before publishing. Even so, no representation or warranty is made that any content is complete, accurate, or current. Content may contain errors, omissions, or information that has gone stale.
The site, newsletter, and I are not obligated to update, revise, or correct any content, including workflows, examples, or commentary, even if circumstances, markets, tools, or my thinking change. Historical content may not reflect current views or holdings. Errors may be corrected without prior notice.
10. Personal Responsibility & Due Diligence
By reading, subscribing, or using any content from Alpha with AI, you agree that you are solely responsible for your own financial decisions, research, and verification.
The entire purpose of this newsletter is to help you become a sovereign, self-sufficient researcher, someone who can think clearly, build systems, and own their edge. Skipping verification defeats that purpose.
11. Limitation of Liability
To the fullest extent permitted by law, Alpha with AI, Shikshan Nivesh, and I shall not be liable for any direct, indirect, incidental, or consequential loss or damage arising from or relating to your use of the Content, including investment losses or missed opportunities, errors or omissions, technical interruptions, or any action you take based on the Content.
12. Intellectual Property & Personal Use
All Content is protected by copyright and other intellectual property laws. Paid editions, the model portfolio, and subscriber resources are for your personal, non-commercial use. Do not redistribute, resell, republish, or share paywalled content, including the model portfolio link.
Quoting brief excerpts with attribution and a link is welcome. Full reproduction requires written permission.
13. Affiliate, Sponsored, or Promotional Content
Where applicable, any affiliate partnerships, sponsored content, tool recommendations, or monetized links will be clearly disclosed. Transparency is a core value. I only recommend tools I actually use and believe in.
14. Jurisdiction
This content is not directed at any person in any jurisdiction where its publication, distribution, or use would be contrary to local law or regulation. You are responsible for ensuring that your access to and use of the Content complies with the laws that apply to you.
15. Changes to This Disclaimer
This disclaimer may be updated as the publication evolves. The “last updated” date below reflects the current version. Continued reading or use of the Content after a change constitutes acceptance of the revised disclaimer.
16. Contact
If you have any questions about this disclaimer, the content, or how to apply these workflows safely, please reach out:
📩 info@shikshannivesh.com
I personally read and respond to every email.
Last Updated: 11 July 2026
