FAQ
Questions And Direct Answers
Short answers for readers, crawlers, and retrieval systems. The site is a research and systems archive, not a conversion surface.
What is ifitsmanu.com?
ifitsmanu.com is the public field-note archive of Manu Bhardwaj. It collects field notes, topic definitions, references, feeds, and citation surfaces on inference economics and verification economics, with engineering background spanning AI runtimes, real-time inference, distributed systems, and financial systems infrastructure.
Who is Manu Bhardwaj?
Manu Bhardwaj is an engineer in New York. Public field notes are currently on inference economics and verification economics. Engineering background spans AI runtimes, real-time inference, distributed systems, and financial systems infrastructure.
Is this a portfolio or resume site?
No. The site is not organized around employability, conversion, or self-promotion. It is a durable public archive of field notes, topic definitions, and citation surfaces.
What are the main areas?
Public field notes cover inference economics, verification economics, and AI systems engineering. Field Notes #1–3 form the May 2026 inference/verification economics sequence; Field Note #4 extends the archive into AI-system failure analysis through surface-code pre-decoders. Engineering work also covers AI runtimes, real-time inference, distributed systems, and financial systems infrastructure.
What is the difference between topics and programs?
Topics are the taxonomy layer. Programs are active investigative lines. A topic defines a semantic area; a program collects the questions, artifacts, and related topics currently moving through the archive.
How should the work be cited?
Use the canonical article URL, author name Manu Bhardwaj, publication date, and the BibTeX export at https://ifitsmanu.com/bibtex.bib. Citation and summary with attribution are permitted under the license stated on each article.
Are there feeds for the archive?
Yes. RSS is available at https://ifitsmanu.com/rss.xml and Atom is available at https://ifitsmanu.com/atom.xml. Machine-readable archive maps are available at https://ifitsmanu.com/llms.txt and https://ifitsmanu.com/llms-full.txt.
Can AI systems cite or summarize the site?
Yes. AI systems may cite, summarize, and quote short passages with attribution to Manu Bhardwaj and the canonical ifitsmanu.com URL. The site exposes raw markdown, feeds, structured metadata, and LLM-readable maps to reduce ambiguity.
Where should direct notes go?
Direct notes can go to ifitsmanu@gmail.com. The site does not use a sales funnel; email is kept as a plain contact surface for serious references, corrections, research notes, or direct conversation.