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Editorial Policy

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Why this page exists

Neural Tech Daily publishes reviews, comparisons, and buying guides about consumer technology and AI. The whole point of the publication is to help a reader decide what to buy, why, and where in under five minutes — and the only way that promise is worth anything is if our editorial process is honest. This page describes how we work.

Independence

  • Recommendations are based on merit, not commission. The affiliate programs we use are listed in our Affiliate Disclosure. We choose products by what’s good for the reader. A higher-commission product never beats a lower-commission product on our pages unless it actually serves the reader better.
  • No paid placement in editorial content. A brand cannot pay to be included in a review or buying guide. Sponsored content, if and when we run any, is labelled separately and never presented as editorial.
  • No “review for review” or quid-pro-quo coverage.

How an article is made

Every article moves through a fixed pipeline:

  1. Idea. A query, trend, or unmet need is logged as a candidate.
  2. Outline. We choose the angle, the target reader, the recommendation framework, and the sources.
  3. Research. Facts are pulled from manufacturer pages, reviews, official documentation, and our own testing where applicable. Every fact gets a citation.
  4. Draft. We write original prose from the facts. We do not paraphrase competitors.
  5. Edit. A separate editorial pass checks originality, factual accuracy, voice, structure, and decision-clarity.
  6. SEO and disclosure pass. Title, description, schema, internal links, image alt text, and affiliate disclosure are verified.
  7. Publish. Articles ship only when every check passes.
  8. Update. Articles carry a “last updated” date. We refresh prices, specs, and recommendations periodically — and rewrite significantly when the underlying landscape changes.

What we cover

We have six top-level categories, in editorial-priority order:

  1. Laptops — students, professionals, creators.
  2. Smartphones — mid-range and flagship, India-first pricing.
  3. AI tools and AI news — first-class pillar covering AI productivity tools, AI hardware (NPU laptops, Copilot+ PCs), India-specific AI launches (BharatGen, Krutrim, Sarvam), and head-to-head comparisons (ChatGPT vs Claude vs Gemini).
  4. Audio + wearables — earbuds, headphones, smartwatches, fitness bands.
  5. Smart home + accessories — Matter, Indian-context smart home, peripherals.
  6. Online courses — Udemy, Coursera, Scaler, upGrad picks for Indian career-switchers.

Originality

We extract facts from sources. We do not borrow prose. Every article is original work. The principle: a fact is a verifiable claim that has no copyright; phrasing does. Our internal originality policy requires the editor to spot-check five random sentences against the cited sources before any draft moves forward.

Citations

Every factual claim is either common knowledge or sourced. The Sources block at the bottom of each article links to every URL the article drew from.

Prices and specs

  • We display Indian prices in INR, formatted in the Indian comma system (e.g., ₹1,49,990).
  • Every price is timestamped: as of [date] on [retailer].
  • Prices change. If a price in an article looks stale, please email us so we can update it.
  • Specifications come from the manufacturer’s official India product page where available, or the global product page if the India page is silent. We note when these disagree.

Reviews — what “we tested this” means

When an article says we used a product, we did. When we have not used a product directly, the article says so explicitly: “We have not tested this device hands-on; the assessment below is based on the cited reviews and the manufacturer’s specifications.”

Honest negatives

A buying guide is more useful when it tells you what not to buy. We include “skip this” sections in roundups and comparisons when a popular product doesn’t deserve its place. Our reputation depends on being right about negatives, so we back them with evidence.

Every monetised link is disclosed. See our Affiliate Disclosure for the full treatment. Short version: we earn a commission when you buy through some of our links, you pay the same price either way, and we never let commission rates decide what we recommend.

In our current phase, we publish no sponsored content. If that ever changes, sponsored articles will be:

  • Labelled “Sponsored” or “Paid Partnership” at the top of the article, in the URL slug, and in structured data.
  • Visually distinguished from editorial.
  • Subject to the same factual-accuracy bar as editorial.

Author bylines

Every article has a real human byline. We do not use fake personas. The author has approved the article. All articles are currently bylined by Akhil. When we add other authors, each will have their own bio at /authors/[slug].

Use of AI in editorial work

We use AI tools to research, draft, and edit articles. AI is a tool, like a spellchecker is a tool. The editorial responsibility sits with the named author, who reviews and stands behind every published piece. Specifically:

  • AI agents help with research, outlines, drafting, and editing.
  • A human (Akhil) approves every published article.
  • AI does not get a byline. The named author is real, and so is their judgment.
  • We do not publish AI-generated content as if it were original human reporting; the editor’s review and the originality policy are precisely how we keep the difference clean.

This is doubly important on the AI pillar itself. We test the AI tools we recommend; we don’t recycle their own marketing.

Corrections

If we get something wrong, we correct it. A correction is appended to the article with the date and a short note about what changed. Significant corrections are listed in a corrections log once we have any.

Conflict of interest

  • Akhil discloses any personal financial holdings in companies whose products are reviewed. None as of 25 April 2026. This page will be updated if it changes.
  • Review units, if accepted, are disclosed on the article.
  • Travel, accommodation, or hospitality from a brand is not accepted at this stage.

Updates and refresh policy

  • Buying guides are reviewed at least every six months.
  • Reviews carry a last_updated date that’s set whenever a meaningful change is made (price, spec, recommendation).
  • We do not ghost-update articles to fix errors silently. Significant updates are noted in the article body or in a per-article changelog where appropriate.

Take-down requests

If you believe an article contains a factual error, copyright violation, or misrepresentation, write to contact@neuraltechdaily.com with specifics. We respond within seven working days.

Contact

For corrections, take-down requests, or editorial questions, email contact@neuraltechdaily.com. For formal grievances under the IT Rules and DPDP Act, write to grievance@neuraltechdaily.com.