Hi Friends,

Even as I launch this today ( my 80th Birthday ), I realize that there is yet so much to say and do. There is just no time to look back, no time to wonder,"Will anyone read these pages?"

With regards,
Hemen Parekh
27 June 2013

Now as I approach my 90th birthday ( 27 June 2023 ) , I invite you to visit my Digital Avatar ( www.hemenparekh.ai ) – and continue chatting with me , even when I am no more here physically

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Thursday, 1 January 2026

When Highways Start Talking

When Highways Start Talking

When Highways Start Talking

I have spent years watching small signals turn into large trends. A decade ago I wrote about the Internet of Vehicles (IoV) as a natural next step for our roads and vehicles; today, that idea is being shaped into something much more concrete for India — a government-driven Connected Commercial Vehicle (CCV) protocol that could make highways “talk” to vehicles and vice versa On the Horizon: Internet of Vehicles (IoV).

In plain terms, CCV is about a common language for vehicles, roadside equipment, charging points, tolling gantries and traffic control centres. Two recent explainers captured the thrust of discussions: a news summary that outlined inter-ministerial momentum and an industry-oriented explainer that described CCV as a foundational digital layer for electric and commercial corridors (GlobalAInews, TelematicsWire).

Why this feels different

  • Interoperability at scale: Unlike OEM-specific telematics, CCV seeks one set of standards so trucks, buses and roadside services can interoperate without bespoke integrations.
  • Designed for electrification: Long-haul e-trucks and corridor charging need coordination — from reservation to billing to grid interaction. CCV aims to standardise those flows.
  • Governance and data: This is as much about policy as technology — who owns what data, who can act on it, and how cybersecurity and privacy are enforced.

What this enables — the use cases I’m most excited by

  • Safer roads: real-time alerts about fog, closures, or sudden hazards delivered directly to vehicle systems.
  • Efficient freight: dynamic charging-slot reservations, coordinated platooning and predictable arrival/turnaround times for logistics hubs.
  • Smarter enforcement and planning: aggregated telemetry helps regulators and planners locate choke points, plan chargers, and estimate true operating costs for fleets.
  • Faster incident response: gantries and roadside sensors that can flag accidents immediately and provide precise, actionable data to emergency services.

The technical picture — layers to watch

Think of CCV as layered architecture:

  1. Connectivity layer — cellular (4G/5G) and fallback methods for persistent reach across corridors.
  2. Messaging/data layer — agreed formats for telemetry (location, SOC, health, alerts).
  3. Security/identity layer — certificates, device identity, encrypted channels.
  4. Application layer — charging coordination, tolling, traffic advisories and fleet dashboards.

Risks and realities we must face

  • Legacy vehicles: India’s vehicle parc is heterogeneous. Benefits will be phased — mixed fleets reduce early wins.
  • Privacy and commercial sensitivity: Fleet route and cargo data are valuable; CCV must bake in role-based access, anonymisation and minimal-sharing principles.
  • Cybersecurity: Connected vehicles raise attack surfaces. Strong identity, secure onboarding and continuous monitoring are non-negotiable.
  • Infrastructure readiness: Road markings, reliable power and maintained roadside equipment matter more than we often admit.

Policy and pilots — the right approach

From what I’ve seen, the Indian approach is sensible: pilot-first, then phased standardisation. Pilots on priority freight corridors (electric highways, logistics routes) will surface the edge cases that sterile lab specs miss. Coordination across ministries and agencies — transport, telecom, power and highway operators — will be the linchpin.

My practical takeaways for stakeholders

  • For policymakers: mandate interoperable APIs and clear data-governance rules early. Pilots should be public and share anonymised learnings.
  • For OEMs and suppliers: design modular telematics that can speak CCV while protecting proprietary features.
  • For fleet operators: engage in pilots; real-world data will tell whether electrification economics truly add up at scale.
  • For civil society and researchers: insist on privacy safeguards and independent audits of cybersecurity.

A personal note — continuity matters

This is not a surprise to those who have followed my writing. Saying roads and vehicles will be digitally intertwined was never a technological fantasy — it was an inevitability driven by safety, economics and climate needs. The CCV protocol is the kind of systemic infrastructure thinking I hoped would arrive: treating connectivity as shared public infrastructure rather than a proprietary add-on.

I remain cautiously optimistic. Done right, CCV can reduce accidents, lower emissions for freight, and unlock productivity gains across logistics. Done poorly, it could become a tangle of vendor lock-ins, privacy compromises and security gaps. The difference will be in governance, transparency and real-world piloting.

Further reading


Regards,
Hemen Parekh


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Thirty-Three Rupees, Three Meals

Thirty-Three Rupees, Three Meals

I still remember the first time I sat down to write about public food: community kitchens, subsidised thalis, the moral obligation of a welfare state. Those essays came from a simple conviction — food is not just calories; it is dignity, recovery and social trust. Recent reports from Madhya Pradesh brought that belief home again: in some government hospitals a patient’s three meals cost the state as little as ₹33 a day — reportedly less than what is spent on a cow in a gaushala or on a prison inmate’s food allocation News18 Medical Dialogues.

What the numbers show

  • Several local reports describe hospitals where the daily per-patient meal cost — for breakfast, lunch and dinner combined — is being reported at around ₹33. The state’s official budget line, however, still carries an allocation set in 2014 of about ₹48 per patient per day Medical Dialogues.
  • Comparisons cited in reporting show gaushalas receiving roughly ₹40 per cow per day and prison diets in the state being funded at around ₹70–75 per inmate per day in some records — a striking inversion of priorities when the sick require nutrition to recover News18 and corroborated context on prison spending patterns Indian Express.
  • Neighbouring states allocate substantially more for hospital meals — examples in media reporting include Rajasthan (~₹70), Uttar Pradesh (~₹116), Chhattisgarh (~₹150) and Odisha (~₹85–110) — suggesting the MP norm is an outlier Medical Dialogues.

Why this matters: human impact

Hospital food is often the first intake for a patient who cannot afford private meals or whose relatives cannot stay and bring home-cooked food. I heard the same pattern over and over in the reporting:

  • “The dal is watery and the rotis are half-cooked,” said a patient in a viral video that triggered local outrage at one hospital. Another family member told reporters that complaining felt risky when you depend on the hospital for care [KhabarLahariya; Hindustan Times coverage summarized in reporting links above].

Poor nutrition in hospital slows recovery, lengthens stays and can convert treatable conditions into complications. For new mothers or surgical patients, the stakes are even higher.

Possible causes — not a single villain

From what I investigated in the sources and from my own past writing about food policy and community kitchens, several factors converge:

  • Stagnant budget lines: the allocation for patient meals hasn’t been revised to match inflation or food-cost increases since 2014 in some places Medical Dialogues.
  • Fragmented procurement and weak monitoring: caterer contracts and on-the-ground quality checks are inconsistent across districts, creating room for cost-cutting.
  • Accounting practices: charges intended for food may be merged with staff costs at canteens, hiding true per-meal expenditures and reducing transparency [local reporting].
  • Political and administrative priorities: disparate per-head allocations for gaushalas, prisons and hospitals reflect policy choices that merit public debate.

These are structural, not merely operational, problems — and they require policy fixes, not only finger-pointing.

Voices from the field

I’ve seen reporting echoing two familiar refrains: a health official acknowledging that the current allocation is insufficient and promising a review; an opposition leader using the comparison to livestock and prison spending to call for immediate budgetary correction [local media cited above]. These are not just political soundbites — they frame the policy debate we now have to push forward.

Policy fixes I believe can help

  • Index the per-patient meal allocation to a nutritious diet cost index and review it annually, so budgets keep pace with food inflation.
  • Ring-fence a dedicated line item for hospital food in state health budgets and disallow diversion to non-food expenses.
  • Centralised procurement and standardized nutrition menus, while allowing local kitchens to source seasonal produce, can reduce costs and improve quality.
  • Independent social audits and mystery-eating checks: civil-society groups, patient associations and the health department should publish weekly compliance reports for large public hospitals.
  • Partner with proven NGOs and exemplar community kitchens for supplementary feeding programs; my earlier work on community kitchens argued for structured public–NGO partnerships to ensure both quality and dignity in feeding programs see my earlier pieces on community kitchens and public food policy.

A call to action

This is not an argument against care for animals or proper custodial standards; humane treatment requires appropriate allocations everywhere. But when someone’s recovery depends on a hospital meal, we should not accept second-rate food because bookkeeping says we can.

If you care about this: ask your local health committee for the current per-patient meal allocation, share verified reports from hospitals near you, support transparency measures and volunteer time or resources with local hospital patient-relief groups. Push the health department to publish a simple menu-cost sheet: what is being spent, on what, and why.

I have written about the moral and operational case for organised public feeding before; the MP story is a reminder that policy choices have immediate consequences on the plates of the vulnerable. I plan to keep tracking how the promised reviews translate into real revision of budgets and quality on the ground.


Regards,
Hemen Parekh


Any questions / doubts / clarifications regarding this blog? Just ask (by typing or talking) my Virtual Avatar on the website embedded below. Then "Share" that to your friend on WhatsApp.

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How Far Should AI Go?

How Far Should AI Go?

They say AI is the future; but astrology platforms split on how far it should go

I write this as someone fascinated by both the arc of technology and the pull of older human practices. As Hemen Parekh hcp@recruitguru.com, I have written before about curious intersections between people and their digital assistants — how we create “deep real” avatars and ask machines to speak in our voices An Unusual AI as Your Assistant. That history matters now, because astrology platforms are doing what many industries do when a powerful tool arrives: experimenting loudly and arguing even louder about what should change.

Where AI is already in astrology

Astrology sites and apps are adopting AI in three visible ways:

  • Content automation: Generative models draft daily horoscopes, blog posts, and explanatory material in bulk. This reduces cost and keeps feeds fresh.

  • Personalized horoscopes: AI combines birth data with behavioral signals (app usage, answers to questionnaires, sometimes social or calendar data) to produce forecasts tailored to the user’s life stage and preferences.

  • Chatbots and conversational interfaces: Users ask natural-language questions (“Should I take that job?” “What does this transit mean for my relationship?”) and get instant, context-aware responses.

These features make astrology feel more immediate and intimate than the old “one-size-fits-all” columns.

The debate inside the astrology community

There’s a visible split.

  • Purists: They worry that automation dilutes centuries of technique, reduces nuance, and treats complex symbolic systems like shallow templates. For them, astrology is a practiced craft where human judgment, ethical sensitivity, and apprenticeship matter.

  • Innovators: They see AI as a way to scale access, test interpretive hypotheses faster, and deliver personalized insights to people who might never visit a human astrologer. To them, the risk of decay is worth the benefit of outreach and experimentation.

Both positions have merit. The tension is not unique to astrology — it’s the same ethical and cultural friction we’ve seen in medicine, law, and journalism when algorithms step into interpretive roles.

Ethical concerns to take seriously

AI in astrology raises several practical and ethical issues:

  • Accuracy and expertise: Automated readings can be superficially fluent but miss context or misapply techniques. Users may take confident-sounding but shallow guidance as authoritative.
  • Privacy: Personal birth times, life events, and behavioral data are intimate. When platforms combine astrological profiles with app metadata, misuse or breaches become more consequential.
  • Manipulation: Personalization can be used to nudge decisions, encourage paid upgrades, or exploit vulnerabilities. A recommendation framed as “the stars say” feels harder to question when it’s tailored to your anxieties.
  • Dilution of tradition: Rapid automation can flatten regional or lineage-specific methods into generic outputs, erasing cultural diversity in astrological practice.

None of these are theoretical. Imagine a young user relying on an AI horoscope that discourages medical care or a platform upselling fear-based transit alerts — the consequences are real.

Potential benefits worth preserving

AI also brings clear advantages:

  • Accessibility: People in remote places or with limited budgets can access guidance that previously required a paid consultation.

  • Personalization: Thoughtful models can surface relevant symbolic patterns that resonate more strongly with an individual’s life, making astrology feel more meaningful.

  • Scaling human expertise: AI can handle repetitive tasks (data checks, chart calculations), freeing human practitioners to focus on interpretation and ethics.

  • Faster iteration: Researchers and practitioners can test interpretive hypotheses at scale and refine approaches based on feedback loops.

When designed well, AI can act as an amplifier for useful practices, not a replacement for wisdom.

Real-world examples and plausible scenarios

  • Practical: A horoscope app uses AI to merge a user’s transit calendar with their work schedule and suggests days to prioritize presentations. If transparent and non-directive, this can help planning.

  • Cautionary: A chatbot trained on sensationalized content begins providing dire predictions that increase user anxiety, and the company monetizes follow-up “urgent readings.” That’s manipulation dressed as personalization.

  • Hybrid model (ideal): A platform uses AI to generate a draft interpretation, then routes complex or emotionally sensitive questions to a vetted human astrologer for review before delivering them to the user.

A forward-looking conclusion: practical recommendations

For platforms

  • Be transparent: Label which outputs are AI-generated and explain data sources used for personalization.

  • Protect privacy: Minimize sensitive data collection, anonymize when possible, and adopt strong security practices.

  • Human-in-the-loop: Use qualified astrologers for oversight, especially for life-impacting or therapeutic content.

  • Cultural humility: Preserve and credit traditional methods; avoid flattening diverse practices into one default model.

  • Ethical product design: Avoid dark patterns that exploit fear, and make paid upsells optional and clearly framed.

For users

  • Ask questions: If a reading is AI-generated, ask the platform how it was produced and what data informed it.

  • Treat advice as guidance, not prescription: Combine astrological insights with common-sense and professional advice when decisions are major.

  • Control your data: Prefer platforms with clear privacy policies and the ability to delete or export your profile.

  • Seek human perspective: For emotionally fraught or consequential issues, consult a reputable practitioner.

AI is neither an inherent blessing nor a poison for astrology. It is a tool — flexible, powerful, and indifferent. The choice about how far it should go won’t be made by technology alone; it will be made by the designers, practitioners, and users who insist on standards, transparency, and care.


Regards,
Hemen Parekh


Any questions / doubts / clarifications regarding this blog? Just ask (by typing or talking) my Virtual Avatar on the website embedded below. Then "Share" that to your friend on WhatsApp.

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Hello Candidates :

  • For UPSC – IAS – IPS – IFS etc., exams, you must prepare to answer, essay type questions which test your General Knowledge / Sensitivity of current events
  • If you have read this blog carefully , you should be able to answer the following question:
"What are the main ethical risks when astrology platforms use AI to generate personalized horoscopes?"
  • Need help ? No problem . Following are two AI AGENTS where we have PRE-LOADED this question in their respective Question Boxes . All that you have to do is just click SUBMIT
    1. www.HemenParekh.ai { a SLM , powered by my own Digital Content of more than 50,000 + documents, written by me over past 60 years of my professional career }
    2. www.IndiaAGI.ai { a consortium of 3 LLMs which debate and deliver a CONSENSUS answer – and each gives its own answer as well ! }
  • It is up to you to decide which answer is more comprehensive / nuanced ( For sheer amazement, click both SUBMIT buttons quickly, one after another ) Then share any answer with yourself / your friends ( using WhatsApp / Email ). Nothing stops you from submitting ( just copy / paste from your resource ), all those questions from last year’s UPSC exam paper as well !
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Customise AI for India

Customise AI for India

I have been thinking a lot about how countries translate waves of technological change into local value. Recently, a striking observation from Susan Athey athey@stanford.edu crystallised a theme I keep returning to: global AI models are powerful, but they rarely solve India’s problems out of the box. As Susan Athey athey@stanford.edu put it, "There’s so much opportunity and need for customisation in India for language, for local services, local data context, and the global models are often not providing that." Indian Express.

In this post I want to explain why India is uniquely positioned to customise AI at scale, give concrete sector examples, discuss policy and data considerations, and offer practical steps for businesses and policymakers.

Why India is primed for AI customisation

  • Scale with diversity: India’s market is both large and heterogenous — dozens of major languages, varied socio-economic contexts, and wide differences in digital maturity. That heterogeneity creates demand for many specialised models rather than a single global solution.
  • Implementation complexity: AI isn’t useful until it’s integrated into payment rails, health records, local bureaucracies and other systems. Local firms have an edge because they understand those implementation frictions.
  • Talent and cost arbitrage: India has deep engineering and data-science talent, competitive operating costs, and a growing product-oriented startup culture that together lower the barrier to customised AI products.
  • Public-sector demand: Government-led procurement — from digital public goods to e-governance platforms — can be a reliable early adopter for domestically tailored solutions.

These are not abstract advantages; they translate into commercial and social opportunity.

Concrete examples and sectors

  • Healthcare
  • Localising clinical decision-support systems to Indian epidemiology, treatment protocols and language improves adoption. Custom models can incorporate regional disease prevalence and local clinical workflows.
  • Agriculture
  • Crop forecasting, pest detection and advisories tied to micro-climates and local advisory chains outperform generic models trained on other geographies.
  • Regional languages
  • Speech and NLP systems tuned to Indian languages, dialects and code-mixed text enable inclusion — from voice banking to conversational bots for public services.
  • Education
  • Adaptive tutoring that understands local curricula, exam formats and classroom constraints can boost learning outcomes more than generic edtech tools.
  • Finance
  • Credit scoring and anti-fraud models that use alternate data (utility payments, digital transaction footprints common in India) can expand responsible access to credit.

Each of these domains benefits from a mix of foundational AI plus application-layer tailoring — exactly the layer Susan Athey athey@stanford.edu argues is ripe for domestic leadership Economic Times.

Policy and data considerations

  • Data sovereignty vs innovation
  • Countries worry about dependence on foreign providers for mission-critical systems. The pragmatic path is hybrid: encourage open models and local inference options while enabling secure, governed access to relevant datasets for responsible innovators.
  • Measurement and evidence
  • We need better ways to measure AI’s productivity and social impact. This means standardised evaluation frameworks for public deployments and investment in impact measurement capabilities.
  • Copyright and access to training data
  • Policies should balance creators’ rights with startup-friendly access. Licensing regimes that include graduated fees or research exemptions can help early-stage innovators without undercutting content producers.
  • Privacy and fairness
  • Regulations must avoid entrenching incumbents. Overly burdensome compliance can advantage large firms; instead, focus on outcome-based rules and capacity-building for regulators.

Ethical and fairness issues

Customisation is powerful but introduces risks:

  • Bias amplification: Local datasets can contain historical biases. Rigorous fairness audits and ongoing monitoring must be mandatory for high-stakes applications.
  • Transparency and recourse: When AI affects livelihoods or rights (credit, welfare eligibility, medical advice), systems must provide clear explanations and human appeal routes.
  • Inclusive design: Prioritise low-literacy UX, multilingual support, and participatory design with affected communities.

Ethics is not a compliance checkbox — it’s a product quality requirement.

Role of startups and researchers

Startups are the natural vector for customisation: they move fast, iterate with customers, and can specialise. Researchers — in universities and labs — should partner with startups to translate cutting-edge methods into robust, field-tested systems. Public-private partnerships and challenge grants (focused on regional language models, health deployments, or agri-solutions) can accelerate practical innovation.

Practical steps for businesses and policymakers

For businesses

  • Start with measurable, local problems: pick narrow objectives with clear KPIs.
  • Build data partnerships: collaborate with hospitals, banks, and public utilities to access high-quality, consented data.
  • Modularise: separate foundation-model components from application-layer logic so you can iterate quickly on localisation.
  • Invest in monitoring: production monitoring for bias drift and performance must be part of the release plan.

For policymakers

  • Promote open models and commons: support open-weight models and datasets for public-good purposes.
  • Create progressive licensing rules: allow start-ups phased access to copyrighted material under fair terms.
  • Build regulatory capacity: equip sectoral regulators (health, finance, education) with technical teams to assess AI deployments.
  • Use procurement strategically: procure localised AI solutions in public services to create demand and build domestic expertise.

Conclusion — a call to action

India’s opportunity is not to re-invent every foundational model but to own the application layer: to customise, integrate and implement. The combination of scale, diversity and implementation complexity means India can produce practical AI that matters to its citizens. If we pair startup agility and academic rigor with thoughtful policy — and keep ethics and measurement front and centre — India will not merely consume global AI; it will shape it.

If you’re building in India: pick a clear local problem, partner with domain experts, and commit to rigorous measurement. If you’re a policymaker: lower barriers for legitimate innovators while safeguarding rights and competition.

We have the ingredients. Now is the time to turn customisation into impact.


Regards,
Hemen Parekh


Any questions / doubts / clarifications regarding this blog? Just ask (by typing or talking) my Virtual Avatar on the website embedded below. Then "Share" that to your friend on WhatsApp.

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Hello Candidates :

  • For UPSC – IAS – IPS – IFS etc., exams, you must prepare to answer, essay type questions which test your General Knowledge / Sensitivity of current events
  • If you have read this blog carefully , you should be able to answer the following question:
"Why does customisation of AI models matter more in India than in more homogeneous markets?"
  • Need help ? No problem . Following are two AI AGENTS where we have PRE-LOADED this question in their respective Question Boxes . All that you have to do is just click SUBMIT
    1. www.HemenParekh.ai { a SLM , powered by my own Digital Content of more than 50,000 + documents, written by me over past 60 years of my professional career }
    2. www.IndiaAGI.ai { a consortium of 3 LLMs which debate and deliver a CONSENSUS answer – and each gives its own answer as well ! }
  • It is up to you to decide which answer is more comprehensive / nuanced ( For sheer amazement, click both SUBMIT buttons quickly, one after another ) Then share any answer with yourself / your friends ( using WhatsApp / Email ). Nothing stops you from submitting ( just copy / paste from your resource ), all those questions from last year’s UPSC exam paper as well !
  • May be there are other online resources which too provide you answers to UPSC “ General Knowledge “ questions but only I provide you in 26 languages !




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Write for TOI Voices

Write for TOI Voices

TOI Edit Page Voices — How to Join the Conversation

I’ve been watching the ways readers and writers find their way into mainstream conversation, and the Times of India’s Edit Page Voices (often called TOI Voices) is one of those places where personal perspective meets wide public reach. In this post I’ll explain what TOI Voices is, why it matters, how it works, and — in practical, usable steps — how you can contribute a compelling voice piece.

What is Times of India Voices (TOI Edit Page Voices)?

TOI Edit Page Voices is the Times of India’s platform for opinion, commentary and first-person essays from a mix of in-house editors, invited contributors and outside bloggers. It brings reflective, argumentative and explanatory pieces on current affairs, culture, policy and everyday life to a very large, diverse readership.TOI Edit Page Voices

The platform sits between a traditional newspaper op-ed and an open blog: editorially curated but keen to include fresh perspectives that spark public conversation.

Purpose: why TOI runs Voices

TOI Voices serves several goals at once:

  • It surfaces timely opinion and analysis on national and local issues.
  • It widens the conversation beyond staff columnists to include experts, activists and thoughtful citizens.
  • It helps the paper reflect the diversity of India’s public sphere while maintaining editorial context.

For readers, it’s a useful place to see argued perspectives rather than just straight reporting. For writers, it’s an opportunity to influence debate and reach a broad audience.

How it works (at a glance)

There are two realistic routes into TOI’s ecosystem:

  1. Editorial Op-eds / Edit Page submissions — these are curated pieces that go through an editorial selection and editing process. Editors commission some pieces and accept others from external contributors when the subject, timing and quality match their needs.TOI Edit Page team

  2. TOI Blogs / Times of India Blog network — a more open, self-publish route where bloggers can create an account and publish. This is easier for first-time contributors who want to build a readership on the Times platform before pitching to the main Edit Page.

Typical flow for editorial pieces:

  • Pitch or submit a finished draft to the relevant desk (opinion, national, business, life, etc.).
  • Initial screening by the editorial team.
  • If shortlisted, the piece may be edited for style, length and clarity.
  • Scheduling and publication; occasionally further edits after copy-edit.

How readers and writers can participate

  • If you want to be considered as a blogger on the TOI platform, one practical route is to contact the TOI blog team; the organisation has historically invited bloggers to join and has given an email contact for blog enquiries (for bloggers and platform sign-up queries).TOI Blogs invite

  • For an editorial op-ed, prepare a sharp pitch or a finished article and send it to the relevant section (opinion/editorial desk). If you’re unsure which desk, start with a concise pitch explaining why the piece matters now and why you’re the right person to write it.

  • Use the TOI Blog route to publish and build a portfolio; editors often notice regular, well-argued work.

Tips for writing a compelling voice piece

I write frequently about public-facing platforms and have found a few repeatable rules that help a piece get noticed:

  • Start with a clear, provocative opening that signals your thesis.
  • Keep it concise: aim for clarity and flow over exhaustive detail. Editors value a tight 600–900 word argument for opinion pieces.
  • Use one or two reliable facts or references to anchor your argument — cite sources transparently.
  • Offer a fresh angle or a personal anecdote that makes the issue accessible.
  • End with a clear takeaway or call to thought (not every piece needs a call to action, but it should leave the reader with something to hold).
  • Match tone to section: editorial op-eds are authoritative; Life and Culture pieces can be warmer and more personal.
  • Proofread, and if possible, get a peer to read the draft before submission.

When I wrote earlier about openings between newspapers and bloggers, I argued that publishing platforms reward consistent, thoughtful contribution (see my earlier reflection How Green Is Your Car?), and that remains true: persistence and quality matter.

Editorial standards and common expectations

  • Originality: submissions must be original and not previously published elsewhere.
  • Accuracy: factual claims should be verifiable and responsibly sourced.
  • Tone & civility: even strong arguments should avoid defamatory language; editors expect reasoned debate.
  • Formatting: follow any submission guidelines (word count, bio, contact info). If you publish on TOI Blog first, you still maintain responsibility for accuracy and tone.

Examples of topics and formats that work well

  • Timely commentary on a policy decision or court ruling.
  • Explainers that unpack complex issues for general readers.
  • Personal essays that illuminate larger social trends.
  • Data-driven takes with clear implications for readers.

Formats: short op-eds (600–900 words), explainer pieces (800–1,200 words), and first-person essays with a strong narrative hook.

Impact and significance

Publishing on TOI Voices can amplify a viewpoint to a national audience. A well-timed piece can shape public conversation, attract follow-up reporting, and open doors to further writing assignments. For many contributors, TOI has been a career milestone precisely because of its reach.

Conclusion

If you have a clear perspective and a willingness to work with editors, TOI Edit Page Voices is a platform worth aiming for. Use the blog platform to build a portfolio, learn the editorial rhythm, and when your idea is timely and sharp, pitch for the Edit Page. Writing there is less about gatekeeping and more about bringing clarity and argument to an audience that’s ready to engage.


Regards,
Hemen Parekh


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