Making AI more human.
I write about one question: how do you build AI products people actually trust?
I build AI products — SMARTON, Marketing Autopilot, SkibDrip — and write about what it takes to make them worth trusting. New writing most days.
Full-stack builder turned product leader·Ahmedabad, India·Working globally
New here? Read these three first
The pieces that best explain how I think about AI, product, and trust.
What Building an AI Platform for Blind Users Taught Me About Trust
A blind user cannot glance at the screen and notice that the AI got it wrong. There is no second channel, no visual sanity check. There is the output, and there is the decision they make based on it. Building SMARTON under that constraint shaped everything I now believe about AI products.
Read the essay →Why "AI-Powered" Is a Feature, Not a Product Strategy
If removing the AI leaves nothing behind, you have a demo with a pricing page.
03Why Agencies Need Multi-Client Automation, Not More Logins
What building Marketing Autopilot taught me about the ceiling on agency growth.
+Everything else
The full archive, organized by the five things I think about most.
The archive
Short, direct, most days. Five categories — everything ladders back to the same question.
- What Building an AI Platform for Blind Users Taught Me About TrustHuman-AI UX21 Jul 2026
- Human-in-the-Loop Is a Product Decision, Not a Safety CheckboxAI Product Strategy20 Jul 2026
- White-Label Reporting Is Harder Than It LooksEnterprise Optimization19 Jul 2026
- Why Agencies Need Multi-Client Automation, Not More LoginsEnterprise Optimization18 Jul 2026
- How SMEs Can Adopt AI Without Enterprise BudgetsEnterprise Optimization17 Jul 2026
- The Hidden Cost of Manual WorkflowsEnterprise Optimization16 Jul 2026
- Why Staying Hands-On With Code Makes You a Better Product LeaderRapid Prototyping15 Jul 2026
- From Idea to Working AI Prototype in 7 Days: My ProcessRapid Prototyping14 Jul 2026
Where I spend my judgment
Five areas. Everything I build, write, or advise on connects back to one of these.
Human-AI UX
Designing AI interactions so the reasoning, limits, and outputs are legible — not an opaque black box the user has to blindly trust.
AI Product Strategy
Deciding what AI actually belongs in a product, versus what's just a feature chasing a trend.
Privacy & Security
The trust layer underneath every AI feature — treated as a product requirement, not a legal afterthought.
Rapid Prototyping
Staying hands-on enough with code to turn a product idea into a working prototype in days, not quarters.
Enterprise Optimization
Applying product thinking to operational problems — where most AI-in-the-enterprise efforts actually fail.
Two companies, one standard
Products at Sunbots. AI engineering services at Xwits. Same discipline underneath: AI that's observable, auditable, and worth trusting.
An applied AI company building human-centric products and enterprise-grade platforms. I own product — what we build, what we don't, and how AI shows up inside the experience.
Marketing Autopilot
An AI-powered backend engine for digital marketing agencies. Built for agency operations — running many clients from one system — not single-brand use.
The problem it solves: agencies have always scaled output by hiring. Marketing Autopilot decouples the two.
See Marketing Autopilot ↗- Multi-client automation — run and manage every client workflow from one centralized system, standardizing execution across accounts
- Content at scale — platform-specific content and campaign assets generated across multiple clients and channels
- Campaign execution & AI ad management — planning through publishing, with AI-assisted campaign setup and optimization
- White-label reporting — branded client reports generated automatically, under the agency's own identity
- Performance intelligence dashboard — one operational view across every client
SMARTON
An AI-powered accessibility platform giving blind and visually impaired users independent access to the world — a voice-first mobile app and a smart-glasses ecosystem, in 50+ languages.
This is the product that set the trust standard I hold everything else to.
See SMARTON ↗- Reads printed and digital documents — text-to-speech and document reading
- Understands images, tables, and diagrams — computer vision that describes the visual environment
- Learning support — accessibility tools built for academic and skill-based education
- Daily assistance — text recognition, currency identification, navigation help
SkibDrip
The Mirror. Every morning, in thirty seconds, it reads you and gives your drip — you, at your best, today.
The product bet here is a ritual, not a feature. Styling tools usually ask the user to do the work: browse, filter, compare, decide. SkibDrip inverts that — one moment, one answer, every day. Compressing that much judgment into thirty seconds is the hard part, and getting a person to return to it tomorrow is the only metric that matters.
See SkibDrip ↗An AI engineering company — not an agency. Production-grade AI built around how a business already works, delivered by the engineers who build it.
Ready-to-run automations
Production automations for work teams already do — marketing, CRM, scheduling, billing, finance, support, and operations. One engine, one data layer. Start with one, add the rest.
Custom AI builds
An engineer embeds with the client's team, learns the workflow from inside it, and ships a custom AI system in their environment — typically in production in four to eight weeks.
AI engineering platform
Five specialized AI agents — analyst, architect, builder, reviewer, ops — shipping production software as a team, with a human review gate at every stage.
How the work runs: human-in-the-loop on high-stakes actions · client data stays theirs, hosted in their region, never trained on · every AI action observable, auditable, and off-switchable · fixed fee, scoped per case · no lock-in — code and data export on request.
An engineer who became a product leader
Not a career operations background dressed up in AI language. A builder's path — code first, product second.
I spent years as an independent full-stack developer — JavaScript, React, Node.js, MongoDB, REST APIs — before co-founding Sunbots Innovations. That's the part of my background that shapes everything I do now: I stayed close enough to the code that I can still tell, in a product meeting, whether a proposed AI feature is a weekend prototype or a six-month bet.
As Chief Product Officer at Sunbots, my job is deciding what we build, what we don't, and how AI shows up inside the product without becoming the point of the product. SMARTON set that standard first — when your user is blind, there's no visual channel to double-check the AI, so it either earns trust or it fails. Marketing Autopilot applies the same discipline to a different problem: agencies that can only grow by hiring.
At Xwits, I'm a co-founder of an AI engineering company built on the same principle — that AI belongs in production, observable and auditable, or it doesn't belong in the product at all.
I write and speak about the space between raw engineering and human-centered product decisions — for other builders, product leaders, and anyone trying to figure out where AI actually belongs.
- RoleCPO & Co-Founder, Sunbots Innovations LLP
- AlsoCo-Founder, Xwits Developers Pvt. Ltd.
- Experience5–10 years, freelance full-stack development to product leadership
- ProductsMarketing Autopilot · SMARTON · SkibDrip
- Based inAhmedabad, India · working globally
Direct answers
How do you build AI products people actually trust?
You design the AI's reasoning, limits, and outputs to be legible to the person using them. Trust comes from a user being able to tell what the system knows, what it doesn't, and when it's guessing — not from the model being more powerful.
Who is Ravi Jadav?
Chief Product Officer and Co-Founder of Sunbots Innovations LLP, an applied AI company in Ahmedabad, India, and Co-Founder of Xwits Developers Pvt. Ltd., an AI engineering company. Started as an independent full-stack developer before moving into product leadership.
Which Ravi Jadav is this?
The AI product leader in Ahmedabad, Gujarat — CPO & Co-Founder at Sunbots Innovations, Co-Founder at Xwits Developers, known for SMARTON and Marketing Autopilot. It's a common name in Gujarat and there are others who share it working in unrelated fields. This site is only about the one at Sunbots: ravi.jadav@sunbots.in.
What is Human-AI UX?
The practice of designing AI-driven interactions so the AI's reasoning, limits, and outputs are legible to the person using them, instead of presenting AI as an opaque black box.
What is SMARTON?
An AI-powered accessibility platform built by Sunbots Innovations. It combines a voice-first mobile application, visual intelligence, and a web platform to give blind and visually impaired users independent access to printed documents, images, tables, diagrams, and everyday tasks like currency reading.
What is Marketing Autopilot?
An AI-powered backend engine built by Sunbots Innovations for digital marketing agencies. It runs multiple client workflows from one centralized system, generates platform-specific content at scale, supports campaign execution and AI ad management, and produces white-label client reports automatically.
What does Xwits Developers do?
An AI engineering company delivering production-grade AI two ways: ready-to-run automations across marketing, CRM, scheduling, billing, finance, support, and operations; and custom AI systems where an embedded engineer builds around a client's existing workflow, typically shipping in four to eight weeks.
Why did Ravi Jadav move from full-stack development into product leadership?
Years of independent full-stack development shaped a product approach grounded in staying close enough to the code to make fast, technically credible product decisions.