StoryHug
A bedtime-story app, and the authoring workflows behind the stories.
My contributionProduct development, AI workflows and content operations
Read case studyMarketing + AI automation
DEVAL
Marketing mindBuilder handsI'm Deval, a marketer and hands-on builder. I combine audience research, content and automation to build products and workflows people can use.
Open to full-time rolesWilling to relocate to Mumbai

A little of what I build ↗A product platform, a story catalog, a customer journey and a small personal automation. Different problems, the same habit: understand it, build it, check what really works.
A bedtime-story app, and the authoring workflows behind the stories.
My contributionProduct development, AI workflows and content operations
Read case studyA local-first desktop platform where non-technical people hire an AI employee and steer it by clicking.
My contributionProduct definition, architecture and build direction
Read case studyFrom a home-buying proposition to a clear landing page and structured enquiry journey.
My contributionLanding pages, research, branding, campaigns and enquiry workflows
Read case studyI am hands-on with modern agent tooling, and I am just as clear about what I built myself and what I use from other people's open-source work.
Mine
A local-first desktop prototype that turns coding agents into click-first employees with a real permission boundary.
Mine
A self-hosted Telegram study tool: voice or text in, a confirmed topic out, then reviews on days 1, 3, 7 and 21. Source code is public.
Open source I use
Palash Debnath's local voice-cloning and dubbing application. I run it on my own hardware for voice and narration work. I did not build it.
Open source I use
Community Android TV debloating and launcher projects. I use and adapt them for a calmer home screen. The upstream authorship belongs to those maintainers.
Agent tooling
The harnesses I use to research, specify and build. I define the product and the boundaries, and I say plainly when work is agent-assisted.
Marketing stack
Campaign planning, paid media and measurement from my marketing and PPC background, alongside organic growth and SEO.
Built, then explained
On @deval.auto, I turn AI tools and workflows into practical explanations. My work includes hands-on builds, the LARP or Legit series and brand content.
That marketing foundation shapes what I build: who it is for, what the promise is and how someone reaches a useful result.
Explore @deval.autoA public body of work
36.5K
Approximate Instagram followers · observed 5 Nov 2026
A dated profile observation, not a live counter
I bring research, scripting and implementation together. You can evaluate the product work here without an Instagram account.
Technical communication example
LARP or Legit
A comment-to-DM tool test, including a broken localhost link and the deployment fix.
Open on Instagram
Practical project build
A study-bot build linking voice or text notes to reviews on days 1, 3, 7 and 21.
Open on Instagram
Technical communication
Connecting Antigravity, GitHub and CodeRabbit into one development workflow.
Open on InstagramInstagram may require a login. Each example is described here so the hiring story does not depend on the embed or platform being available.
How I work
Who is using it? What goes in, what should come out, and what happens when something is missing? For AI Employee Marketplace, that meant designing for a shop owner who will never open a terminal.
Build the important flow before adding more surface area, then let real evidence decide the next step. In ReviseBot, the key boundary is confirmation: a proposed topic is not yet a saved schedule.
Test state changes and failure paths, then say what was actually checked. Each case states its limits, including the AEM screens captured from a prototype whose desktop build is still unverified.
A little about me
I'm Devalnath Manikandan. A marketing and PPC background, then organic audience growth, then a pull toward building the systems behind the content. That path is why I can run a campaign and also wire the automation that makes it repeatable.
Most of my work now sits where marketing judgment meets implementation: product definition, AI workflows, automation and the content that explains them. Earlier roles included a corporate social-media position, and I still do the growth and content work myself.
I'm looking for a full-time role across AI implementation, automation, marketing engineering, growth systems or product marketing, ideally in Mumbai and from an office.
Let's discuss a roleThe problem isn't the AI tools. The problem is we skip the part that makes the tools useful. Why planning feels wrong, but isn't.
Why digital dashboards overflow with metrics that fail to drive action, and how aligning KPIs directly to business objectives turns raw data into strategic decisions.
Exploring the critical debate of paid versus organic search strategies. Analyzing the pros, cons, and speed of each to help businesses build a robust digital presence.