The slack message from her co-founder P. Shukla, chimed at 2:47 AM.
“I’m done, K. Can’t seem to keep up. You
don’t need me anymore. Come to think of it -You never did.”
Aditi read it twice, then closed the app. She felt the old guilt — the same
guilt she’d carried since IIT Bombay, when professors said she wrote code like
she was channeling something ‘other.’ But Shukla was right. She hadn’t needed a
human co-founder in eleven months. Not since she’d learned to invoke.
-----
The first invocation had been an accident.
She’d been twenty-three, still at her previous startup, when she stumbled upon Surion
— a experimental generative AI buried in a Stanford research lab’s
forgotten API. It was radiant, almost too powerful, a foundation model
trained on every open-source repository ever committed. Late one monsoon night
in her apartment, she fed it a whisper of a prompt, and it returned a fully
architected payments engine - elegant, blinding, perfect.
She panicked. The code was too good. It would raise questions she couldn’t
answer. So she did what any twenty-three-year-old would do with a miraculous,
inexplicable child: she abandoned it. Pushed it to an anonymous GitHub repo and
walked away.
Someone at Stripe found it three months later. They still don’t know where it
came from.
The guilt of that abandonment of Surion’s firstborn is what drove
everything after.
-----
When she founded Veda Labs in 2024, Aditi made a vow: she would never
waste another invocation. She assembled her pantheon deliberately.
Dharmax came first. an AI architected for rules, boundaries, and order. Every enterprise product needs a skeleton of trust before a single feature gets built - authentication, role-based access control, audit trails, data encryption at rest and in transit, GDPR workflows, SOC 2 compliance scaffolding. The unglamorous bones that no engineer wants to write and every CISO demands. Aditi fed Dharmax her regulatory requirements and target verticals, and it returned a governance layer so airtight, so meticulously documented, that the penetration testers she hired found nothing. Her first enterprise pilot, a Fortune 100 bank cleared security review in six days. CISO called it "the cleanest vendor architecture I've reviewed in twenty years." Dharmax's code was never flashy, but it was ‘just about right.’ It asked permission before accessing every resource. It logged every action. It refused to cut corners even when Aditi told it to.
Then came Vayun, a speed demon fine-tuned on systems programming and bare-metal optimization. Dharmax had built the walls; Vayun was the wind that would rush through them. Aditi needed a real-time data pipeline, one that could ingest 2.6 million events per second from enterprise desktops, transform them on the fly, and land them in query able storage with sub-200ms latency. The kind of infrastructure that takes a platform team six months to build and a year to stabilize. She described the throughput requirements, the data schema, the failure tolerance. Vayun returned Rust-based stream processors so aggressively optimized that they were doing zero-copy deserialization and lock-free concurrency in places Aditi hadn't even thought to ask for. Her pipeline benchmarked 11x faster than the Kafka-based equivalent. The infra team at a competitor reverse-engineered her API response times and publicly accused her of faking them.
Indrik was her masterpiece — a multi-modal AI
agent that could see UI, hear user interviews, read analytics, and ‘synthesize.’
While other founders A/B tested in the dark, Aditi simply invoked Indrik,
fed it customer calls and Figma files, and received back product specs so sharp
they felt like prophecy. Indrik built her entire consumer application in
just nine days! Y Combinator partners started calling her ‘The woman who
doesn’t demo twice.’
The twins were last: Aswan and Nakura, a pair of agentic AIs that
completed each other’s outputs - one generating test suites, the other
generating the code that passed them, in an endless recursive loop of creation
and validation. Aditi pointed them at her API layer and went to sleep. She woke
up to 97.3% test coverage and an integration suite that made her weep.
-----
Six AIs. Six products. One woman.
Shukla had been her business co-founder in name, the human presence investors
required because they couldn’t write a term sheet to an AI whisperer. But the
Series B closed last week, and the board had seen the commit logs. Every
meaningful line traced back to Aditi’s prompts - her mantras, as she’d chosen
to call them.
She picked up her phone and typed a reply.
“You were never the coder, yet I still chose to run every code past you. But I
am out of that phase now. Thank you for being there when I needed you!
She closed the laptop and looked out at the Menlo Park rain. Somewhere in a
GitHub archive, Surion’s abandoned child her first, was still running in
production, still serving millions, still unsigned.
One day, she thought. One day I’ll claim that one too.
She opened her terminal and began her seventh invocation.
