Karthik Naralasetty · EverWorker
EverWorker · Founding Product Builder

Enterprise AI,
as easy as filling out a form.

A no-code platform where a finance lead, not an engineer, builds an autonomous AI worker. A look at the decisions behind it.

A finished AI worker, live in chat
What it delivered
126%sales lift, first client case study
8 wksROI, guaranteed in the contract
5steps to a live, working agent
The problem

Everyone wants AI.
Almost no one can build it.

The people who know the work cannot configure an agent. The people who can configure one do not know the work.

The design challenge

Make the machinery
feel like a form.

Model selection, RAG knowledge, prompt design, multi-agent orchestration. All of it, approachable, with none of the power removed.

The one rule everything ran through

Your domain experts
are your AI creators.

I listened first

Eleven rooms.
Six shadow sessions.

Across ops, sales, HR, and the IT teams who get the requests. 214 tagged observations became the brief.

Research synthesis
Two hundred notes, three fears
"Let me watch it and stop it."
Fear of the unsupervised agent
"Don't make me speak code."
A vocabulary gap
"What will this cost me?"
Constant cost anxiety
From a wall of notes

Then I mapped
the whole flow.

214 observations collapsed into one path. Browse first, and only if nothing fits, build a worker in five small steps.

Whiteboarding the worker-creation flow
The deep part
Five decisions.
And what each one cost.
01Abstraction02Structure03Trust04Complexity05Entry point
Decision 01 · Abstraction
Plain language, or the real knobs?
Chose

Plain words. "Creativity," not "temperature."

Let go of

Raw model controls. We cut "advanced mode."

The agent brain in plain language

flexibility they cannot use is not power, it is risk.

Decision 02 · Structure
One big form, or five small steps?
Chose

Five steps. A stepper that never moves.

Let go of

The dense form, and the endless accordion.

Lo-fi wireframes from testing

for a first-time creator, confidence beats raw speed.

Decision 03 · Trust
Do you show the meter running?
Chose

A live cost meter, pinned where cost is decided.

Let go of

The comfort of hiding the bill until the end.

cost fear surfaced in every interview. Name it in the moment, and people deploy.

Decision 04 · Complexity
How much of the brain do you reveal?
Chose

A tabbed brain, with defaults that just work.

Let go of

The blank page with every knob exposed.

Granting an agent its skills

complexity should arrive on demand, not on the first screen.

Decision 05 · Entry point
Create first, or browse first?
Chose

Browse first. Create only if nothing fits.

Let go of

The big, shiny "Create" button up front.

it kills a graveyard of near-duplicate agents. Fewer, better, more trusted.

The system underneath

One small kit
kept it calm.

Teal for interactive. Mint for AI and live moments. Signal red exactly twice in the whole flow: deploy, and delete.

The EverWorker UI kit
What that one kit produced

Forty-plus screens.
One calm system.

Worker profile
Knowledge connection
The agent brain
Agent skills
Review and deploy
Workforce analytics
The rigor

Happy paths
make demos.
States make products.

Every component, fully mapped. Hover, focus, indexing, paused, empty. WCAG AA, keyboard, screen readers, all of it.

A component's full state map
The product, in motion

Five steps.
One worker.

Name it. Connect its knowledge. Configure the brain. Grant its skills. Deploy. Then watch it work.

Creating a worker in five steps, then live
Then it goes to work

Built once. Earns its keep every day.

The live worker handling real requests

Live. The worker handles real requests, in plain conversation.

Workforce analytics

Measured. Every worker reports what it did, and what it saved.

The outcome

126%

A non-technical operator stood up an agent that does real work, and trusted it enough to ship. The lift is just the proof.

Where I would push next
01

Earn the power-user mode back, with a real study instead of a guess.

02

Give analytics its own research cycle. Proving value is its own design problem.

03

Multi-agent orchestration is the frontier. One worker is solved. Many is not.

Full case study ↗ karthinkdesigns@gmail.com
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