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AI Agent Development

An agent is only worth building when it has a named job, a system to read and write, and a clear line where a human still signs. Everything else is a demo.

Built with proven, modern technology

What is included

Everything you need. Nothing you do not.

One job, defined narrowly

Not an assistant that does everything vaguely. A named task, with a written definition of what good output looks like and what it must never do.

Wired into your systems

The agent reads and writes in your ERP, CRM or billing system through proper APIs, so it works from your live prices and stock rather than a stale copy.

A human gate where it matters

Quotes, payments, anything sent to a customer: drafted by the agent, released by a person. The approval step is logged with a name and a time.

Where your customers already are

Most of this lands on WhatsApp in India, not in a web widget nobody opens. We handle the Business API, templates and approval.

Built properly

Made to last. Not just launched.

Most businesses asking for AI agents describe the same handful of jobs: read the enquiries and sort them, turn a request into a priced quotation, chase the people who never replied, pull the figures out of a supplier invoice, answer the question a customer asks at eleven at night. These are real jobs, they cost real salary hours, and an agent can genuinely do them — but only where it can reach the system that holds your prices, your stock and your history. An agent with no access to your data is a chatbot with a better vocabulary.

function deploy() { build(app); test(suite); ship(prod); }

One job, defined narrowly

Not an assistant that does everything vaguely. A named task, with a written definition of what good output looks like and what it must never do.

Documents into data

Invoices, purchase orders, bank statements and delivery notes read into structured fields, with anything low-confidence flagged rather than guessed.

Measured against the old way

We agree what the manual process costs before we start, then measure the agent against it. If it does not win, we say so.

How we work

A clear path to shipped.

Every project runs the same honest way — so you always know what is happening and what comes next.

Discovery_

We map your goals, users and constraints, then scope it honestly.

fixed quote
Design_

Wireframes and a clear plan you approve before we build.

you approve
Build_

Clean, documented code shipped in reviewable stages.

weekly demos
Launch_

We deploy, hand over the keys, and support what we ship.

you own it

Why teams choose us

Built to deliver real outcomes.

Design, build, and maintenance under one roof — so nothing gets lost in hand-off and you get software that lasts.

ProcessDeliverablesSupport

You get clean, documented code you own outright, shipped in stages you can see — and a team that stays on to support what it built.

The Whirl Designs promise
worldwide delivery
SOFTWARE DEVELOPMENT

Engineering you can build on.

Clean, documented, tested code on a modern, proven stack — the foundation that keeps your ai agent development fast and dependable for years.

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app/services/report.ts
export async function buildReport(range) { const data = await db.orders.between(range); return { revenue: sum(data), growth: 0.18 }; } tests passed · deployed to prod

Ready when you are

Let's build something that lasts.

Tell us the problem you are solving and we will come back with a clear, honest plan.

50+
projects shipped for local & global clients_
100%
of the code is yours to keep_
2
studios — Udupi & Mangalore, worldwide delivery_

Questions

AI Agent Development — FAQ

What is the difference between an AI agent and a chatbot?
A chatbot answers. An agent acts — it reads your data, takes a step, and reports what it did. The useful distinction is not the model, it is whether the thing has permission to change something in a real system.
Will it make things up?
Language models can, which is exactly why the design matters more than the model. We ground every answer in your own records, constrain the agent to a narrow job, and keep a person on anything that goes out under your name. Where a wrong answer would be expensive, the agent is not allowed to answer alone.
Does our data go to a third party?
It depends on what you choose, and you should decide this deliberately. Hosted models are cheaper and better, and your data reaches their servers under their retention terms. Where that is not acceptable — patient records, unreleased pricing — we run smaller models on your own hardware and accept the reduced capability. We will price both.
What does it cost to run?
There is a per-action cost, unlike ordinary software, so we size it honestly before building: expected volume times cost per action, monthly. Most of the jobs worth automating come to a small fraction of the salary hours they replace, and we will tell you when a job is not one of them.
Can it work with our existing software?
That is the normal case, and usually the point. If your ERP, CRM or billing system has an API we use it; if it does not, we add one. We are not proposing to replace working software to make room for an agent.
How do we start without betting much?
Pick the job that annoys you most and is safest to get wrong — enquiry sorting, follow-up drafting, document reading. One agent, a few weeks, measured against the manual process. It either earns the next one or it does not.

Let's build

Ready to start your ai agent development project?

Tell us what you're building. We'll come back with a clear, honest scope — no jargon, no lock-in, no fluff.

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