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Siddharth MakadiyaProduct studio · web, mobile & AI

Guide · AI agents

An agent that does work — not a demo

If you are a founder in the US, UK, Canada, or Australia, you have seen the pitch: an agent will run support, sales, or ops. Some of that is real. Most of it is a chatbot with extra adjectives. This is the path I use when someone actually needs the software.
  1. 01Pick the job
  2. 02Read the four moves
  3. 03Quote the agent
Get a quote for an agentAI in the repo

Pick the job

What are you actually trying to ship?

Three honest paths. Tap one. You get the week-one tasks I would run — then a quote if it still fits.

01 · Mobile

Something people can install this month

An idea, a Figma, or a half-finished Flutter repo — and no clear path to TestFlight / Play.

I pin the first slice, the stack, and the store work. You get a clickable build, not another prototype on a laptop.

Week-one tasks

  1. 01Name the user and the one job the v1 must do
  2. 02Freeze screens: auth, home, the money path, settings
  3. 03Pick Flutter or native for a reason, not a trend
  4. 04Ship to TestFlight / internal testing in week one if the repo exists
  5. 05Store listing, crash reporting, and a handover you can keep

Not this

  • — An unbounded MVP
  • — A redesign of the whole brand
  • — Six platforms on day one
Get a quote for thisRead the guideSee live store apps →

The build path

Four moves that keep an agent honest

01

Name the job, not the model

“GPT in the app” is not a spec. “Draft a support reply from the last ticket and CRM note, then wait for a human” is. Agents fail when the job is vague and the tools are unlimited.

02

Give it tools with a fence

Read-only first. Write actions (send email, change a record) behind confirmation or a tight allow-list. Log every tool call. If you cannot replay a session, you cannot improve it.

03

Measure something boring

Time to first useful output, percent of tasks finished without a human, and number of harmful actions caught. Accuracy theatre is how agent projects stall.

04

Ship a thin slice

One workflow, one team, two weeks. Then expand. A 40-tool “ops copilot” on day one is how you burn budget and trust.

What it usually costs

A single-workflow agent with logging and a human fallback is often a build sprint (from $2,500) or a short engagement. Broader agents need discovery because your data and permissions decide whether the thing is useful. I will not quote a six-figure “AI transformation” from a landing page.

FAQ

What is an AI agent in this context?+

Software that can take tools (search, CRM, email, your API), decide next steps, and complete a job with logging and limits — not a chatbot pasted on a landing page.

Will an agent replace my support team?+

It can take repetitive work first. The useful pattern is: agent handles the obvious, humans get the rest, and you measure deflection honestly.

How long does an agent project take?+

A thin, useful agent with one or two tools is often a 2–4 week sprint. Broader ops agents need discovery because permissions and data quality decide success.

Keep exploring

The site is a map, not a brochure

Proof

Portfolio

Live store apps you can open.

Path

Mobile · AI · vibe

How the work actually runs.

Notes

Field notes

Daily writing from the desk.

Next

Get a quote

A brief. A USD number.

Next step

Have a workflow an agent should own?

Describe the job and the systems it must touch. I will say if a sprint is enough.

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