Mytrya
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What does Mytrya do?

Mytrya builds AI agents, internal tools and data pipelines for small B2B software and service companies. It is a one-person practice run by Suraj Malla in Kathmandu. Every system described on this site was built and is run by him.

Who is it for?

Teams of roughly 5 to 200 people who already run on a helpdesk, a CRM, a billing system and a project tracker, and have a person copying information between them. Founders, heads of operations and heads of support are the usual first contact.

What kinds of projects do you take?

Three kinds. AI support employees that handle support end to end inside whatever helpdesk and chat you run, or as a widget on your own site: they triage, answer, act in connected systems, escalate, follow up and close. Internal tools and dashboards that read your operational data and compute the answers. Data pipelines and workflow automation, in code or in n8n and Make. Each has its own page under Services.

Which systems can you integrate with?

Anything with an API, a webhook, or a web page. Shipped work so far has connected Freshdesk, Freshchat, FastSpring, monday.com, Slack, Telegram, WordPress, Bettermode, MeroShare, three Nepali market-data sites, a broker's web terminal, Claude, Gemini and Gemini Live, OpenAI, OpenRouter, ElevenLabs, Kokoro, eSewa, Clerk, Neon Postgres, Upstash, Redis Cloud, Vercel Blob, Cloudflare R2 and Cloudflare Pages. A system that isn't on that list is usually a day of adapter work, not a reason to say no.

How do projects work commercially?

Fixed scope and fixed price, agreed in writing before work starts. A first project is scoped so that it ships in weeks, with a dry-run demo each week along the way. Ongoing tuning after handover is a separate, optional retainer.

How much does a project cost?

First projects start at $3,000 and most projects land between $5,000 and $20,000, at a fixed price agreed in writing. An AI support employee starts at $6,000; internal tools and automation start at $3,000. Where a project falls depends on how many systems it touches and how much documentation already exists. The scoping call that sets the price is free and takes about 30 minutes.

Why hire one engineer instead of an agency?

The person you talk to on the scoping call is the person who writes the code, runs it in production and answers when it breaks. There is no handoff, no account manager, and the price reflects one salary rather than a team's. The trade-off is capacity: I take a small number of projects at a time.

Why build a custom AI support agent instead of using Intercom Fin or Freshdesk Freddy?

Use the vendor's agent if your help centre alone answers your tickets and the agent doesn't need to act in other systems. Intercom Fin now also runs on other helpdesks, including Freshdesk, at a price per resolved outcome. Build custom when resolving a ticket means acting in other systems, when you want the agent on your own website or inside your product, when you want to choose the model and keep the data in your own accounts, or when you need every action traceable and rehearsable before it goes live.

How do you keep an AI agent from doing something wrong?

Four rules that appear in every agent I build. Dry-run is the default and writes are enabled per integration. Product specifics come only from retrieved documentation, cited in the reply. Record identifiers come from context, never from the model. Anything the agent couldn't answer is logged as a gap and becomes the documentation backlog.

Which AI models do you use?

Claude, Gemini and OpenAI models through their APIs, chosen per task. Where the choice matters I measure it: one of my systems runs a scheduled evaluation of candidate models over identical inputs and keeps the results. Model choice is a configuration, not an architecture decision, so it can change.

Do you use n8n, Make or Zapier?

Yes, when your team will maintain the workflow and can see it as a diagram. Logic that needs rate limiting, retries, deduplication or a test is written in code, and the workflow tool calls it.

Who owns the code?

You do. Every project is delivered into your own repositories and cloud accounts, with documentation and a runbook. Nothing runs on infrastructure you don't control.

Where are you based, and what time zones do you work with?

Kathmandu, Nepal, UTC+5:45. Working hours overlap the full European working day and the early part of the US East Coast morning. US clients get same-day asynchronous responses and scheduled calls in their morning.

Can you show me client work?

Yes, with the client's name withheld. The Work section describes three client systems in architectural detail, including an AI support employee that handles cases end to end across three channels and learns from the human team. Metrics that belong to the client aren't published. Three of my own products, an investing copilot, a rehearsal tool for actors and an app that reads your books aloud, are linked and can be opened.

How do I start?

Write to [email protected] or use the contact form with a description of the process: what it is, who does it, how often, and what goes wrong when it's late. I reply within one working day with either a scoping call or a reason it isn't worth automating.

Taking new projects · start within 2 weeks

A question that isn't here?

What it is, who does it, how often, and what goes wrong when it’s late. I reply within one working daywith a scoping call or an honest reason it isn’t worth automating.

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First projects from $3,000 · fixed price