Getting Started with Macha: From Signup to Your First Agent in Minutes

This guide walks the whole path: create an account, run the three-step guided setup that shipped in March 2026, connect your first integration, and build and test a real agent. The onboarding flow is designed to get you a working agent in under two minutes, and the rest of this post is about doing it deliberately so the agent you end up with is one you'd actually trust on a live ticket.

Before you start: what you'll need

You can sign up with nothing but an email — a 7-day free trial, no credit card required, so you're not committing a card to look around. To get to a useful agent, have two things handy:

• Admin (or app-install) access to your helpdesk. Connecting Zendesk needs permission to authorize the connection. If you're not an admin, the connect step is the one place you'll need to loop someone in.
• A rough idea of the first job. Resist the urge to automate everything on day one. The advice every serious deployment guide repeats — and it's good advice — is to start on high-volume, low-complexity tickets: order status, "how do I reset my password," shipping ETAs. Those are the tickets where an agent earns trust cheaply.

That's it. No knowledge-base migration, no data export. Let's go.

Step 1 — Create your account

Head to the signup flow and create your workspace with your work email. There's no credit card on the 7-day free trial, no credit card required, and you land directly in the dashboard with onboarding ready to run.

A note on organizations: everything in Macha lives inside an organization (your workspace). Agents, connectors, knowledge sources, and your credit balance are all scoped to it, and you invite teammates into the same org later from Settings. If you're evaluating on behalf of a team, create the org under a shared/work identity from the start so you're not migrating later.

Step 2 — Run the guided setup (the 3-step flow)

The guided onboarding that landed on March 8, 2026 is the fastest way in. It's three screens:

1. Select your tools — tell Macha which systems you work in (your helpdesk plus commerce/knowledge/comms tools like Shopify, Stripe, Notion, Slack).
2. Pick a recommended agent template — Macha suggests starting agents based on the tools you chose.
3. Connect your integrations — authorize the connectors the template needs.

The point of the flow is that it hands you a pre-shaped agent instead of a blank canvas. You're choosing from known-good patterns, not inventing one.

Templates are the shortcut worth taking on day one. Each one comes with a sensible system prompt, the right tools pre-attached, and a clear job — a ticket-triage agent that classifies and routes, a WISMO ("where is my order") agent, a draft-reply agent that writes a response for a human to approve. Pick the one closest to your first job; you'll customize it in a minute. If you'd rather understand the building blocks first, the Agents docs lay out how a Macha agent is assembled.

Step 3 — Connect your first integration

This is the step that makes Macha Macha: the connector to your helpdesk. Open Connectors, choose your helpdesk, and authorize it.

For Zendesk specifically, that single connection unlocks a deep set of actions — not just reading tickets but acting on them:

Macha also supports multi-instance connectors (shipped the same March 8 release): if you run two Zendesk accounts or three Stripe accounts, you can link each one separately and Macha auto-disambiguates the tool names so the agent knows which account to use. After authorizing, confirm the connection reports healthy before you build on top of it.

This is also where Macha's "layer on top" model becomes concrete. You're not migrating tickets into Macha — the agent reads and writes back into Zendesk, in place. Your agents keep using the same workspace they always have.

Step 4 — Shape your first agent

With a template chosen and a connector live, open the agent and make it yours. The configuration is plain-language, not code.

Four things to set, in order of impact:

• Instructions (the system prompt). Tell the agent its job, its tone, and — crucially — its limits. "Answer order-status questions using the Zendesk order field and Shopify. If the customer asks for a refund, do not process it; add an internal note and tag needs-human." Explicit boundaries are what make an agent safe to turn on.
• Tools. The template attaches a starting set; trim or add. An agent should only hold the tools its job needs — fewer tools, more predictable behavior.
• Knowledge. Point the agent at your help content. You can sync the Zendesk Help Center, or add PDFs, docs, Notion pages, and Google Docs as live sources so the agent answers from current material, not a stale snapshot.
• Model. Pick the model for the job. Pricing is credit-based, per AI action (per complete agent response), ranging roughly 0.5–9 credits depending on the model, with the default GPT-5.4 Mini at 1 credit — a fast, cheap default that handles most triage and reply work. Reserve heavier models for genuinely hard reasoning. See the pricing page for how credits map to plans.

Step 5 — Test before you trust

Never point a fresh agent at live customers blind. Macha gives you a chat/test surface to run real-looking tickets through the agent and watch what it does — which tools it calls, what it would reply, where it hesitates.

Run your ten ugliest tickets through it: the ambiguous ones, the angry ones, the edge cases. Tune the instructions until the agent does the right thing including knowing when to hand off. This loop — test, read the trace, adjust the prompt — is where five minutes of effort saves you a bad customer interaction later. When you're satisfied, you can attach a trigger so the agent runs autonomously on new tickets, or keep it in draft-reply mode where it writes and a human approves.

Watch-outs: when not to flip the switch

Honest guidance, because a confident agent doing the wrong thing is worse than no agent:

• Don't auto-resolve money or account-state actions on day one. Refunds, cancellations, plan changes — start these in draft/internal-note mode where a human approves. Graduate them to autonomous only after you've watched the agent get them right.
• Garbage knowledge in, garbage answers out. If your Help Center is thin or outdated, the agent inherits that. Spend the hour fixing your top-10 articles before blaming the model.
• Start narrow. One template, one ticket type, one connector. The teams that get burned are the ones that try to automate the entire queue in week one. Prove it on order-status, then expand.
• Watch your credits. Billing is per-action; Macha sends usage alerts at 50%, 80%, and 90% of your plan's credits, and you can top up in-app. A test-heavy first day is cheap, but a misconfigured autonomous trigger on a noisy webhook is the thing to watch.

How fast is "minutes," really?

The guided setup genuinely gets you a configured, testable agent in a couple of minutes — that part is fair. Getting an agent you'd trust unsupervised on live tickets is a slightly longer arc: a session of testing, a pass over your knowledge, and a few days running in draft mode. That tracks with the broader industry bar — pre-built helpdesk integrations like Macha's deploy in under an hour, but responsible teams keep a human in the loop while they build confidence. Macha's onboarding is fast; the discipline of testing before trusting is on you, and worth it.

Where to go next

Once your first agent is live, the natural next steps:

• Add a second connector — Shopify or Stripe so the agent can look up real order and payment data mid-conversation. Browse the full set on the Macha for Zendesk page.
• Add a trigger so the agent runs autonomously on incoming tickets instead of only in chat.
• Build a sub-agent — let your main agent delegate a specialist task (also shipped March 8) for cleaner, more reliable workflows.
• Read the rest of the docs and browse the blog for worked examples of agents in production.

FAQ

Do I need to leave my current helpdesk to use Macha? No. Macha is an agent layer that sits on top of Zendesk, Freshdesk, Gorgias, or Front. It reads and writes tickets in place — there's no migration and your team keeps using the same helpdesk.

How long does setup actually take? The guided 3-step onboarding (select tools → pick a template → connect integrations) gets you a working agent in under two minutes. Tuning it into something you'd run unsupervised on live tickets is a slightly longer, sensible process of testing and knowledge prep.

Do I need a credit card to start? No — it's a 7-day free trial, no credit card required, so you can build and test an agent before committing.

What does an agent cost to run? Billing is credit-based and charged per AI action (per complete agent response), roughly 0.5–9 credits depending on the model, with the default GPT-5.4 Mini at 1 credit. See the pricing page for how credits map to plans.

Can I connect more than one Zendesk (or Stripe) account? Yes. Multi-instance connectors let you link multiple accounts of the same type, and Macha auto-disambiguates the tools so each agent knows which account to use.

What's the safest first agent to build? A triage/classification agent or a draft-reply agent on a high-volume, low-risk ticket type like order status. Keep money- and account-changing actions in draft/approval mode until you've watched the agent perform.

Start your first agent

Setup is the easy part — Macha is built so the path from signup to a tested agent is measured in minutes, not weeks. Start a 7-day free trial, no credit card required, run the guided setup, connect your helpdesk, and ship your first agent today. The Getting Started docs have the full reference if you want to follow along screen by screen.

Written by Abbas (Customer Support & AI, Macha) · Reviewed by Ankeet Guha (Co-founder & CTO) · Published 2026-06-24 · Last updated 2026-06-24.