Kavela vs Zapier

1. Building an automation

How Zapier does it

The usual way to build a Zap is the editor: choose a trigger app and event, add action steps, and map fields from earlier steps into later ones ^{2, 8}.

Copilot does much of that from a description. It drafts a trigger-and-actions outline, and in its default Auto-build mode fills in the apps, events, connections and field values; an 'Ask as you build' mode waits for your confirmation at each suggestion ². It picks an existing connection or asks you to connect an account, lists the tasks it cannot do for you so you can finish them, and you click Publish to turn the Zap on ².

Next Gen Zaps go further. After you set up Zapier MCP and a build skill, you describe the workflow in Claude, ChatGPT or Cursor, and in Zapier's words, 'your MCP client chooses the right app connections, wires up the steps, and deploys the workflow to Zapier for you' ³. The workflow is TypeScript code, and it runs in Zapier on its trigger or schedule without a chat window open ³. It is early access: you need a connected account for each app first, Zapier asks you not to run your most sensitive workflows through it yet, and Claude can take 3 to 12 hours to refresh its tools list after setup ³.

How Kavela does it

In Kavela you start in a conversation. You tell Kav what you want, in the workspace chat or in Telegram, the way you would brief a colleague: when a new order comes in, check the customer's history and flag the ones that need a personal reply. Kav sets the automation up, connects the apps it needs or asks you to through an Approvals card, sets the trigger and runs it.

Next Gen Zaps show that describing a workflow in a chat and getting it deployed with a trigger is no longer unusual ³. The real difference is how far the agent goes. Kav also sets up the connections you have not made yet, asking you only through a card when it needs you, runs the work on your own model plan, and hands the steps that need judgement to an agent, so there is no list of leftover tasks for you to finish.

Every step you finish by hand is a step you have to learn; the fewer there are, the sooner the work runs.

2. Triggers and schedules

How Zapier does it

Most Zapier triggers poll: Zapier checks the app for new data every 15 minutes on Free, every 2 minutes on Professional and every minute on Team and Enterprise ⁴. Instant triggers receive a webhook from the app as soon as something happens ⁴, and webhooks need a paid plan ¹.

Schedules and webhooks are also how agents that move into AI by Zapier steps get started, since a chat trigger has no direct equivalent there yet ¹¹. Email by Zapier gives a Zap its own @zapiermail.com address, and mail sent to it triggers the Zap, with a 10 MB limit and a note that delays may occur ¹³. Next Gen Zaps run on their trigger or schedule and can wait for a manager's reply before they carry on ³.

How Kavela does it

Kavela automations run on a schedule or on an event, such as a webhook or a merged pull request. You say when, in plain words, and Kav sets the trigger. Each automation can be limited to an active window with a start and an end date, so work tied to a launch or a campaign stops when it ends.

Each run happens in the agent's own cloud computer, which starts when the work starts and sleeps when it stops. The workspace's files persist between runs, so tomorrow's run starts from today's output. There is no cap on how many are switched on at once.

A trigger set in a sentence, with an end date that switches it off, keeps automations from outliving their purpose.

3. Your own model plan

How Zapier does it

Every AI step in Zapier is billed in tasks, from the same pool as every other step ¹. On Zapier's rates page, an AI by Zapier step costs 1 task on the Standard tier, 3 on Advanced and 5 on Premium, and each tool call the step makes costs the same again; Standard cannot use tools ⁵. Tool-using steps need Advanced, Premium or your own model, and are not on the Free plan ⁷.

With Bring your own model, a step costs 1 task and each tool call 1 task, and the model runs on your own AI provider account, connected with API credentials; the supported providers are OpenAI, Anthropic, Google Gemini, Azure OpenAI and Amazon Bedrock ^{5, 6}. The docs describe no way to bill AI steps to a ChatGPT or Claude consumer subscription ⁶. A Next Gen Zap built from Claude or ChatGPT uses that chat app for the building conversation; once deployed it runs in Zapier, and it will be billed in tasks after general availability ³.

How Kavela does it

Each Kavela agent runs on the plan you choose for it. With your own Claude plan, the unmodified Claude Code runs inside the agent's own cloud computer and you sign in to it yourself, which is the form Anthropic's terms describe for platforms ¹⁴. With a ChatGPT plan, the agent runs Codex instead, and anyone with neither uses Kavela's included Kav AI usage.

The choice is per agent, so one automation can run on Claude and another on Codex. The AI work in your automations draws on subscriptions you already pay for, with no provider account or API key to set up.

If you already pay for Claude or ChatGPT, your automations can run on that plan.

4. Work that needs judgement

How Zapier does it

Agent work in Zapier now lives in the AI by Zapier step: a prompt, a set of tools the model can call (app actions, knowledge sources and 'Browse the web'), a model tier and structured output fields, with the model deciding when to call a tool ^{7, 10}. A run is limited to 75 tasks by default, which you can raise to 500, and a run that crosses the limit pauses for a person ^{7, 11}. Where one agent used to call another, Zapier maps the setup onto Sub-Zaps ¹¹.

For email, Zapier's Support Email Agent template drafts customer replies from your knowledge base ¹⁵. For the web, 'Browse the web' lets a step search and visit sites ⁷, and the standalone Zapier Agents product, still sold during the migration, lists web browsing and a Chrome extension ¹. The help pages for AI by Zapier describe no agent that signs in to a web app and clicks through it to test it, and no lead agent that plans work across a team ^{7, 11}.

How Kavela does it

In Kavela, a step that needs judgement is work an agent does, with the tools a person would use. Each agent has its own cloud computer with a shell, files, git and a browser. It can read a customer's email, work out what they are asking and write the reply, or sign in to your app in its browser, go through the checkout and report what broke.

The work belongs to a standing team. Kav, the lead agent, plans the job, hands each part to the right worker agent, follows up and brings back the result, and every task sits on one calendar with its start time, due time and live state. If no worker fits, you describe the job and Kav builds one that follows that process.

The more a job depends on reading and deciding, the more it helps to hand it to an agent with its own computer and a team around it.

5. Connecting your tools

How Zapier does it

Zapier's catalogue lists over 9,000 apps ¹. You connect an account from the App Connections page or with a Sign in button in the Zap editor, which opens the app's own sign-in window, and Team plans can share connections across the team ^{1, 8}.

Copilot reuses a matching connection or asks you to connect one, and Next Gen Zaps need a connected account for each app before you start ^{2, 3}. Zapier also runs an MCP server that exposes its app actions to AI clients, at 2 tasks a call, while the AI step's tools article lists no way for a step to use another MCP server ^{5, 7}. Email by Zapier's address exists to trigger Zaps, and the docs do not describe an agent using it to sign up for services ¹³.

How Kavela does it

Kavela connections belong to the workspace: connect a service once and every agent can use it. A service can be connected by OAuth sign-in, as an MCP server, with an API key, with custom secrets, or by signing in to it in a live browser you control. Passwords and keys go into the card, never through the model.

You can also leave it to the agent. With Let Kav set it up, the agent reads the service's documentation, works out the right way to connect it and does the setup. If there is no account yet, it creates one, using the workspace's own receive-only inbox to read the verification email.

A large catalogue helps when the app is in it; an agent that can read a service's documentation and set it up helps when it is not.

6. What it needs from you, and what it delivers

How Zapier does it

An AI by Zapier step can require approval before a tool runs; the setting is off by default. When it applies, the step shows as Delayed, you get an email with a link, and you approve or reject in the run's Activity tab ⁷.

For approvals elsewhere in a workflow, the Human in the Loop app pauses a run until reviewers approve, decline or edit, notifies them by email, Slack or another Zap, and on a timeout can skip and continue or end the run. Reviewers need a Zapier account, on Pro accounts requests can only go to yourself, and it is a premium app that is not on the Free plan ⁹.

Results show in Zap History, which lists the tools called, inputs, outputs, model tier and tasks used in each run ¹⁰, and go to Zapier Tables or any connected app ¹. The docs describe no single inbox that gathers approvals from every Zap ⁹.

How Kavela does it

Kavela collects everything your agents need into one Approvals inbox for the whole workspace. Each request is a typed card you answer where it is: connect an app, sign in to a site in a live browser, approve an action before it goes out, choose between options, or let an agent know the email it was waiting for has arrived. Other work carries on while a card waits.

What agents produce arrives as deliverables attached to the task that made them, from documents and reports to sites and files, listed under Delivered and opened in one click.

When every request lands in one inbox, checking on ten automations takes as long as checking on one.