Maito vs Tasklet

Is Tasklet the same as Maito?

No. Tasklet is a workspace of persistent AI agents that a team creates and manages in Tasklet's web and Mac app. Maito is one AI teammate your whole company works with in the Slack threads and AI assistants where the work comes up.

Both do business work in connected tools, remember what they learn, and run on schedules and webhooks. With Tasklet, the team goes to Tasklet. With Maito, the agent joins the conversation and takes a product change all the way to a tested pull request. Maito costs $149 per workspace per month plus your AI provider's usage; Tasklet bills credits per organization, from $25 a month.

What is Tasklet, exactly?

Tasklet is a platform for persistent AI agents that do business work, run automations, and build small apps, and keep running in the cloud after you close the app.

You create an agent, connect its tools, and start threads with it. Agents run on schedules, webhooks, incoming email, and app events, and connect to apps such as Gmail, HubSpot, Salesforce, Notion, Stripe, Zendesk, and Slack. Paid plans include an agent browser, and you choose models from Anthropic, OpenAI, Google, and open-source labs for each thread.

Sources: Tasklet, Tasklet pricing

So I'd set up a new Tasklet agent for each job?

No. One Tasklet agent handles many jobs in separate threads. You create another agent when the access, role, client, or sensitivity needs its own boundary.

Threads share their agent's instructions, connections, knowledge, and memory. Agents start private and can be shared with organization members, and sharing gives them the agent's threads, connections, and data.

In Maito, the boundary sits at the conversation and the connection instead: shared threads are visible to the people in them, DMs belong to one person, and each connection is either personal or shared with the workspace.

Sources: Tasklet guide, Tasklet teams FAQ

Does Tasklet write code?

Yes. Tasklet builds instant apps, has a sandboxed command line, and its GitHub tools read repository history, Actions logs, and pull request reviews and take approved workflow or merge actions.

That makes Tasklet good at internal tools and at working with what's already in GitHub.

Maito's coding work changes your product's repository. Each task gets its own sandbox and branch, runs your checks, is tested in a browser with a recording, and ends in a pull request your team reviews.

Sources: Tasklet pricing, Tasklet changelog, Maito FAQ

And what is Maito?

Maito is one AI teammate your whole company works with in the same threads, for business work and changes to your product.

Your company names it and gives it a role and instructions; your team reaches it in Slack, Claude, ChatGPT, Cursor, Codex, Grok, and Muse. Anyone in an invited Slack channel can ask, without a Maito account. Business work runs in your connected tools. Each coding task gets a separate sandbox and finishes as a pull request with your checks.

Sources: How Maito works

How do Maito and Tasklet compare at a glance?

Both do business work in your tools and run it on a schedule. Maito works in Slack threads and AI assistants and takes product changes through to a tested pull request. Tasklet runs agents from its own app at a lower starting price.

What do Maito and Tasklet do with a request nobody planned for?

Maito takes it in the Slack thread where it comes up and can turn it into a recurring Loop on the spot. In Tasklet, someone opens a thread with the agent that has the right access.

#marketing

Priya10:03 AM

@Maito which customers used the new reports feature the most this month? Draft a case study invite for the top ten.

MaitoAPP10:09 AM

Here are the top ten by reports created, with the account owner for each. Three of them already left a review. The invites are drafted in the thread. Want me to run this every month and send the drafts to the account owners?

Example complete

One question became a finished draft and, with a yes, a monthly Loop, without leaving the conversation.

And what do Maito and Tasklet do when a customer reports a bug?

A Tasklet agent can start when a new ticket arrives and look at GitHub. Maito handles the whole bug in your repository, from the customer's report to a tested fix and the reply.

#support

Kenji1:22 PM

@Maito a customer can't upload a logo larger than 2 MB, but our help center promises 10 MB. Ticket #2290.

MaitoAPP1:34 PM

Reproduced. Video attached: the upload fails at 2 MB because the image service still has the old limit. PR #476 raises the limit to 10 MB and adds a test for an 8 MB logo. QA passed on staging. The customer reply is drafted below, with the date the fix goes live.

Example complete

Maito reproduces the bug, records a video of it, finds the cause in your code and logs, writes the fix and the tests, runs QA, opens the pull request, and drafts the reply. Kenji stays in the thread the whole time.

What do Maito and Tasklet cost?

Maito costs $149 per workspace per month with unlimited people, plus your AI provider's usage and any cloud credits beyond the included $20. Tasklet starts at $25 per organization per month for 10,000 credits, with unlimited members.

Tasklet spends credits on models, browsing, and building apps, and consumption grows with model choice, context size, and how often agents run. Maito's subscription doesn't grow with people or tasks; model usage shows up on your own provider account, and coding sandboxes and web searches beyond the included $20 use purchased credits.

Sources: Tasklet credit guide, Maito pricing

When is Tasklet enough?

Tasklet is enough when a few business agents managed from its app cover the work, and the lowest starting price matters more than having the agent in Slack threads.

So should you choose Maito or Tasklet?

Choose Maito if you want one AI teammate your whole company asks for anything in Slack and its AI assistants, including tested changes to your product. Choose Tasklet if a few business agents managed from its app cover what you need at the lowest price.

Try it on the next request someone drops in Slack, the kind nobody would have written up as an automation. See which one gets it done with less setup.