Automations: The Execution Pillar

TL;DR: Automations are the Execution layer of Workspace DNA — the third pillar alongside Memory (Projects) and Intelligence (Agents). They listen for events, run multi-step flows with branching, looping and filtering, call 11+ frontier models from OpenAI, Anthropic, and Google, plug into 100+ integrations across 10 categories, and write results straight back into your projects. AI agents can drive an entire flow as a step. Available on every plan from Free through Enterprise. Build your first automation →

What are Taskade Automations?

Taskade Automations are reliable, multi-step workflows that listen for an event, make decisions, and take action across your workspace and 100+ external services — without you lifting a finger. Every automation follows the same model: a trigger kicks off the flow, control-flow steps (branch, loop, filter, delay) shape the logic, actions do the work, and results get written back into your Projects so your workspace keeps learning.

Unlike standalone tools like Zapier or Make, Taskade Automations live inside the same workspace as your data and your AI agents. That means an AI agent can be a step in a flow, a flow can update the very project that triggered it, and a published Taskade Genesis app can use its automations as the live execution layer for end users.

The Execution Layer of Workspace DNA

Workspace DNA has four layers: Memory stores what your workspace knows, Intelligence decides what to do, Execution does it, and App UI surfaces it to users. Automations are the Execution layer — they take signals from Memory, ask Intelligence for judgment, and write results back into Memory in a continuous loop.

Read it as a loop, not a pipeline. Every automation run feeds new facts back into Memory, which gives your agents better context next time, which leads to smarter execution. That self-reinforcing loop is what makes a Taskade workspace feel alive instead of static.

Anatomy of an Automation

Every automation — from a one-step notifier to a 30-step revenue-ops pipeline — is built from the same primitives. A trigger kicks it off. Control-flow steps shape the logic. Actions do the work. Outputs land in your projects, in an external system, or in front of a user.

That's the entire mental model. Once you've built one automation, you've built them all — the only thing that changes is which trigger fires, which actions you chain, and where the data lands.

Triggers

Triggers are the "if this" half of an automation. They monitor your workspace and external services, and the moment a condition is met they kick off the flow. Taskade supports 20+ trigger sources spanning workspace events, schedules, inbound email, webhooks, forms, AI agent chats, and 15+ third-party services.

Full catalog: Automation Triggers

Actions

Actions are the "then do that" half. Once a trigger fires and your control-flow steps decide what should happen, actions are the steps that actually do the work — inside Taskade, with AI, on the open web, or in any of 100+ connected services.

Full catalog: Automation Actions

Branching, looping, filtering

Real workflows aren't straight lines. A new lead might need different handling depending on company size. A list of 50 transcripts needs the same step run 50 times. A noisy webhook needs to be filtered down to the events that actually matter. Taskade's automation engine handles all three with first-class control-flow steps.

• Branch routes the flow down different paths based on if/else conditions on any variable.
• Loop runs a sub-flow once for each item in an array — perfect for pairing with Find Task(s) or Find Row(s).
• Filter stops the flow unless data matches your conditions, so cheap checks happen first and expensive AI/integration steps only fire when they should.
• Delay pauses the flow for a duration or until a specific date — useful for follow-ups, waiting on approvals, and time-of-day sends.

Agents as steps in flows

This is the bridge between Intelligence and Execution. Any custom AI agent you've built can be dropped into an automation as a step — and once it's there, it brings its full toolkit with it: persistent memory, custom commands, 22+ built-in tools, and the ability to choose from 11+ frontier models from OpenAI, Anthropic, and Google.

Three action types let agents drive flows:

• Ask Agent — query the agent and use its reply as a variable in later steps. Great for classification, summarization, or "should I do X?" decisions.
• Run Agent Command — execute one of the agent's named slash commands with structured inputs. Great for repeatable specialist tasks.
• Ask Agent With Structured Output — force the agent's reply into a JSON shape you define so downstream steps (Branch, Update Custom Fields, integrations) can read it reliably.

Deep dive: Agent Actions in Automations and Taskade EVE Assistant for the workspace-wide assistant that can build automations for you.

Writing results back to Projects

This is what closes the Workspace DNA loop. An automation that only sends a Slack message is a one-shot. An automation that also writes its result back into the project that triggered it turns every run into new memory your workspace can use next time.

Use these workspace actions inside any flow to feed the loop:

• Add Task — append the result as a new task in a target project.
• Update Custom Fields — write status, score, owner, summary, or any structured field back onto the originating task.
• Create Project From Template — spin up a fresh project (e.g., onboarding, incident response) populated with the trigger's data.
• Add Knowledge to Agent — feed the run's output into an agent's persistent memory so future decisions get smarter.

The result: every successful automation run is also a learning event. Your projects get richer, your agents get more context, and the next run starts from a smarter baseline.

100+ integrations across 10 categories

Taskade Automations connect to 100+ services across 10 categories, all OAuth-secured and managed from a single Connections panel. You authenticate once per service, and any automation in your workspace can use it.

Real workflow example

Here's a flow you could build in under five minutes: when a support email lands in Gmail, an AI agent reads it and classifies severity, the flow branches on the result, and either way the outcome is written back into a Taskade project so the team has a single source of truth.

Notice how step 7 closes the loop — the automation writes back into the same project that the agent will read from on the next run. That's Workspace DNA in motion.

All Runs tab

The workspace-wide Runs tab in the sidebar lists every automation run across every flow in one place. Use it when you want a global view, not just one flow at a time.

• Failed-run badge in the sidebar tab so failures never hide
• Filter by status to focus on errors, retries, or completed runs
• Drill into any run for the full payload, action chain, and final result
• Cross-flow patterns become obvious when you see every run side by side

A failed-run health badge also shows up on each automation in the listing, so the same data is one click away from the per-flow History tab below.

Reliability & error handling

Automations run on a reliable workflow engine designed for production use. A few things you can count on:

• Retries on transient failures — network blips, API rate limits, and 5xx responses are retried automatically with backoff.
• Run history — every flow has a History tab showing each run, the data that flowed through each step, and any errors. Click ↻ to retry a failed run.
• Per-step inspection — hover any step in the History view to see its exact input and output variables.
• Manual retries — fix the underlying issue (bad credential, missing field) and retry without re-triggering the flow.
• Concurrency-safe — multiple runs of the same flow can execute in parallel without stepping on each other.
• Connection management — re-auth a single integration in one place; every automation that uses it picks up the new token.

See: Preview & Monitor Automations below for the History view walkthrough.

Pricing & AI credits

Automations are included on every Taskade plan. The differences between plans are run frequency, total run volume, and the AI credits available for steps that call agents or AI models.

AI-powered actions (Ask Agent, Generate with AI, Ask Agent With Structured Output, etc.) consume credits from your workspace pool. Non-AI steps — workspace actions, integrations, control flow — do not.

Common questions

Do I need to know how to code?

No. Every automation is built visually by adding triggers and steps from a dropdown. If you can describe the workflow in plain English, you can also let Taskade EVE or the AI Workflow Generator build it for you.

Can an AI agent decide what an automation does, not just run a single step?

Yes. With Agent-Powered Automations, an AI agent can sit at the top of a flow and decide which downstream steps to run based on the trigger data. It's the difference between hard-coded "if/else" and a flow that reasons about each input.

What happens when an automation fails?

The run is marked as failed in the History tab with the exact step and error message. You can fix the issue and click ↻ to retry, or set up a Slack/email notification step on the failure path so you hear about it immediately.

Can automations write back to the project that triggered them?

Yes — and they should. Use Add Task, Update Custom Fields, or Add Knowledge to Agent to feed results back into Memory. This is what closes the Workspace DNA loop and makes your workspace learn from every run.

Can I share an automation with my team or embed it on a website?

Yes. From the Automations tab, click ··· → Share on any flow to generate a public link or embed code. You can password-protect shared flows from the same panel.

Do automations run when my Taskade tab is closed?

Yes. Automations execute server-side on the reliable workflow engine. Your browser doesn't need to be open.

Can I use a Taskade Genesis app's automations as its live backend?

Yes. When you build a Taskade Genesis app, the automations attached to the app become its live execution layer — handling form submissions, payments, notifications, and any custom logic the app needs.

Where can I see what an automation actually did?

Open the flow and click the History tab. Each run is logged with full input/output data per step, success/failure status, and a one-click retry.

Related guides

• Automation Triggers — Full trigger catalog
• Automation Actions — Full action catalog
• Branch Action · Loop Action · Filter Data · Delay Action — Control-flow primitives
• Agent Action — Use AI agents as workflow steps
• AI Workflow Generator — Text-to-automation
• Automation Prompts — Prompt library for Taskade EVE-built automations
• Custom AI Agents — Build the agents that drive automations
• Taskade EVE Assistant — The workspace-wide assistant that can build automations for you
• Workspace DNA — How Memory, Intelligence, Execution, and App UI fit together
• Taskade Genesis — When automations become the execution layer of a published app

Deep reading

• Durable Execution for AI Workflows — why retries, timeouts, and idempotency matter more than model choice
• The Execution Layer Thesis — why AI without execution is a demo
• Stop Worshipping Prompts. Start Building Workflows — the core Taskade thesis on automation-first AI
• The 2026 Productivity Playbook — the hub for workflow-first operators