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Set up your first
Workspace.

More clients. Same team.

One Workspace brings a client’s Context, Skills and approved tools together for your AI agents.

Create & connect, add the client’s Context, activate Ollie and assign the right accounts. Use the Custom API Setup Skill for additional compatible services. Then send a small first task, inspect its result and use Routines or authorized email requests for repeatable work.

Recorded October 10, 2026 · 7:10 · Six chapters · English captions

Read the video transcript

Welcome to Outloop. In the next few minutes, we'll create your first Workspace, connect a client's advertising accounts, use your AI agent to connect a new service, and give Ollie its first real task. We'll also show how Ollie can pick up new requests automatically, so you don't have to start every task yourself. I'll show you where to click, what to choose, and how to know it's working. More clients. Same team. Everything starts with a Workspace. Think of it as one home for one client or project. In Outloop, click Create workspace. Give it a name, choose your AI environment, and click Create and connect. That's it. Outloop creates the local folder and prepares the instructions your AI agents need. Claude Code, Codex and Hermes can work with this environment. No separate Claude Cowork project or manual folder connection is needed. Now open the Workspace Context. This is where you keep the client's goals, key performance indicators, reference folders and working instructions. You can edit these yourself or ask an authorized agent to help you update them. Next, click AI Worker. Meet Ollie. Open Settings, choose the engine, select a Work owner and your Reviewers, and confirm their permissions. Once Ollie shows Active, you can give it work directly. Want Ollie to receive tasks by email too? Select your connected mailbox, choose which clients or team members can send requests, and confirm activation. Now Ollie can pick up authorized requests without waiting for you to open a conversation. Let's give Ollie access to the services it needs. Here's where Outloop becomes especially useful for agencies. Let's start with Google Ads. Your agency connects its Google Ads manager account once. Now open another client's Workspace. Go to API Access and choose Assign shared key. Select your existing Google Ads connection. Enter the client's customer account ID, review the account access, and click Assign. Done. The new Workspace can now use that approved client account without reconnecting Google Ads or entering the credential again. Meta Ads works with the same idea. Select the existing agency connection, choose the client's advertising account, and assign it to the Workspace. You can do the same with eligible Google Analytics properties and other supported services. Need a separate credential for one particular client? Choose the dedicated option instead, and assign that connection only to the intended Workspace. Let's check Live Activity. Here you can see the service requests and the Workspace they belong to. That's the advantage. Connect your agency services once. Assign each client's accounts. Start working. What if the service you need isn't already in Outloop? That's where our Custom API engine comes in. Open the Outloop website's Skills Catalog. Find the Custom API Setup Skill, download the package, and return to Outloop. Open Skills, choose Import, and select the downloaded package. Set it up as a Global Skill. Now your configured Global Skill is available across your Workspaces, while each Workspace keeps its own approved service access. Let's try it. Open a conversation with your authorized agent and ask: "Connect PandaDoc to this Workspace using the Custom API Setup Skill." The agent researches PandaDoc's official documentation and prepares the connection, including its destination, authentication method and supported operations. When a credential is required, enter it directly into Outloop's secure form. Never paste it into the conversation. Outloop keeps the credential in your Mac's Keychain, and the agent works through the approved connection. Now let the agent validate the setup and perform a real test. Here is the result. The PandaDoc request succeeded, and we can inspect the matching record in Outloop. Your agent can also perform approved write operations when the service and Workspace permissions allow them. So you're not limited to a fixed list of integrations. With Outloop and the right Skills, your agent can help connect almost any service with a compatible API. And if you want a Skill customized for one client, open that Workspace's Skills and create or update its dedicated instructions. Now let's put everything together. Return to AI Worker and open Ollie. Type your request, and give Ollie the information it needs. Here, we share one week of synthetic campaign figures for a demo skincare brand, and ask for a short review and an action plan for our account manager. Click Send. Ollie opens the conversation and starts working. It works inside this Workspace, with its Context and Skills. Let's follow the result. Ollie calculated the return on ad spend for each channel, compared it with the target, and prepared an action plan. It also separates what the figures show from what still needs investigation. Ollie works within the access you approved. When an action needs a person's decision, it asks your Reviewer first. Once the work finishes, open Conversations. Here you'll find the request and the recorded outcome. You can return to Ollie, or open a new chat in Claude Code when you want a more hands-on session. But here's where Ollie becomes more than a chatbot. Open Routines. Routines let you automate work instead of requesting the same task again and again. You can schedule a weekly performance report, or use a supported trigger to start work when something happens. Remember the email requests we enabled earlier? That's a practical example. When an authorized client or team member emails a request, Ollie intake picks it up automatically. It works in this client's Workspace, uses its Context and approved tools, and starts the work. You don't need to open a chat or manually start every request. And you can follow the work and its results in Conversations. That's the difference between chatting with an AI and having an AI worker that keeps your business moving. And that's your first setup. One Workspace for each client. Approved advertising accounts you can assign in just a few clicks. Global and dedicated Skills that help your AI worker follow your processes. A Custom API engine that helps your agent connect more services. And Ollie, ready to handle direct requests, scheduled work and authorized incoming tasks using your client's Context and approved access. Your team stays in control of the important decisions, while Ollie handles more of the execution. More clients. Same team. Below this video, you'll find the step-by-step instructions, Skills Catalog, full Custom API walkthrough and detailed connector guides. Welcome to Outloop.

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Current setup footage uses DEMO 018. PandaDoc evidence includes labelled September Sandbox footage; the account assignment and example IDs are illustrated. See what’s recorded and what’s illustrated.

What you’ll set up

One client or project, one Workspace. This guide takes you from an empty Workspace to approved tools and a first task with Ollie.

  1. Have Outloop installed and choose the client or project you want to set up.
  2. Keep the client’s goals, working instructions and relevant account IDs ready. Use demo data if you are practising.
  3. Start with a small request you can check. Expand access and recurring work after the first result is verified.

Check before continuing

You know which client this Workspace belongs to and what its first task should achieve.

Watch chapter 0: What you’ll set up 0:34
Read the video transcript

Welcome to Outloop. In the next few minutes, we'll create your first Workspace, connect a client's advertising accounts, use your AI agent to connect a new service, and give Ollie its first real task. We'll also show how Ollie can pick up new requests automatically, so you don't have to start every task yourself. I'll show you where to click, what to choose, and how to know it's working. More clients. Same team.

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Create a Workspace and activate Ollie

Create & connect prepares the local folder and agent instructions. Add the client’s Context, then configure the AI worker that will use it.

No separate Claude Cowork project or manual folder connection is needed.

  1. Choose Create workspace. Enter a name, choose your AI environment, then select Create & connect.
  2. Open Workspace Knowledge → Context. Add the client’s goals, KPIs, reference folders and working instructions.
  3. Open AI Worker → Ollie → Settings. Choose the engine, select a Work owner and Reviewers, and confirm their permissions.
  4. Check that Ollie shows Active before sending work.
  5. For email requests, select a connected mailbox. Under Requests by e-mail, allow the intended clients or team members to request work, then confirm activation.

Check before continuing

The Workspace is created, its Context describes this client, and Ollie is Active. Email intake is optional and limited to the people you authorize.

Watch chapter 1: Create a Workspace and activate Ollie 1:21
Read the video transcript

Everything starts with a Workspace. Think of it as one home for one client or project. In Outloop, click Create workspace. Give it a name, choose your AI environment, and click Create and connect. That's it. Outloop creates the local folder and prepares the instructions your AI agents need. Claude Code, Codex and Hermes can work with this environment. No separate Claude Cowork project or manual folder connection is needed. Now open the Workspace Context. This is where you keep the client's goals, key performance indicators, reference folders and working instructions. You can edit these yourself or ask an authorized agent to help you update them. Next, click AI Worker. Meet Ollie. Open Settings, choose the engine, select a Work owner and your Reviewers, and confirm their permissions. Once Ollie shows Active, you can give it work directly. Want Ollie to receive tasks by email too? Select your connected mailbox, choose which clients or team members can send requests, and confirm activation. Now Ollie can pick up authorized requests without waiting for you to open a conversation. Let's give Ollie access to the services it needs.

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Add a client’s ad accounts

Connect once, assign each client. Reuse an eligible agency connection while keeping each Workspace’s approved client accounts explicit.

  1. Select the intended client’s Workspace. Open API Access → Assign shared key.
  2. For Google Ads, choose the existing agency connection and enter the client’s customer account ID. Review the account access, then choose Assign.
  3. For Meta Ads, choose the existing agency connection and the client’s advertising account. Assign it to this Workspace.
  4. For an eligible Google Analytics connection, use the client’s GA4 property ID. Check the selected property before assigning access.
  5. When a client needs a separate credential, use the dedicated option and choose Only this workspace. Enter the credential in Outloop’s secure form.
  6. Inspect Live Activity after a real request. Check the service, Workspace and result; storing a credential or assigning it is not proof that a provider operation succeeded.
Concept illustration: shared Google Ads, Meta Ads and Google Analytics connections are assigned to separate synthetic client Workspaces.
Connect once, assign each clientConcept illustration · synthetic Workspaces. Logos belong to their owners. Approved access and human review apply.

In the video, the Assign click and example IDs are animated on a real screenshot. No accounts were assigned during that capture.

Check before continuing

Each connection is assigned to the intended client account or property. A real request has a matching result in Live Activity.

Watch chapter 2: Add a client’s ad accounts 1:15
Read the video transcript

Here's where Outloop becomes especially useful for agencies. Let's start with Google Ads. Your agency connects its Google Ads manager account once. Now open another client's Workspace. Go to API Access and choose Assign shared key. Select your existing Google Ads connection. Enter the client's customer account ID, review the account access, and click Assign. Done. The new Workspace can now use that approved client account without reconnecting Google Ads or entering the credential again. Meta Ads works with the same idea. Select the existing agency connection, choose the client's advertising account, and assign it to the Workspace. You can do the same with eligible Google Analytics properties and other supported services. Need a separate credential for one particular client? Choose the dedicated option instead, and assign that connection only to the intended Workspace. Let's check Live Activity. Here you can see the service requests and the Workspace they belong to. That's the advantage. Connect your agency services once. Assign each client's accounts. Start working.

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Connect almost any supported API with your AI agent

If the service you need isn’t in Outloop yet, import the Outloop Custom API Setup Skill once as a Global Skill and ask your agent to connect it. Compatibility and available operations depend on the provider and your approved access.

  1. Open the Skills Catalog and download the Outloop Custom API Setup package.
  2. Return to Outloop → Skills → Import skills. Select the downloaded package and import it as a Global Skill.
  3. In a conversation with your authorized agent, name the service and ask it to use the Custom API Setup Skill.
  4. The agent researches the provider’s official documentation and prepares the destination, authentication method and supported operations.
  5. When prompted, enter the credential directly in Outloop’s secure form, never in the conversation. Outloop stores it in your Mac’s Keychain.
  6. Ask the agent to validate the setup and run a small, real test. Inspect the matching provider operation in Outloop before relying on the connection.

Ask your agent to connect a service

Connect PandaDoc to this Workspace using the Outloop Custom API Setup Skill. Research the official documentation, prepare the connection and run a small approved test. When a credential is required, guide me to enter it in Outloop’s secure form. Never ask me to paste it into this conversation. Report the matching provider operation and any remaining limitations.

Concept illustration: an AI agent researches and prepares a PandaDoc Custom API connection; a person enters the key in Outloop’s secure form, then the agent tests the approved operation.
Your agent prepares it. You enter the credential.Concept illustration · synthetic Workspaces. Logos belong to their owners. Approved access and human review apply.

Check before continuing

The agent can use a verified provider operation through this Workspace’s approved connection. A Global Skill can be reused; it does not share one client’s service access with another.

Watch chapter 3: Connect more services with your agent 1:42
Read the video transcript

What if the service you need isn't already in Outloop? That's where our Custom API engine comes in. Open the Outloop website's Skills Catalog. Find the Custom API Setup Skill, download the package, and return to Outloop. Open Skills, choose Import, and select the downloaded package. Set it up as a Global Skill. Now your configured Global Skill is available across your Workspaces, while each Workspace keeps its own approved service access. Let's try it. Open a conversation with your authorized agent and ask: "Connect PandaDoc to this Workspace using the Custom API Setup Skill." The agent researches PandaDoc's official documentation and prepares the connection, including its destination, authentication method and supported operations. When a credential is required, enter it directly into Outloop's secure form. Never paste it into the conversation. Outloop keeps the credential in your Mac's Keychain, and the agent works through the approved connection. Now let the agent validate the setup and perform a real test. Here is the result. The PandaDoc request succeeded, and we can inspect the matching record in Outloop. Your agent can also perform approved write operations when the service and Workspace permissions allow them. So you're not limited to a fixed list of integrations. With Outloop and the right Skills, your agent can help connect almost any service with a compatible API. And if you want a Skill customized for one client, open that Workspace's Skills and create or update its dedicated instructions.

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Your first real piece of work

Give Ollie a clear request, inspect the result in Conversations, then turn repeatable work into a Routine.

  1. Open AI Worker → Ollie. Describe the outcome you need and supply the relevant information. Keep the first request bounded and easy to review.
  2. Choose Send. Ollie starts a conversation using this Workspace’s Context, Skills and approved tools.
  3. Open Conversations to inspect the request and recorded outcome. Check calculations and supporting evidence before using the result.
  4. For recurring work, open Routines. Choose a schedule or supported trigger and define what should happen in this Workspace.
  5. If you enabled email requests, Ollie intake can pick up an authorized sender’s request. Follow the resulting work and outcome in Conversations.

A small first task

Review these synthetic weekly figures for Luma & Leaf. Google Ads: spend $1,000, attributed revenue $3,200. Meta Ads: spend $800, attributed revenue $2,000. Target ROAS: 3.0. Calculate each channel’s ROAS, compare it with the target and draft a short action plan for our account manager. Separate what these figures show from what needs investigation. Do not change campaigns or send messages.

Luma & Leaf figures are synthetic demo data. ROAS is calculated from those inputs; it is not a claim about a live campaign’s results. A Reviewer decision is described in the narration but is not demonstrated in this recording.

Check before continuing

You can find the request, understand the returned work and verify the result. A Routine or authorized email intake provides a repeatable way to start the next task.

Watch chapter 4: Your first real piece of work 1:52
Read the video transcript

Now let's put everything together. Return to AI Worker and open Ollie. Type your request, and give Ollie the information it needs. Here, we share one week of synthetic campaign figures for a demo skincare brand, and ask for a short review and an action plan for our account manager. Click Send. Ollie opens the conversation and starts working. It works inside this Workspace, with its Context and Skills. Let's follow the result. Ollie calculated the return on ad spend for each channel, compared it with the target, and prepared an action plan. It also separates what the figures show from what still needs investigation. Ollie works within the access you approved. When an action needs a person's decision, it asks your Reviewer first. Once the work finishes, open Conversations. Here you'll find the request and the recorded outcome. You can return to Ollie, or open a new chat in Claude Code when you want a more hands-on session. But here's where Ollie becomes more than a chatbot. Open Routines. Routines let you automate work instead of requesting the same task again and again. You can schedule a weekly performance report, or use a supported trigger to start work when something happens. Remember the email requests we enabled earlier? That's a practical example. When an authorized client or team member emails a request, Ollie intake picks it up automatically. It works in this client's Workspace, uses its Context and approved tools, and starts the work. You don't need to open a chat or manually start every request. And you can follow the work and its results in Conversations. That's the difference between chatting with an AI and having an AI worker that keeps your business moving.

Download English captions

Your first setup

Your first setup is complete when one Workspace has useful Context, the right approved connections and a result you have checked.

  1. Confirm that the Workspace belongs to the intended client and its Context is useful and current.
  2. Check the assigned advertising accounts and any Custom API test results.
  3. Keep shared processes in Global Skills and client-specific instructions in that Workspace’s Skills.
  4. Verify Ollie’s first result before adding more direct requests, Routines or authorized email requests.

Check before continuing

A clear working home for this client, with access and instructions ready for the next piece of work.

Watch chapter 5: Your first setup 0:50
Read the video transcript

And that's your first setup. One Workspace for each client. Approved advertising accounts you can assign in just a few clicks. Global and dedicated Skills that help your AI worker follow your processes. A Custom API engine that helps your agent connect more services. And Ollie, ready to handle direct requests, scheduled work and authorized incoming tasks using your client's Context and approved access. Your team stays in control of the important decisions, while Ollie handles more of the execution. More clients. Same team. Below this video, you'll find the step-by-step instructions, Skills Catalog, full Custom API walkthrough and detailed connector guides. Welcome to Outloop.

Download English captions

About this recording

The current dashboard footage was captured in DEMO 018 on October 10, 2026. The motion cards and the two live animations explain concepts; they are not additional product demonstrations.

  • PandaDoc key entry, verification, HTTP 200 and PDF evidence come from the September Sandbox walkthrough and are labelled on screen.
  • The Assign click and sample customer IDs are illustrated on a real screenshot. Nothing was assigned during capture.
  • Luma & Leaf campaign figures are synthetic. The recording does not demonstrate a Reviewer approval step.
  • The shared-key dialog close-ups are enlarged from screenshots and may look soft at full screen.

Questions along the way