Track · 19 lessons · 34 min
How-To Guides
Step by step tasks. Short, practical lessons that get one job done.
Lessons in this track
- 01
Role-Based Access: Projects, Roles and Permissions
Invite someone into your organization, put them on the right project, and give them a role that matches the job, then confirm it worked by running a workflow with their access.
Beginner2:13 - 02
Enterprise LLM Configuration and Model Cost Control
Connect a model provider to MagOneAI: name a config, store the API key in KeyVault, load the provider's models, set what each one is allowed to do, test it, and cap cost per token before you create it.
Beginner1:53 - 03
Secrets Management: Vault-Backed, Write-Only Keys
An API key pasted into a workflow travels wherever the workflow goes. Save it once into the vault instead, and from then on MagOneAI only ever shows a masked preview while workflows use it without seeing it.
Professional1:38 - 04
Enterprise Tool Integration with MCP Servers
Agents can converse, but they cannot search the web or send mail on their own. MCP servers give them tools. Connect the Outlook server over OAuth, read its tool schemas, and prove a call works before any workflow depends on it.
Beginner2:37 - 05
External MCP Servers: Bring Your Own Tools
The platform tools cover the common cases, but your business runs on more. If a system already has an MCP server, paste one HTTPS URL, add the headers it expects, and MagOneAI discovers its tools for you.
Professional1:34 - 06
OAuth Integrations: Tools That Act as the User
A shared service account can send an email, but not as you. OAuth lets a tool act on behalf of the person who signed in: register the OAuth app once for the organization, then each person connects their own account.
Professional0:56 - 07
Enterprise RAG: Creating and Tuning a Knowledge Base
Create a knowledge base, configure how it chunks your documents, attach it to an agent, and tune retrieval until the agent answers from your own content instead of guessing.
Beginner3:42 - 08
Building Your First Enterprise AI Workflow
Build the smallest useful workflow (Start, Agent, End) from an empty canvas: define an input field, give the agent a job, map data between nodes with the variable picker, and run it against a real question.
Beginner4:12 - 09
Agent Library: Standardized, Reusable Agents
Save a configured agent to the library once, with its instructions, tools, knowledge, model settings and output schema, then drop a copy into any later workflow instead of rebuilding it from blank.
Beginner1:05 - 10
Prompt Debugging and Execution Tracing
When an agent answers oddly, stop guessing. Open the execution and read the exact prompt that went out, every variable already filled in, alongside the raw output that came back.
Professional1:01 - 11
Test Cases: Regression Testing AI Workflows
You improved a workflow this morning. Did you also break it? Save test cases with the output you expect, run them all before every publish, and download the report.
Professional1:36 - 12
Version Control and One-Click Rollback
Your edits do not reach users until you publish. Label versions so they still mean something in three months, publish the one you want live, and roll back to a known good state in one click.
Professional1:09 - 13
Export and Import: Portable AI Workflows
Another team wants the workflow you built, in another project. Export it as one file, import it where it is needed, and MagOneAI tells you exactly what still has to be wired up.
Professional1:10 - 14
Scheduled Workflow Execution
A schedule is a trigger with the workflow's inputs already filled in, because there is nobody there to fill in the form. Set when a run happens, bake in the values it needs, and manage every schedule from one view.
Professional1:26 - 15
Exposing AI Workflows as Secure APIs
Create a scoped API key so an existing workflow can be called from your own systems, store the secret the one time it is shown, and revoke it cleanly when that integration retires.
Professional1:38 - 16
Hub Tour: Run Published Workflows Without Studio
The people who use a workflow are rarely the people who built it, and they should never have to see a canvas. In Hub, a published workflow is something you open, fill in and run.
Beginner1:12 - 17
Hub Inbox: Approve and Resume Paused Workflows
A workflow paused for approval is only useful if the approver can find it. The task lands in their Hub Inbox with the context they need, and one click carries the workflow on from where it stopped.
Beginner2:25 - 18
LLM Usage Quotas and Cost Governance
Usage is metered as it happens, not estimated. Set token limits at organization, project, use case or user level, see what enforcement looks like at run time, and handle the increase requests that follow.
Professional1:23 - 19
Single Sign-On: Microsoft, Google and Oracle
Another platform should not mean another password. With SSO your people sign in with the identity they already use at work, and a new joiner gets access on their first sign-in.
Professional0:41
