AgentUse

AI agent workflows

Start with the outcome.

Each tutorial maps the complete service chain, agent responsibilities, context, data, approval points, and creation prompt required to build a customized AgentUse workflow.

9 tutorials · tested prompts

Choose an outcome

01

Finance operations tutorial

Turn monthly invoice collection into an AgentUse workflow

Make the workflow explicit, prepare its context and data contract, then give a coding agent one prompt to create the right AgentUse agent—or small agent team—for your environment.

You get
A workflow map, context pack, data contract, approval policy, and one copyable prompt that creates and tests your AgentUse setup.
Time
20–30 minutes
CSV or spreadsheet
Gmail
Google Drive
Vendor portals
Output folder
02

SEO operations tutorial

Monitor weekly SEO changes with DataForSEO

For SEO teams that want monitoring without preparing exports by hand, this tutorial collects a controlled weekly crawl and ranking snapshot from DataForSEO, compares it with the prior run, and prepares the changes that need review.

You get
A weekly evidence pack containing the collected DataForSEO snapshot, a deterministic change set, and a cited journal of expected changes, new issues, ranking movement, and unknowns.
Time
40–60 minutes plus DataForSEO account setup
DataForSEO
Change log
Evidence journal
03

Engineering operations tutorial

Monitor the open-source dependencies your team relies on

For teams with a small set of business-critical libraries, this tutorial monitors only configured upstream repositories, compares new releases and advisories with internal usage, and prepares evidence-backed follow-up drafts.

You get
A viewable AgentUse artifact containing new releases, breaking changes, deprecations, security advisories, and maintenance signals tied to verified internal usage or clearly labeled inference, with related task-draft artifacts when action is warranted.
Time
35–55 minutes plus GitHub connection setup
GitHub
Internal repositories
Monitor state
Review artifacts
04

Project operations tutorial

Keep project tasks aligned with meeting decisions

For project leads who repeatedly translate meeting decisions into Notion, this tutorial builds a daily reconciliation that finds missing tasks, wrong owners, stale dates, and status conflicts without silently changing the project record.

You get
A viewable daily AgentUse artifact where every proposed Notion task or correction includes the exact meeting evidence, current project state, confidence, and required reviewer action.
Time
35–50 minutes plus connector setup
Google Drive
Notion
Alignment artifact
05

Reliability operations tutorial

Review production errors by customer impact each week

For engineering and support leads who need a defensible weekly error queue, this tutorial combines Sentry issue statistics with approved business context, distinguishes observed users from inferred impact, and prepares Linear-ready drafts without touching code or deployments.

You get
A viewable weekly AgentUse error-review artifact with affected-user counts, recurrence and regression evidence, explicit business-impact provenance, investigation gaps, and optional Linear issue proposals.
Time
35–50 minutes plus Sentry token setup
Sentry
Linear
Error review artifact
06

Product operations tutorial

Turn product feedback into a prioritized backlog

For product teams whose feedback is scattered across support conversations and call notes, this tutorial builds a weekly evidence pipeline that groups repeated problems, preserves customer segments and representative sources, and proposes backlog changes for review.

You get
A viewable weekly AgentUse backlog-review artifact where each theme links to deduplicated source evidence, affected segments, existing Linear coverage, scoring inputs, uncertainty, and an exact draft issue or update recommendation.
Time
45–60 minutes plus connector setup
Slack
Notion
Linear
Backlog review artifact
07

Customer support operations

Triage customer support email and draft grounded replies

For support teams whose shared Gmail volume requires repeated lookups across a Notion knowledge base and Linear issue tracker, this guide defines an hourly triage job that prepares a cited decision queue and reply drafts for human review.

You get
A viewable support queue where every in-scope thread has a classification, accountable owner, supporting knowledge or issue evidence, reply draft, uncertainty, and exact next review action.
Time
35–50 minutes after connectors are ready
Gmail
Notion
Linear
Draft write ledger
Support review artifact
08

Customer success operations

Prepare upcoming subscription renewal reviews

For customer-success teams managing subscriptions in Stripe and accounts in HubSpot, this guide defines a weekly renewal-readiness review that gathers the evidence before an owner decides what to do.

You get
A viewable renewal queue where each upcoming subscription has verified billing state, CRM ownership, recent approved correspondence, readiness gaps, uncertainty, and a dated next action.
Time
35–50 minutes after connectors are ready
Stripe
HubSpot
Gmail
Renewal review artifact
09

Reliability operations

Prepare evidence-backed incident postmortems

For engineering teams that review resolved incidents, this guide defines a repeatable evidence-collection and drafting job that preserves what each source proves and leaves root cause and action ownership to human review.

You get
A viewable postmortem draft with a sourced incident timeline, verified impact facts, deployment and issue context, separated facts and hypotheses, proposed follow-up work, and a complete collection receipt.
Time
40–60 minutes after connectors are ready
Sentry
GitHub
Slack
Linear
Postmortem artifact