Make is a strong visual starting point for connecting the trigger, filters, destination, and error route.
Choose the smallest option that solves your problem
Use only the tools you need. Complete the basic task before adding more features or automation.
Capture, classify, and route incoming work
Turn a form, email, or request into a structured task with the right owner and context.
Run it in this order
- 1
Collect a week of examples and define the smallest useful set of categories.
- 2
Build the trigger and destination without AI, then add classification as one replaceable step.
- 3
Send uncertain cases to a review queue and alert a person when the workflow fails.
Tools to use
Choose only what you needUse ChatGPT interactively to design and test the categories before paying for or wiring an API model into the workflow.
A sheet is a simple human review queue: people can see the original request, correct the category, and mark the next action.
Turn approved source material into a reviewable draft
Create summaries, briefs, or internal updates from known documents without letting the model invent the source of truth.
Run it in this order
- 1
Define the approved source folder and the exact output template.
- 2
Generate a draft that preserves source references and marks missing information.
- 3
Route it for review, then capture corrections so the template improves over time.
Tools to use
Choose only what you needNotebookLM is useful for understanding and summarizing a controlled source set before automation is introduced.
ChatGPT can help turn the desired output into a stable structure, checklist, and reviewer rubric.
Make can watch the source, create the destination item, and notify the reviewer without hiding the workflow in code.
Automate a repetitive developer loop
Use a local coding agent for bounded repository tasks and keep tests, diffs, and deployment approval explicit.
Run it in this order
- 1
Write the acceptance test and file boundary before asking an agent to edit anything.
- 2
Run in a branch or disposable workspace and require a diff plus test output.
- 3
Keep merge and deployment as separate human-approved actions.
Tools to use
Choose only what you needGemini CLI is a practical free-first terminal agent for repository work when permissions and scope are explicit.
GitHub Models can compare prompt behavior before a workflow is tied to one production model.
Make can connect the finished artifact to an issue tracker, review channel, or approval form without giving the model deployment access.
Three rules that prevent wasted work
Make failure visible
Every automation needs an owner, an error route, and enough context to replay the failed item.
Limit authority
Drafting and classification are safer first targets than sending, deleting, purchasing, or publishing.
Measure the loop
Track successful runs, corrections, and minutes saved. Remove automations that create more review than work.
Free does not mean unlimited
Plans change. Check these official pages before choosing a tool for important work.