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Building Your Personal AI Workflow

5 min read

Devops

Your workflow: incident triage → log analysis → runbook draft → postmortem outline. Chain the right tools.

Data Eng

Pipeline design → SQL generation → docs → data quality checks. One workflow, multiple AI touchpoints.

Building Your Personal AI Workflow

TL;DR

  • A workflow isn't "use ChatGPT sometimes." It's a repeatable sequence: trigger → tool → output → next step.
  • Start with one high-frequency task. Automate it end-to-end. Add more from there.
  • Different roles need different workflows. Copy a template and adapt.

An AI workflow is a habit, not a feature. It's "when X happens, I do Y with AI, then Z." Once you have a few of these, you stop thinking about "should I use AI?" — it's just how you work.

Step 1: Pick One Task

Don't try to AI-ify your entire job. Pick the single task you do most often that has a clear input and output.

Examples by role:

  • Developers: Code review, writing tests, refactoring, PR descriptions
  • Data people: SQL generation, pipeline design, data exploration
  • DevOps/SRE: Runbook creation, log analysis, incident summaries
  • Managers: Status updates, 1:1 prep, capacity planning drafts
  • Tech writers: Doc outlines, API reference drafts, tutorial structure
  • Support/Solutions: Response drafts, FAQ creation, solution proposals

Pick one. Make it concrete: "Every PR I open, I use AI to draft the description from the diff."

Step 2: Define the Sequence

Write it down. Literally.

  1. Trigger: What starts this? (e.g., "I've written code and am about to open a PR")
  2. Input: What do you feed the AI? (e.g., diff + ticket link)
  3. Prompt/tool: What do you ask for? (e.g., "Summarize changes, list risks, suggest reviewers")
  4. Output: What do you get? (e.g., draft PR description)
  5. Review & ship: What do you add/change before submitting?

If you can't write it, it's not a workflow yet.

Step 3: Choose the Tool(s)

Match the tool to the task:

Task TypeTool Examples
Code in IDECursor, Copilot, Claude Code
Quick Q&A, docs, summariesChatGPT, Claude (browser)
Multi-file code changesCursor Agent, Claude Code
Logs, traces, debuggingClaude, ChatGPT (paste + ask)
Spreadsheets, planningChatGPT, Claude

You don't need 10 tools. Start with 1–2. Add when you hit a limit.

Step 4: Iterate for a Week

Run your workflow for 5–10 instances. Note:

  • What worked?
  • What broke?
  • What did you have to fix every time?

Tweak the prompt. Add a step. Remove one. Workflows improve with use.

Step 5: Add a Second Task

Once the first workflow feels automatic, add another. Connect them if they chain (e.g., "after incident, run log analysis → then draft postmortem").

Sample Workflows by Role

Developer (PR flow): Trigger: PR ready. Input: diff + ticket. Tool: Cursor/Copilot. Output: description draft. Review: add business context, verify.

Manager (status update): Trigger: Friday EOD. Input: notes from the week. Tool: Claude. Output: draft update. Review: add nuance, remove anything sensitive.

Support engineer (case response): Trigger: New ticket with known pattern. Input: ticket + KB article. Tool: ChatGPT. Output: draft response. Review: personalize, verify accuracy.

# My PR Workflow (save this as a template)

## Trigger
I've written code and I'm about to open a PR.

## Steps
1. Select the changed files in Cursor
2. Open Cursor Agent (Cmd+L) and paste:
 "Summarize these changes for a PR description.
  Include: what changed, why, risks, and testing notes.
  Format: GitHub PR template with ## sections."
3. Review the draft — add business context, verify accuracy
4. Copy into GitHub PR
5. Ask Cursor: "Suggest 2-3 reviewers based on
 git blame for these files"

## Time saved: ~15-20 min per PR
## Quality: Better descriptions = faster reviews

Quick Check

What's the first step to building a personal AI workflow?

Do This Next

  1. Write your first workflow for one task. Use the 5-step structure. Run it 3 times this week.
  2. Share it (optional). If you have a teammate who does similar work, compare workflows. Steal their good ideas.