How to Automate LinkedIn with OpenAI Codex CLI and Wonda

If you already use Codex for real work, LinkedIn becomes much easier once you stop treating it like a separate app.

That is the real appeal of this workflow.

You can research people, inspect recent posts, draft something from what you found, and publish only after review, all from the same environment where you already think and work. Wonda gives Codex the LinkedIn command surface. Codex handles the synthesis. You handle the judgment.

That is a better operating model than either extreme:

• pure manual posting with no research
• full autopilot social output with no human filter

Key Takeaways

• Codex is well suited to LinkedIn research, comparison, and draft generation.
• Wonda exposes LinkedIn search, profiles, posts, notifications, messages, and publishing as commands.
• The best results usually come from research-first drafting, not from raw prompt-to-post automation.
• Human review should stay on every public-facing write action.

Why Codex Is Useful on LinkedIn

Codex is good when the workflow involves:

• pulling structured information
• comparing several sources
• identifying the useful pattern
• turning that pattern into a draft

That maps well to LinkedIn.

The problem most people have on LinkedIn is not "I cannot type fast enough." It is:

• I do not know what angle to take
• I have not read enough of the conversation
• I do not want to sound like everyone else

Research solves a lot of that. Codex helps you do the research without wasting half an hour in browser tabs.

What Wonda Adds to the Workflow

Wonda gives Codex direct access to:

• wonda linkedin search
• wonda linkedin profile
• wonda linkedin posts
• wonda linkedin company
• wonda linkedin notifications
• wonda linkedin conversations
• wonda linkedin messages
• wonda linkedin post
• wonda linkedin like
• wonda linkedin send-message

That is what turns Codex from a writing assistant into an operator for the whole workflow.

Setup

Install Codex:

npm install -g @openai/codex
export OPENAI_API_KEY=sk-...

Install Wonda:

curl -fsSL https://wonda.sh/install.sh | bash
wonda auth login

Check the LinkedIn command group:

wonda linkedin --help

Then connect your session:

wonda linkedin auth set \
  --li-at-value "<li_at>" \
  --jsessionid-value "<JSESSIONID>"

wonda linkedin auth check

That is enough to start running the workflow.

Step 1: Research the People and Companies in Your Niche

Good LinkedIn posts are easier to write when you have actual context.

Start with prompts like:

Use Wonda to find founders, marketers, and operators posting about
AI agents, social workflows, and creator tools on LinkedIn.
Show me the people and companies that appear most relevant.

Under the hood:

wonda linkedin search "AI agents" --type PEOPLE -n 10
wonda linkedin search "social workflows" --type PEOPLE -n 10
wonda linkedin search "creator tools" --type COMPANIES -n 10

This gives you a quick market map instead of a vague sense of "stuff I saw in the feed."

Step 2: Inspect the Posts, Not Just the Profiles

Once Codex finds the right people, inspect recent posts:

wonda linkedin posts <vanity-name> -n 10

Then ask:

Compare these recent posts and tell me:
- what themes keep repeating
- which angles feel saturated
- which posts feel firsthand instead of generic
- what format seems to drive comments instead of just likes

This is where Codex becomes useful beyond drafting. It can help you see:

• what the market is already saying
• what format is overused
• what kind of specificity people actually respond to

That makes your own posts much stronger.

Step 3: Draft a Post From Real Research

This is the point where most people jump too early.

Do not ask Codex for a post before it has read anything. Ask after the research:

Based on the profiles and posts we just reviewed, draft a LinkedIn post
about using terminal-based AI workflows for marketing.
Make it sound like an operator note, not a pitch.
Use short paragraphs, first person, and no hashtags.

That usually gives you a much better first draft than a blank prompt.

You can tighten it further:

Keep it under 220 words.
Avoid filler words and generic business language.
End on a concrete takeaway, not an inspirational conclusion.

Step 4: Publish Only the Draft That Still Feels True

When the draft survives editing:

wonda linkedin post "..."

Or:

wonda linkedin post "..." --visibility ANYONE

The important thing here is not speed. It is selectivity.

Codex should make it easier to get to a sharp draft. It should not pressure you into publishing every draft it can generate.

Step 5: Use Codex for Notification and Message Triage

A clean LinkedIn workflow also includes follow-up.

Use:

wonda linkedin notifications -n 20
wonda linkedin conversations

Then ask Codex:

Summarize what needs attention from these notifications and conversations.
Separate:
- comments worth replying to
- messages that need a response
- noise I can ignore

That is one of the most practical uses of the workflow because it protects your attention after a post lands.

A Practical Workflow for One Person

If you are a founder, builder, or operator, a realistic weekly loop looks like this:

1. research a handful of people and companies in your niche
2. read 20-30 posts total
3. identify one observation worth writing about
4. let Codex draft two versions
5. edit one until it sounds like you
6. publish
7. use Codex to triage notifications the next day

That is enough to stay present without sounding like a content system.

What Still Needs Human Judgment

Voice

Codex can produce clean copy. It cannot fully own your public voice.

Relationship context

The same post can read differently to peers, customers, investors, and recruits.

Positioning

Not every active topic deserves your take.

Restraint

If the workflow makes it too easy to publish, build in more review rather than less.

FAQ

Is this mainly for drafting posts?

No. The research and comparison steps are just as important as the writing step.

Can Codex manage LinkedIn messages too?

It can help triage and draft, but relationship-sensitive messaging still benefits from strong human review.

Do I need to use LinkedIn's official API?

No. Wonda provides the LinkedIn command surface directly for this workflow.

What should I automate first?

Profile research and post analysis. That usually improves quality before it increases output.

Final Advice

The best LinkedIn automation is not more aggressive.

It is more informed.

If Codex and Wonda help you research faster, write more clearly, and follow up on the right things, the workflow will feel natural. If they make you sound like a synthetic content engine, the fix is not more automation. It is tighter judgment.

If you want the Anthropic version of the same workflow, read How to Automate LinkedIn Research and Drafting with Claude Code and Wonda.