Live Build: Automate LinkedIn Engagement without looking like a bot - Part 1

Engagement grows reach. Done badly, it gets you flagged. In this build I create a LinkedIn engagement workflow that looks human and runs on rails. It pulls a predefined list, batches activity, fetches posts via Unipile, skips reposts, checks if you already commented, then uses an AI agent to write short, relevant comments and add reactions. Airtable tracks states like complete, engage, first delay and second delay so you never hit the same profile twice in a day.

What you will learn

How to schedule engagement windows that align with your posting times

Limiting and randomising volume to avoid suspicious spikes

Pulling provider IDs and posts with Unipile

Skipping reposts and throttling API calls to mimic human pace

Detecting whether you already commented before generating a new one

Writing concise AI comments that sound like you

Updating Airtable statuses to manage delays and prevent duplicates

Stack used

n8n for orchestration

Airtable for lists, states and delays

Unipile API for LinkedIn profiles, posts and comments

Your LLM of choice for comment generation

00:00 Why engagement needs guardrails
01:05 Scheduling strategy: days, windows, randomness
02:15 Build the Engage list and states in Airtable
03:50 Batch limits to keep activity human
05:20 Extracting LinkedIn identifiers (profile slug)
06:35 Unipile setup and authentication
07:50 Fetch profiles → provider IDs
09:05 Get posts with pacing and batching
10:10 Filter out reposts
11:00 Pull comments and pick the right IDs
12:10 “Have I already commented” code node
13:30 Airtable updates: complete, engage, first/second delay
14:40 AI comment agent: persona and prompt skeleton
16:10 Word limits, tone, and memory behaviour
17:10 Reactions vs comments: when to use each
18:00 Safeguards: daily caps, retries, backoff
19:10 Logging and error handling in n8n
20:10 Test run with a 1-record sandbox
21:00 Rolling delays explained (first vs second)
22:00 Edge cases: private profiles, 100-comment posts
23:00 Metrics to track: replies, profile views, CTR
24:00 Optional add-ons: latest-post only, time-of-day targeting
25:00 End-to-end run-through
26:00 Common failures and quick fixes
27:00 Roadmap: auto-DM handoff and CRM sync
27:40 Wrap up and next steps

Видео Live Build: Automate LinkedIn Engagement without looking like a bot - Part 1 канала Oliver Allen