Batch at the input boundary rather than splitting the spreadsheet manually: in Google Sheets Get Row(s), turn off Return All and fetch a small page (for example 25 rows) using a stable row ID or offset, then process that page through Loop Over Items with Batch Size 1–10. Connect the loop output back to the loop node and only aggregate after it finishes; write a processed flag or cursor so the next run resumes instead of loading the whole sheet. If the AI or enrichment call is the real RAM spike, also cap n8n concurrency and add a short Wait between batches.

For this mix, I’d separate collection from analysis: use the appropriate actor or API per source, then normalize every item to source, canonical URL, author, timestamp, text, and engagement before sending it to a classifier. Dedupe on canonical URL plus a normalized-text hash, then label sentiment, topic, and intent with a cheap model and reserve a stronger model for low-confidence rows. In n8n, keep raw JSON in object storage and write only normalized rows to Postgres or Supabase, with a cursor per source so retries do not re-scrape everything. Treat X and forum rate limits as a design constraint—back off on 429s instead of increasing concurrency.

For a DKIM generator workflow, first execute the node with a hard-coded domain and selector and inspect the output before wiring the rest of the template; expressions that resolve to an empty domain or include `https://` are a common failure. Make sure the private key stays multiline (use an n8n credential or environment variable rather than pasting it through a JSON field), then publish the returned public key at `selector._domainkey` in DNS. Finally, verify the TXT/CNAME lookup externally and allow propagation—generating the key alone will not make mail pass DKIM.

I’d isolate the connection with an n8n HTTP Request node first: use POST, send `Authorization: Key <FAL_KEY>` and `Content-Type: application/json`, and match the JSON body to the specific fal model’s input schema. Queue-based models return a request ID, so poll the status/result endpoints instead of expecting the image or output in the first response. Also paste the key into a credential without quotes or trailing spaces, then run one hard-coded test prompt before adding expressions from earlier nodes.

You’re not missing a separate Google calendar subscription here—the community calendar is the source for AIA events, while the Lead Gen Insiders calendar is separate. I’d keep the Calendar tab bookmarked and enable event notifications so new sessions show up without having to check the feed manually.