A RevOps Checklist for okki-go Configuration, Outreach Sequences, Email Verification APIs, and LinkedIn Automation

I run quality for the sales ops side of a B2B SaaS company. Every outreach sequence, LinkedIn automation config, and data integration we ship goes through me before it touches a customer. Roughly 200 items a year. In 2025 I rejected about 31% of first submissions—not because they were bad ideas, but because the config was sloppy, the merge fields were broken, the email verification API was wired in backwards, or someone bumped the okki-go npm package and the output format had already changed.

This is the 7-step version of the checklist we run before anything goes live. If you're in RevOps or sales ops and you're about to ship outreach tooling, read it top to bottom. The order matters.

Who this checklist is for

This is for teams who've already picked their tooling. I can't help you choose a vendor. What I can help you do is make sure your okki-go configuration, outreach sequences, email verification API, and LinkedIn automation setup don't fall apart in front of a customer or trip a spam filter.

Seven steps. Not glamorous. Useful.

Step 1: Freeze your okki-go configuration before anything else moves

Most teams treat okki-go configuration as an afterthought. The API key is in the environment variables, right? Wrong.

Here's what I lock down before I let anyone touch a sequence:

• Sending domain + unsubscribe endpoint. Both headers, no misspellings. I've seen a client silently drop their List-Unsubscribe header because of a typo in the config file. Took three weeks to catch.
• Per-mailbox rate limits. Not per-domain. They are not the same thing, and treating them like they are is how you burn a domain in a week.
• Merge field whitelist. If a field isn't on this list, it doesn't go out. Full stop.
• Retry and backoff settings. The defaults are almost always too aggressive for a cold list.

One thing I check on every review: how many active variables in this config are still on factory defaults? In my experience, if it's north of 40%, you're one bad send away from a mess.

It took me about three years and a couple hundred of these reviews to understand that a good okki-go configuration isn't a technical document. It's a contract about what you're promising. Every default is a decision somebody defaulted on your behalf.

Step 2: Upgrade the okki-go npm package with rollback baked in

"How to update the okki go npm package" stays high in search because it's the step that keeps breaking things. Here's what I've landed on after too many bad Tuesdays:

• Pin the version, not the range. Use ~ or exact. Stop using ^ on contact-critical packages.
• Commit the package-lock. Every time. No exceptions.
• Run the upgrade on a staging branch first—never in production, never on a Friday.
• Let the upgrade branch sit through one full send cycle before you touch a live sequence.

Someone warned me once that a minor version can change default output silently. I didn't listen. Then a Tuesday, 2,400 emails sat in inboxes with a broken placeholder for four hours. That's the whole story. Nothing dramatic. Just two thousand apologies drafted by hand.

Step 3: Treat every outreach sequence as a chain of quality gates

Most teams optimize subject lines. Fine. But the go/no-go decision lives somewhere else:

• Touch count. My ceiling is five across the whole sequence. I'll make an exception for manual touches. Automated? Five, and then you stop.
• Exit triggers. Reply, unsubscribe, tag, pause. Every single one has to be wired and tested.
• Merge field validation. Every field, on dummy data, before the sequence ships.
• Fallback on missing data. If the field is empty, does the lead drop out gracefully, or do you send "Hi ," to a VP of Sales?

The thing most people skip: an outreach sequence isn't just emails. It's a claim about what your brand is allowed to say. A broken placeholder isn't a bug. It's a poorly written promise.

Step 4: Read the email verification API documentation before you wire the data in

Translated: read the API documentation for email verification before you connect it to production data. In that order. For a reason.

Where integrations break:

• Status isn't binary. Valid, invalid, risky, unknown, catch-all—these are five different states. Don't treat them like one.
• Rate limits live in the docs, not the pricing page. Burst limits especially.
• Some providers price retries differently. The API docs know this. The pricing page usually doesn't.
• Verification and deliverability are not the same thing. The gate tells you whether an address can receive. It does not tell you whether the message lands. As of 2026, that distinction matters more than ever.

According to Google and Yahoo bulk sender requirements (effective February 2024, per support.google.com), bulk senders must keep spam complaint rates under 0.3% and support one-click unsubscribe. By late 2025, email verification had moved from "nice to have" to entry ticket. Verify current requirements at Google and Yahoo's official sources.

And here's the thing nobody wants to hear: the cheapest verification API looks good on a spreadsheet, right up until you're paying to send to addresses that should never have cleared. My view is that buying verification costs less than fixing the deliverability damage it prevents.

Step 5: Build real eval criteria for LinkedIn automation feature evaluation

Most "what should RevOps evaluate" articles turn into feature bingo. That's not the point. The question isn't "does the tool have feature X." It's "what happens when feature X ships and things go sideways—are we sued, throttled, or blacklisted?"

What actually matters in review:

• Rate controls. Does the tool expose them, or does it hide the decision behind an opaque "smart" setting? I want automatic, but I need to see the ceiling and the override.
• API vs. browser emulation. This isn't a detail. It decides whether you sleep through the night.
• Account-limit detection. How do you find out a seat got restricted? What's the remediation flow?
• Human review on flag. Or does the tool just keep sending until it stops working?
• Data residency, log retention, deletion. Because LinkedIn automation has GDPR and PIPL implications that aren't edge cases anymore.

The one most teams miss is the last one. Brand compliance doesn't show up in a demo. Your support team will be the first ones to notice when a cold message goes out to an account already flagged "do not contact" in your ticketing system. Verify your automation reads the internal suppression list.

Step 6: Run the whole thing on test leads before it touches live data

Run 25 to 50 test leads through the full pipeline. Representative of your boldest segment, not just the easy one. Log:

• Which leads completed the sequence
• Which dropped out because of missing merge fields
• Which bounced hard (and why verification let them through)
• Reply rate—expect near zero, because you're testing mechanics, not copy

Honestly, most teams aren't gonna set aside half a day for a dry run. They'll save it. Then they'll spend three days cleaning up a 3,000-email mistake. That's a bad trade. I've seen it go that way more than once.

Step 7: Brand and compliance preflight (the one most people skip)

Before you flip the switch to live traffic, read every message that's about to go out. Not a sample. Every message.

• Every merge field rendering correctly?
• Every unsubscribe link live, clickable, and working in one click?
• Every message matching language your brand and legal team have actually approved?
• Any accidental promise of results, accuracy, or guarantees?
• Any specific competitor named anywhere?

That last one costs me more rejections every quarter than anything else—usually because an SDR wrote something like "unlike [competitor], we..." I don't care whether the claim is true. We don't do that.

Before you go live: notes and common mistakes

Three things that don't require a lot of thought:

• Don't scale on the first run. Define "worked" as "held up," not "shipped more."
• Don't launch on a weekend. If something breaks, you want your team online. Tuesday morning, around 9am, is the sweet spot.
• Don't change two things in the same launch. Don't upgrade okki-go and swap verification providers at the same time. If it breaks, you won't know which change did it.

To be fair, none of this is exciting. That's the point. The bill no one sees until later is the one for skipping the boring step. An extra verification tier, one more morning of config review, half a day of dry running—these look like overhead right up until you price them against sending 40,000 emails to dead addresses.

Run the list. Twice, if the sequence is big.