okki-go FAQ: Uninstall, Agent Workflow, Email Verification, and When B2B Teams Actually Need an AI Email Writer

I run outbound ops for a B2B company. Small team. The kind of setup where a sales rep pings me at 4 PM needing 200 verified leads for a meeting that's already on the calendar for tomorrow morning. I've done that fire drill somewhere in the neighborhood of 150 times over the past 18 months.

These are the questions people keep asking me about okki-go, email verification, and the whole AI SDR category. Straight answers, no fluff.

Here's what's covered:

• What is okki-go, really
• How to uninstall okki-go
• What the okki-go agent workflow actually does
• What to look for in email verification API documentation
• Email verification service features that matter vs. the ones that don't
• What's an AI email writer, and when should a B2B sales team use one

What Is okki-go, Really?

okki-go is the agent-native prospecting product from okkigo. Translation: instead of you opening 12 tabs to find a lead, enrich it, verify the email, and write a first-touch message, an AI agent runs that whole pipeline.

Is that revolutionary? Not really. I did the same thing manually for two years with a spreadsheet and a prayer. What's different is the speed, and more specifically the waterfall—it'll try one data source, then fall back to the next, then the next, so you're not stuck with a 60% enrichment hit rate.

The honest framing: okki-go handles the repetitive part. It doesn't replace the human who knows which of those 200 leads is worth a phone call. Anyone selling it as a full SDR replacement is overselling.

How to Uninstall okki-go

Depends on what you installed.

If it's a browser extension, go to chrome://extensions, find okki-go, and remove it. Takes 15 seconds. If it's the desktop app on macOS, drag it out of Applications to the Trash, then check ~/Library/Application Support/ for leftover config files. On Windows, Settings → Apps → Uninstall, then peek at %APPDATA% if you want a clean removal.

If it's a pure web app, there's nothing to uninstall—just log out and cancel the subscription.

Here's the thing though. I'd say 9 out of 10 people searching "how to uninstall" aren't dealing with a software problem. They're dealing with a billing problem or a "nobody on my team actually uses this" problem. That's a conversation with support, not a drag-and-drop deletion. Most SaaS companies, okkigo included, have a refund or cancellation window. Use it.

What Does the okki-go Agent Workflow Actually Do?

An agent workflow in okki-go essentially chains a handful of AI steps together. You define an ICP—say, "SaaS companies, 50-200 employees, US-based, Series A or B"—and the agent goes off and does lookups, enrichment, drafting, sometimes sequencing.

The part that actually saves time isn't the automation. It's the fallback logic. The agent tries data source A, gets a partial match, then tries source B, then C. Doing that manually for anything over 50 leads is a nightmare—I know because I did it for about a year.

I'm not 100% sure how okki-go prioritizes which data sources to hit first, and honestly, the internal ranking probably changes with each release. What I've observed in practice: enrichment labels come first, then basic verification, then the drafting layer sits on top. The workflow is more of a queue than a magic trick.

What to Look for in Email Verification API Documentation

If you're evaluating a verification provider, skip the marketing page. Read the actual docs. These are the questions that separate usable APIs from pretty ones:

• Bounce classification: Does it return hard vs. soft bounce distinction, or just a flat "invalid"?
• Latency per email: Critical if you're verifying in real time at form submission. Anything over 5 seconds is unusable for that use case.
• Catch-all handling: How does the API treat catch-all domains? This is where most services fall apart, and it's rarely documented well.
• Status codes: Do you get valid / invalid / risky / unknown, or a binary yes/no that hides uncertainty?
• Batch vs. single endpoint: You need both. Batch for list cleaning, single for forms.

Price per thousand is basically the last thing I look at. Latency and catch-all accuracy decide whether a verifier is usable. Everything else is negotiation.

Email Verification Service Features That Actually Matter

Beyond obvious syntax checking (is there an @ sign, is the TLD real), a legit verification service should provide:

• MX record checks—does the domain even accept mail?
• SMTP handshake—this is where the actual verification happens. If the docs don't mention SMTP, walk away.
• Disposable domain detection—mailinator, guerrillamail, and friends.
• Role-based flags—info@, support@, admin@ usually convert differently than personal addresses.
• Predictable response codes—no one wants to reverse-engineer what "code 3" means.

On accuracy: any service claiming 100% is lying to you. The honest range is somewhere around 95-99% depending on how dirty the list is. Take vendor benchmarks with a grain of salt—I've never seen independent verification of those numbers.

I learned this the hard way in 2022. Imported a bought list without verifying it first. Reply rate came in at 0.2%. Took six weeks to recover our sending domain's reputation. That's the kind of mistake you only make once.

What Is an AI Email Writer, and When Should B2B Sales Teams Use One?

An AI email writer takes a prompt plus prospect data and produces a draft of an outbound email. That's it. The good ones integrate with your CRM, pull on win patterns from your closed deals, and give you variants to pick from.

When should a B2B sales team actually use one?

Use it when you're sending more than 50 personalized emails a week. Below that volume, write them yourself—the quality gap is still real.

Use it when your value prop is already sharp. If you can't explain your own offer in two sentences, an AI won't fix that. It'll just help you generate better-sounding noise faster.

Use it when there's a human review step. Any AI writer worth its salt puts drafts into a queue. Auto-send is a domain reputation hazard.

Don't use it because "nobody wants to write cold emails." In 2023 we tried that logic—let an AI run the whole outbound sequence with no review. Reply rate: 0.8%. Same list, human-written, same month: 2.1%. The kicker? We later found that 1-paragraph emails under 90 words always outperformed. The AI had been writing 4-paragraph essays.

Small doesn't mean unimportant, by the way. I've watched teams with 3 reps out-perform teams of 30 because they actually reviewed what went out. Whether it's a 200-lead campaign or a 20-lead test, the review layer is where the return comes from. Skip it and you're just paying for faster mistakes.

That's the honest version. No tool replaces judgment. The good ones just give you more time to apply it.