I Turned OpenClaw Into The Ultimate Employee

I'm going to tell you how I made OpenClaw my ultimate employee, not my ultimate

personal assistant, which is how everyone else uses it.

I'm going to tell you how you can make it your ultimate employee.

So it actually makes you money.

First off, let me give you a couple of examples.

One, my OpenClaw booked me a meeting with Google that then led me to getting invited

to speak at a Google conference and it led to a whole host of other opportunities

just from that conversation.

Number two, OpenClaw writes me articles on X that average 85,000 views per article.

Not only that, my OpenClaw also creates Instagram images for me that got 30,000 views.

And my OpenClaw interacts with my team inside of Slack.

And it helps fill the gaps in the information to help some strategize as well.

And it helps them actually get work done.

So let's get into it.

I'm going to show you how I've made my OpenClaw my ultimate employee

and how you can do the same thing as well.

You're going to want to stay till the end because there are some really good nuggets to help you.

Ultimately, drive more revenue.

Okay, so this is actually one of the articles that I've created inside of OpenClaw that goes

through my setup because my OpenClaw works to me.

I talk about, hey, I want to share on X the cool setup that we have.

And so there's a handful of things that it can do for me.

So number one, we have the YouTube repackage engine.

So you're on YouTube watching this right now for the most part.

I published my YouTube videos on Mondays and Thursdays and some will take out the gate.

By the time we notice, it's too late.

The algorithm has already buried them, right?

So what we built was we want a video publisher and then YouTube API checks views versus baseline

and then the second checks confirms trend.

And then if it's performing okay, we do nothing.

If not, then we pull the transcript via API.

We generate three new titles and then we have expert panel that scores it.

And we only accept scores that are over 95 plus.

And when I say expert panel, that means it pulls from either the best people in YouTube right now.

It could be, you know, Patty Galloway.

It could be Mr. Beast, for example.

And then it's going to keep recursively scoring until it gets better.

And then only then is it going to accept the title and then same thing with the thumbnail as well.

And then, you know, using the Gemini model.

And then we send a telegram with the approved ones.

But ideally, you don't want to have to do that.

You can just approve it and let it go, right?

And then you, you know, the human kid, you can tap one button

or you can hand this off to one of your employees to do it for you.

Or you can just have it do it.

Once you build up enough trust, you can just have it do it.

More on that later.

You know, for example, I had this post over here.

OpenClaw made me go viral overnight.

So this one only had three, three hundred one views initially.

And then once we adjusted it, then the score went higher,

but then the views went a lot higher to it.

And actually, case in point, with this specific, you know,

whatever we adjust titles, I just want to prove to you that this works, right?

This original post only had one like on it after the first hour.

We changed a title and then it shot up to, you know, 46,000 views or so, right?

You know, we have the YouTube package engine.

That's one piece of it.

Trigger-based prospecting.

So the way I use my openClaw inside of my Slack is it actually will find opportunities.

It'll actually interact with my sales team as well.

And it combines with my GONG, which is my sales intelligence tool.

It listens to, you can list the calls in there.

It has our CRM, which is HubSpot.

And then it handles different forms of prospecting.

So we call it unified prospecting, actually.

And so we have Trigger-based prospecting here where, for example,

if a new CMO hires start to the new target company,

we target most of B2B.

Or there's new funding announcements or new job postings looking for

marketing hires specifically, then we can score each signal based on

ICP, Fit, Timing, and Relationship.

And then we do Unified Outbound, which is, you know,

we'll have a deal of the day,

which is like the best deal of the day,

cold outbound, which will batch, and then deal resurrector,

which is reviving still lost deals, right?

And then the team can approve.

Or you can set this to, you know,

fully autonomously work on its own.

But you want to have a crawl walk run in the situation.

Just like with an employee,

you want to make sure that you're training to employ up.

You want to make sure there's an onboarding sequence.

Because if you don't spend time with your agents initially,

they're just not going to be that good.

It's the same thing with employees, too.

You can't just assume that they're going to read your mind.

You want to make sure that you're talking to them,

you're answering questions, and you're strategizing with them.

And so this, to me,

replaces a lot of the other AISDRs out there that you're seeing.

Because you can just do a lot of these things, right?

And then all you're really doing is you're just talking

to the OpenClaw and going back and forth with it.

So we're actually inside one of my sales Slack channels.

I highly recommend that if you have a team,

you put your OpenClaw inside of Slack.

Because inside of Slack,

it's going to spawn a bunch of ideas.

Your team's going to see how it works.

And it's going to give them a bunch of ideas, too.

And they can query questions,

get a lot of data that they need.

And they don't need to wait on a data analyst anymore.

Not only that, as an example,

today, Ashley shared something from LinkedIn.

And I knew it was going to be a good post

because I think Ashley has a good judgment.

So I just said, hey, Arrow,

which is our sales AI outbound sales agent?

I said, can you read this?

Take this into account when building cold outbound.

It took it in.

It's a, hey, I got all these takeaways over here.

Boom, it's going to be added into outbound.

And then not only that Ashley saw this,

she's like, oh, damn, I didn't know you can do that, right?

That's cool.

But you can see these daily outbound prospects are in here.

And then I can just go back and forth with this thing.

The sales team can actually interact with it.

And it can also help it improve to by giving it feedback.

And then it has contextual memory.

And it's going to compound over time.

So it's a really smart employee

that knows how to connect to dots with everything.

And it can query whatever information you want.

And it can do work for you.

So it can just end to end.

It can handle a lot of the work for you.

And that is the power of OpenClaw,

not just as a personal assistant, but as an employee.

All right, so now I'm going to give you a bonus too.

From an employee standpoint,

when you look at OpenClaw,

this is my OpenClaw SEO employee, okay?

So inside of our SEO group,

I just, I had asked my OpenClaw, I was like,

hey, this is Oracle, okay?

So Oracle is our SEO agent.

And I was like, hey, Oracle, what outside the box things?

Can we do to level up single ring AEO based on our numbers?

What parts can you execute?

Here's where we actually stand on AEO,

what outside the box and what I can actually execute on right now.

So it's kind of calling us out where we're strong

and where we're weak right now.

And we need to do better on AI era terms.

We need to do better with purple XD.

Actually, I'll put a little less weight on purple XD.

But these things are good, okay, interesting.

So these are outside the box moves.

But, you know, here's number,

I think it's number, number six.

Yeah, number six.

Answer engine bait.

So we want pages built for LLM's not Google.

So what's interesting to me is that Amy are SEO leader.

She said, idea six about answer engine bait,

how would you grade our existing site content

against your own answer,

your own optimization levers?

Please separate based on sub page groupings

and URL structure.

So boom, like look on the right side over here.

Oracle, here's my six AEO,

optimization levers created a perception.

And then here's these tables.

Here's this agency section for you.

Here's how you're scoring D, D minus D, C minus C plus.

Here's just justifications for everything.

Services, here's how you're doing.

C, D, D, D, right?

So it's what's cool to me is it's giving this over here

and it's strategizing and it's doing it fairly real time

and then Amy's tagging other people.

So my point of telling you this is that

when you work with OpenClaw in disrespect

and you're running, you're helping other people,

maybe you're serving clients, okay?

Maybe you're a consultant.

Maybe you are, you run a business.

This is how you should be working with it.

Not just like, oh, you know, I used it to book a flight

from me or whatever, that's cool.

Like that to me is based level, right?

But if you want to think about driving revenue,

you should think about how you can make a fleet

of these employees to help you do things

that you could never do before.

That's how you want to be looking at this, right?

So I have a bunch of other examples.

I mean, on the social media side,

on the SEO side, I just showed you sales side,

on the leadership side,

it helps us with some insights on our SaaS product

in terms of what we can do from an onboarding standpoint,

where there's funnel drop off.

There's so many things that it's spotting,

and then you can set cron jobs,

which are chronological jobs run daily

to be very proactive.

So it not only has memory,

it's also proactive with you as well.

And when you think about this,

that means you can spin up so many different employees

to get the job done for whatever it is that you need to do.

So what I'm going to show you now,

is I'm going to show you a couple of things

that you should be considering

when you're building out these employees.

So this is going to help you make them

even more effective for you,

and make your army that much better.

Quick break.

I want to tell you about something that we've been building.

For years at single grain,

we've been doing SEO and content for clients,

and the biggest problem is always execution.

Everyone knows what to do,

but doing it at scale is brutal.

So we built Clickflow.

It's an AI SEO product that creates content

that actually sounds like your brand,

not just generic AI garbage.

It also helps with other areas,

such as internal linking, creating FAQs, and more.

We use it ourselves, our clients use it,

one user reported saving over 90 hours a month below.

If AI SEO matters to your business,

you can try it for free for 14 days at Clickflow.com.

All right, back to it.

So the thing I want to show you here

from an infrastructure standpoint

is the Elon algorithm.

So the Elon algorithm is, it's very simple.

It's QDesa.

The way I look at it is you want to question the requirement,

you want to delete as much as possible,

you want to simplify, speed up,

and then you want to automate.

Most people think about automating too soon.

And so when I run this Elon algorithm,

you can see, hey, who asked for this cron job

in the first place?

Does it connect revenue within two steps?

Has Eric ever acted on its output?

Delete, if nobody acts on it for three weeks, kill it.

Simplify it.

We consolidate 61 crons down to a target of 8 to 12,

which is what we did.

Accelerate auto, execute proven actions,

low risk items, skip approval,

and then automate, close the loop,

outreach, reply, meeting revenue.

So, you know, I think a lot of people

just try to automate too soon with this stuff.

For me, because this is actually operating

within my business,

I want to make sure that I trust this

before I let it go,

Elon do its thing.

And so, having the Elon algorithm

it runs once a month,

that's very helpful to me,

because it saves on cost,

and it makes sure that we keep things tight,

because at one point inside my telegram

had too many cron jobs going,

and it just became too overwhelming for me to manage.

So, when we look at the Elon algorithm, look at this.

So, before we had 61 cron jobs over here,

I think from outbound, content, SEO, meta, strategy,

all these things.

And then, you know, it's costing $63 a week,

50 plus messages a day.

It's not even a 63 bucks that matters.

It's the 50 plus messages a day,

and it only acted on 30%.

And then we did an audit,

and we killed all these cron jobs over here,

and we consolidated a few over here.

And then after, you know,

we target down to 12 crons,

25 bucks a week, three to five messages,

and then it act on 80%, right?

Which is a lot better,

because that ultimately means I'm taking more action

with this stuff.

And so, you know,

instead of spending three hours a day on this,

maybe it's more 15 minutes in my day, right?

So, that's the savings that you're looking for.

So, that's one optimization you should think about making.

Now, the other piece too,

is that you do want to be thinking about, you know,

weekly metrics enforcement.

So, I actually send this to my leadership team.

So, how are we doing with, you know,

margin, team utilization,

net revenue retention,

pipeline was lost, the content performance.

So, these things over here.

So, you can,

the old way is you could have asked someone to do a report.

The new way is you just have it pop it over into Slack,

and then it will ask pointed questions

that whoever is responsible

and that person is required to respond,

and then we just pull from all these sources over here.

And then it compares to our goals as well.

So, it knows your goals,

it's connected to all the resources,

it's talking to people on your team,

it's seeing how these people behave over time,

and it's helping coach these people to,

in addition to holding them accountable.

So, you don't just have one employee,

you have an ultimate employee

that has ultimate context

because you're working with them all the time,

it's working with you all the time.

And by the way, if you're a content creator too,

like it's listening to you in meetings,

it's watching your content as well,

it's looking at decisions you made,

it's looking at the goals.

It basically next to yourself,

which you hang out with all the time,

it's as close as it gets, let's just call it that.

So, here's how it might look

from a CEO post example.

So, Monday at 7 a.m.,

the data sources are being pulled from over here,

and then you have these metrics.

Okay, here's how we're doing with margin over here,

utilization, and these are dummy numbers, right?

Here's how we're doing versus the three-year target,

the eight metrics that we're looking at over here,

looks like we're good, okay, where are we not good?

Okay, we just call it out,

and when you address the elephant in the room,

we talk about remedies, we talk about due dates,

boom, we just move on to the next date.

That's how we do things, okay?

Content refinery, 30 posts in one night.

So, what I did was I had my content agent

analyze my Instagram analytics,

and it pulled from Metricool,

and it just looked at what the top performers were,

and it's like, oh, by the way, these dot grid charts,

this one did, you know, it got 331,000 views on it,

about 3000 saves on one post,

and these dark carousels seem to do pretty well too,

and maybe we should do those,

and then I just said generate 30 posts

across these three formats.

And so, what happened was,

you look at this one over here,

this is one of the ones that was generated

from my open clock.

You want to talk about an employee that's doing a good job,

34,000 views on this one, very well done, okay?

So, Metricool, you go from API, identify virus formats,

and then just repeat.

This, you can set on autopilot,

you can make this into a repeat,

cron job, and you can just pick the ones that you like,

and you can just hand this off to your social media team,

and then they're repeating this, right?

Or, or if you feel good about it,

you can hand it off and go from there, right?

So, there's so many things I can shoot,

like there's a channel workflow route over here,

Slack as a command layer, right?

And so, you know, you can have a Slack message over here,

you can, you know, look at, so, this is what happened.

I've actually added my, my cloud,

my open clause into my Slack instance,

and it's invading my channels, right?

So, it's, they'll look at, you know,

ask questions in the SEO channel,

or, you know, post candidates in the recruiting channel,

or a flag issues that it sees,

and then they can actually solve these things

if we want to let it solve these things, right?

But again, a lot of these things just depending on your business,

I don't think you want to just let it do its thing,

but my team can now use this AI system,

this AI employee, this AI chief of staff,

without having to talk to me.

Now, there's a key thing here,

because I can show you a bunch of other infrastructure things,

I can go on and on here,

but I think another thing that I want to,

I want to show you here, that's very important,

is the whole idea of calibration loops,

and I just actually put this post out today,

the whole idea here is that, you know, trust is earned, right?

Trust isn't just given,

and in the very beginning,

you're at 0% trust with your agent, okay?

And then maybe as you train with it more and more,

is you prove more things,

the trust goes up with both of you,

and then eventually it goes up to 75% more autonomous, okay?

Now, you might think that after you've approved

a bunch of things and it's seeing patterns with you,

and you feel good about it,

you might think it's good to go,

but the reality is, with your business,

with really any employee, okay?

So business has changed, maybe your ICP changes, okay?

Maybe your product or your service changes,

whatever it is exactly,

even if you get it to 100%,

these calibration loops will eventually start to decay,

okay, this meter will start to decay,

and so what I'm building into all my agents right now

into my products, my unified dashboards, all these things,

like we're starting to do this for clients right now,

we're building all these agent tech products

for them, we're building these workflows,

but we have to be able to measure what's going on over here.

The way you wanna think about these calibration loops

over here ultimately is that,

you have, you know, early training,

you're getting a dialed in over here at 40%,

maybe 60% it's solid, 80% it's highly calibrated, right?

By the way, if you don't give it feedback,

maybe, you know, it's minus two every day, okay?

Maybe you have personnel change, okay?

Minus 50%, maybe performance drops,

maybe you have a new product launch.

The whole idea here is that,

with these calibration loops,

you're constantly making it better in your gamifying it,

and I highly encourage you that,

even if you're running this OpenClaw with just through chat,

or maybe you're from making a dashboard for it,

you have to have these calibration loops in there,

and if you're gonna have your team involved,

they need to be constantly training it as well,

because otherwise, this is all gonna decay,

and that means your product's gonna decay,

and your work's gonna decay over time,

because ultimately it's gonna be an army of agents

that are running a lot of the things, right?

You don't want that decay,

that this thing's gonna help you keep things scaled,

like you wanna scale, but you wanna keep things scaled.

So look, if you enjoyed this video,

let me know what else you wanna hear about

in the comments below,

as it relates to AI and business dropping in comments,

and I'll see you in the next video.