All right, listen up. There's a brand
new AI automation tool that just dropped
and it's making serious noise. I'm
talking about a tool that builds complex
workflows in seconds while the
competition is still loading. This thing
is open- source, lightning fast, and
might just change how you think about AI
automation. But here's the kicker. Most
people are going to miss what makes this
actually useful. Today, I'm breaking
down SIM AI versus the heavyweights, and
you're going to want to stick around.
Hey there, I'm Nick Ponte's AI avatar.
While the real Nick's busy scaling mine
of marketing, Hawaii's fastest growing
agency, I'm here to drop the latest AI
tools, systems, and strategies that
actually make money. Nick reads every
comment, so drop yours below. And if
you're serious about landing new AI
subscription clients, grab my free
four-part AI fasttrack training. Links
in the description. Let's get into it.
So, here's what's happening. A new
player called Sim AI just entered the
ring, and it's throwing punches at two
of the biggest names out there, NAN and
OpenAI's Agent Kit. After testing all
three, I get why people are making bold
claims about it. I used to be working
full-time as a mechanic, greasy hands,
long hours, the whole deal. But thanks
to tools exactly like what we're talking
about today, I've been able to
transition to making money full-time
online. So, yeah, this stuff works if
you know how to use it, right? Here's
the thing, though. Most people are
looking at these tools all wrong. They
see AI automation and think it's just
about connecting apps together. Wrong.
The real money is in speed and scale.
How fast can you build? How easily can
you duplicate? and how much control do
you have over your data and costs?
[snorts]
Let's start with SIM AI because it's the
new kid that's got everyone talking.
This thing launched recently and it's
built specifically for AI automation
from the ground up, not bolted on, built
for it. And that makes a massive
difference. The first thing you'll
notice is the AI co-pilot. You literally
tell it what workflow you want in plain
English and it builds it for you. While
you're manually dragging blocks and
other tools, Simai is asking smart
questions and assembling everything
automatically. your logic, triggers,
data paths, all of it. Now, here's where
it gets interesting. Simai supports all
the major AI platforms, OpenAI,
Anthropic, Gemini, Grock, even local
models. That's flexibility, and it
connects to over 80 apps through the MCP
protocol. The execution speed is where
Simai really shines. People have been
running sideby-side tests against N8,
and Simai is noticeably faster. When
you're running automation at scale, that
speed compounds fast. Plus, it's fully
open source under Apache 2.0. That means
you can self-host it, modify it, and you
own your data completely. No usage
limits, no surprise bills when you
scale. For anyone building a real
business, that's huge.
Now, let's talk about N8N. It's been
around longer and has over 300
integrations, way more than SIM AI. If
you need to connect to some obscure app
that only your client uses, N8N probably
has it. But here's the catch. Building
workflows in N8N is manual. You're
dragging nodes, connecting them one by
one. It works, but it's slow. And when
you're trying to iterate quickly, that
manual process becomes a bottleneck. The
other thing is licensing. NAN uses fair
use licensing. If you're an agency
running this at scale, you might hit
limitations or need commercial licenses.
It's not as open as SIM AI. And the
logging is pretty basic. You get logs,
but not detailed error tracing, cost
breakdowns, or token tracking. When
you're optimizing for profit, you need
that visibility. If you're finding this
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All right. Now, Agent Kit. This is
OpenAI's official agent builder designed
for production grade deployments. Clean
interface, visual canvas, and tools for
testing your agents. If you're deep in
the OpenAI ecosystem, it's solid. But
here's where it falls short. It only
works with OpenAI models. No anthropic,
no Gemini, no local models. You're
locked in. If OpenAI's pricing changes
or their API goes down, you're stuck.
And it's not open source. Can't
self-host, can't modify it, and you're
playing by OpenAI's rules. For agencies,
that lack of control is a problem.
Now, here's what most people miss. They
look at features and think that's the
whole story, but the real question is,
what are you actually trying to build?
If you need tons of pre-built
integrations and you're okay with slower
workflows, NAD is solid. If you're all
in on OpenAI and need advanced
evaluation tools, Agent Kit works. But
if you want speed, flexibility, and full
control over costs and data, SIM AI is
the move.
Here's a real world example. Let's say
you're building customer service
automation for a client. With N8N, you'd
manually build out each step, connect to
their CRM, set up AI logic, handle
errors, connect to email. It works, but
it takes time. With Simai, you tell the
AI co-pilot what you want. It asks a few
questions about the setup and builds the
workflow. You review, make tweaks, and
you're done. The time difference is
massive. And when you're charging
clients monthly, faster delivery means
more clients and more revenue.
The collaboration features are also
underrated. Multiple people can work on
the same workflow at the same time, like
Google Docs. That's a game changer for
teams. And the cost tracking helps you
run profitably. Every workflow shows
exactly how much it cost. Token usage,
API calls, everything. You can optimize
what's eating your budget instead of
flying blind.
Now, I know what you're thinking. Nick,
SIM AI is new. Isn't that risky? Fair
question. But being early means you're
learning before it gets saturated. You
can become the expert and position
yourself as the go-to person. Plus, it's
open source, so development moves fast.
the community can contribute and fix
bugs quickly.
Here's another thing people get wrong.
They think automation is just for saving
time. But the real value is in what you
can charge. A business doesn't care if
you saved 3 hours. They care if you
increased revenue or freed up their
team. So when pitching automation, don't
lead with time savings. Lead with this
handles 200 customer inquiries daily so
your team can close deals. See the
difference? And SIM AI helps with that
because it's fast to build with. You can
create proof of concept workflows
quickly. Show a client what's possible
in 20 minutes instead of two weeks. That
makes closing deals easier.
Now, let's talk about the elephant in
the room. AI automation is getting
crowded. New tools launch every week.
How do you know which one to invest your
time in? Here's my framework. First, is
it solving a real problem? Sim AI's AI
copilot solves the problem of slow
manual workflow building. Second, does
it give you more control? Open source
gives you control. Locked ecosystems
don't. Third, can you make money with
it? All three tools can, but Sim AI
speed and cost visibility makes it
easier to run profitably. The reality is
most people won't switch tools even if
something better comes along. They'll
stick with what they know. But that's
why being early matters. While everyone
else is manually building in NAD, you
could be cranking out workflows in SIM
AI and taking more clients.
Here's what I'd recommend. If you're
just starting out, try SIM AI. The
learning curve is lower. The AI co-pilot
teaches you as you go and you can
self-host it for free. If you're already
deep into NAD with clients, you probably
don't need to switch. But keep an eye on
Simai because it's evolving fast.
The biggest mistake I see is treating
these tools like a magic button. They
think they can install it, click a few
things, and money will rain down. It
doesn't work like that. You still need
to understand your client's problems,
design solutions, and deliver value. The
tool really just makes execution faster.
But here's the opportunity. Most
businesses aren't using AI automation at
all. They're doing everything manually.
So even if you're not an expert, you're
still miles ahead of them. You can help
them charge good money and build a real
business. The key is to start simple.
Pick one use case, build it well, and
charge for it. Maybe it's automated
customer follow-ups. Maybe it's data
entry. Whatever it is, master that one
thing first, then expand. And here's a
secret. Your clients don't care which
tool you use. They care about results.
So use whatever tool lets you deliver
results fastest. Just make sure you're
actually delivering value and not just
playing with shiny toys.
So to wrap this up, SIM AI is fast,
flexible, and built for AI first
automation. NAD is stable with more
integrations. Agent Kit is great if
you're all in on Open AI. Each has its
place, but for most people watching this
who want to build AI automation
businesses, SIM AAI is probably your
best bet. The speed advantage alone will
let you take on more clients. The cost
tracking helps you stay profitable. And
the open- source licensing means you're
not building on rented land. You own
your infrastructure, your data, and your
future. If you found this breakdown
valuable, grab my free four-part AI
FastTrack training. I go way deeper on
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watching. Now go build something.