Welcome to the deep dive today. We're really getting into something exciting flow
wise. It's an open source platform and honestly
It's changing the game for building AI agents our mission today to show you how
something that sounds super complex is actually becoming well
Surprisingly accessible even if you're not, you know a hardcore AI coder
But hang on before we dive right in a quick shout out to our supporter safe server
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Right. So flow wise as I said open source and it lets you build AI agents visually
now when you hear AI agents
Maybe you picture I don't know teams of developers deep and complex code, right?
But the real magic here what flow wise does is it kind of demystifies all that it
makes building these things intuitive really powerful
And honestly something a much wider range of people can actually do that's such a
key point. I mean traditionally
Yeah building AI agents meant you needed serious technical chops coding machine
learning frameworks the whole deal
What's so fascinating about flow wise is how it just bypasses that whole
intimidating entry barrier
It brings this really advanced capability into a visual space, you know makes it
approachable. It's not just simplifying things
It's genuinely like democratizing access to these powerful AI tools, which is
frankly a massive step forward
Okay, so let's unpack that a bit for anyone who listening is maybe, you know
tangled with complex AI stuff before flow
Why it sounds like a completely different approach. What exactly is it
fundamentally?
And how does it pull off making something so sophisticated feel well easier? Yeah,
good question
So at its heart flow wise is an open source platform specifically for developing
agentic systems
The revolutionary bit is the visual building it uses these modular building blocks
Think of it like like building with high-tech Legos instead of forging metal parts
from scratch
You snap together these pre-built functional modules on a screen to define how your
AI works
It's logic its flow all visual this massively cuts down on the you know
The mental load and the amount of boilerplate code you'd normally have to write and
just to give a sense of its credibility
It's backed by Y Combinator and already being used by teams all over the world.
That says a lot, right?
So it's not just a pretty interface. It's changing how you actually build the thing
Yeah sounds almost like those drag-and-drop website builders that totally changed
web design, but this is for AI
You're arranging pieces to map out complex AI behavior instead of typing endless
lines of code
That definitely sounds like it lets you as developers say iterate fast
Does this visual approach ever feel limiting or can flow wise really handle the
complex stuff? You'd normally code
That's a really fair question and it gets right to the core of how flow wise is
designed. It simplifies
Yes, but crucially it doesn't really sacrifice power or flexibility
The core promise is that you can build everything from say simple workflows where
an AI follows set steps all the way up to fully
Autonomous agents and all through that visual interface
So you're focusing purely on the logic and the flow how the AI should behave
without getting bogged down in the underlying code implementation
And for anyone wondering about getting started
It's incredibly simple like a quick NPM install dash g flow wise and then npx flow
wise start and boom
You're basically up and running that ease of setup is key for rapid prototyping and
the modular design means it's robust enough for complex
Scenarios to it bridges that gap between no code simplicity and code heavy power,
you know
Okay, that makes the barrier to entry almost nothing. So let's get practical. What
can you actually build with this?
What kind of tangible things could our listeners start thinking about for their own
work or projects?
Great. This is where it gets really interesting. You can basically break down what
you build into two main categories
First up, you've got chat assistance
These are probably what most people think of as an AI chatbot
Single agent systems designed for specific interactions, but they're super
versatile
They support things like tool calling which means the AI isn't just talking it can
actually do things like interact with other systems trigger actions
Oh interesting like pull up customer data or book something exactly pull order
history from a CRM book an appointment
maybe even process a simple transaction all based on the chat and
Critically these assistants are great at knowledge retrieval often using this
technique called rag retrieval augmented generation
This means the AI isn't just using its general knowledge
It can intelligently search and pull specific up-to-date info from your own private
data sources before it answers
Ah, so it's like giving it a super focused research assistant for your specific
stuff precisely
It makes the answers not just accurate in general
But highly relevant to your context your company docs latest market reports product
manuals
Whatever and when I say it supports a wide array of data sources
I really mean it it handles almost everything you'd find in a business
Txt files PDFs rtf doc HTML CSS JSON XML CSV markdown
Even direct sequel database chats Wow. Yeah, it's comprehensive
You can feed it pretty much all your relevant info turning all that scatter data
into something that AI can use intelligently
Then you step up to the next level multi agent systems
This is where it gets really powerful and honestly quite transformative instead of
one AI doing everything you orchestrate workflows across multiple
Coordinated agents think of it like building a specialized AI
Okay, how does that work? Well each agent might have a specific role
maybe one agent is great at research another excels at summarizing information a
Third drafts content and maybe a fourth reviews at all. They communicate they
delegate tasks
They collaborate to tackle problems far more complex than any single agent could
manage on its own
This opens the door to automating entire business processes that used to need a lot
of human coordination
Or really complex software integrations that distinction really helps visualize it
Yeah, so just to make sure I'm getting this you could literally build say a
customer service chatbot that answers questions using your entire library of PDF
Manuals and word docs always giving the right info and on the multi-agent side you
could build a team of AIs
Maybe one does market research another analyzes social media sentiment a third
writes a summary report and a fourth even drafts some marketing ideas
That's yeah, that's a whole different level of automation. Exactly, right?
The potential scope is huge really just limited by the workflow you design
It moves beyond simple task automation towards
Intelligent orchestration. Okay, that sounds
Incredibly powerful almost maybe a little scary like how do you maintain control?
How does flow wise make sure things are transparent and you can have human
oversight?
You definitely don't want a black box AI running wild especially for important
stuff, right?
That's a critical point and yeah a very valid concern flow wise tackles this head-on
with a few key features
Focused on control and transparency first off. There's human in the loop or
HITL this is huge. It lets humans review tasks that agents perform during the
process within the feedback loop
Okay, so you can step in. Absolutely. Yeah, imagine your AI support agent is about
to give slightly outdated advice with HITL
A human can catch that specific output before it goes out correct it and this is
key
The AI learns from that correction instantly. It's not just fixing one mistake
It's continuously refining the agents performance based on real-time human guidance
that helps bridge the gap between AI efficiency and human nuance
Then beyond stepping in flow eyes offer strong observability through what they call
execution traces execution traces like a log file
Sort of but much more detailed. It's like a full step-by-step recording of the AI's
decision-making process
You see exactly how it reached an answer what data it looked at which tools it used
the sequence of its reasoning
This is invaluable for debugging for optimizing performance and for auditing making
sure it's doing what you expect
It even integrates with standard tools like Prometheus and open telemetry for
deeper system monitoring
Which is essential for enterprise use and finally, even though it's visual and easy
to use flow wise is also super developer friendly
It's not some closed little garden the agents you design visually you can extend
them and integrate them smoothly into your existing apps and systems
Oh, okay. So plays nice with other things. Definitely. It has robust API's
Software development kits SDKs for both TypeScript and Python and even embeddable
chat widgets
You can drop onto a website so you can design the core AI logic visually and flow
wise
Which is fast and then plug that intelligence into your website your internal tools
your mobile app
Whatever you're building it gives developers the best of both worlds visual speed
plus coding flexibility
So yeah, definitely not a pleck box. You can see inside guide it and plug it into
pretty much anything
You're already using that makes it way more practical for actual businesses, which
leads me to ask
How are businesses using flow wise right now? What kind of real-world impact are we
seeing out there?
Oh, the impact is definitely tangible and it really highlights those benefits speed
efficiency opening up new AI
Possibilities their customer stories show this well, for example uneq. They do
these amazing digital human experiences
They significantly cut down the resources needed to deploy their AI brains by using
flow eyes
That means faster launches and lower costs for them
Another one kumit guitar iFleet used flow eyes to seriously boost the quality and
efficiency of a new co-pilot feature in their fleet
Management product so it's great for enhancing existing things to right now just
building from scratch
Exactly and BTS digital they sped up their whole initiative around build your own
AI
Assistance easily showing how flow wise helps companies become more self-sufficient
with AI
There's great quote from David Mikado a senior director of DX and AI
He said flow eyes has truly changed how we approach AI
It's simple enough to prototype an idea in minutes yet powerful enough to take all
the way to production
That's a pretty strong statement, you know, yeah that sums it up perfectly
Prototype fast scale up and it's not just the official stories
The open source community around flow wise is buzzing on Twitter and places like
that
You see people doing amazing things like creating super specific AI teaching
personas building
Multimodal chatbots that handle both text and images making telegram bots for real-time
bus info using live data
Even no code sequel chatbots. So business users can query databases just by asking
questions in plain English
Wow, that's diverse
It really is it shows the platform is enabling all sorts of innovation from
education to transport to business
Intelligence, it really does sound like a game-changer then speeding things up
making AI more efficient and unlocking these capabilities for people who aren't
necessarily
AI-phd's it lets you test ideas super fast and then actually build them out
properly and having such a strong community
What was it over 42,000 stars on github? That's huge for an open source project
shows. It's alive and well-supported
Absolutely, that community is vital and importantly flow eyes is also built to work
Well with other popular AI tools and frameworks that you know, many listeners might
already be using we're talking smooth integrations with big LLM providers
Like AWS bedrock open a eyes GPT models
frameworks like Lang chain for managing complex AI steps and
Essential vector databases like lemma index or milvis for that smart knowledge
retrieval
It even works with multi-agent systems frameworks like autogen so flow eyes fits
neatly into the bigger AI ecosystem
It doesn't force you into some isolated silo. You can leverage your existing tech
stack
okay, this all sounds amazing incredibly powerful, but
Often tools like this, especially the ones ready for big companies come with a
pretty hefty price tag
How accessible is flow wise really for someone just starting out?
Maybe a small team wanting to experiment that's another area where flow eyes really
scores points accessibility and scalability
You can literally as they say start building for free their free tier gives you
enough to really get going
Two flows in assistance 100 predictions a month a bit of storage plus access to all
the community support
It's perfect for just trying things out learning the ropes building a proof of
concept all with zero cost
Okay, that's genuinely free to start
Yeah
And then if you need more they have starter and pro tiers that are really
reasonably priced for individuals or smaller teams
It scales up affordably, but crucially it's also built to be enterprise ready for
bigger organizations
It has all the features you'd expect support for like over a hundred different
large language models
Tons of embedding options various vector databases plus robust deployment options
on your own servers or in the cloud
And it's designed for horizontal scaling so it can handle massive workloads and
stay reliable
It truly spans from you know a hobby project right up to industrial scale AI
So you can genuinely start for nothing play around learn build something cool
And if it takes off you have a clear path to scale it up massively that level of
flexibility is incredible
It really empowers everyone from beginners to big enterprises
Wow what an incredible deep dive into flow eyes today
It really does seem to stand out by making this complex world of AI agent building
so much more accessible so visual
It's clearly empowering people and organizations to innovate much faster whether
they're seasoned developers
Or you know just starting to explore what AI can do and that really brings up an
interesting question for everyone listening
Doesn't it thinking about your own work your own life?
What task or challenge could you transform with an AI agent especially one that you
could actually build and control yourself?
Maybe without needing to become a coding expert first just imagine the
possibilities flow wise could unlock for you personally
That's a fantastic thought to leave people with thank you so much for joining us on
this deep dive into flow wise today
We really hope you learn something useful and maybe feel inspired to check out
visual AI building and before we go a huge thing
Thank you once again to our sponsor safe server.de for helping make these deep dives
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next time