Brady Hugins: Hi everyone, this is Brady Hugans. It's July 3rd. This is another Mayor Mayor presentation.
Brady Hugins: Happy Friday. Thank you for joining. We may have some people joining in.
Brady Hugins: During the call.
Brady Hugins: So, and if you're viewing this on recording, happy that you're here too.
Brady Hugins: I've been putting together some finishing touches on our… Data sovereignty course.
Brady Hugins: And then, rounding out some of the information with some practical tools. Last week, we covered…
Brady Hugins: Getting started with the first 15 minutes of ecosystem and tech development with Cloud Code. So, code builder.
Brady Hugins: What are some of the basic prompts? As well as some of the…
Brady Hugins: initial steps and setups. That can be intimidating, it's sometimes the first initial steps, so we put together a…
Brady Hugins: 15-20 minute overview on… How to take your first 15 minutes in the new tech world.
Brady Hugins: So today, we're going to be covering practical AI use, what is happening today. We're in the middle of 2026, so this is a formidable time to be learning about AI.
Brady Hugins: Especially amongst a lot of the changes.
Brady Hugins: my background comes from enterprise and many different Fortune 500 companies, that have used data in various ways, whether it's through their own email use and marketing, or their own
Brady Hugins: Software ecosystems, so I have a number of different instances in which AI has been used, and I've seen use in many different types of styles of companies.
Brady Hugins: So, I'm covering over 5 different types today, and what we can expect to see in the few… next few years from AI, or what… what we can expect to see things going.
Brady Hugins: So, there's often two ways that people… I guess it could be three, but oftentimes, two different areas in which people
Brady Hugins: position AI. They… they… they think of it either as either a toy, so something that is…
Brady Hugins: A funny trick or some light tool, or they believe it will change everything and do everything and do more than it can present itself to be.
Brady Hugins: When we're taking our practical steps, we're definitely looking at
Brady Hugins: potentials of technology, but also practical potentials. So, what does that mean today? What does that mean in the next weeks, months?
Brady Hugins: Even though it may have big impact over the years, we're still working in timelines that are very human.
Brady Hugins: So, oftentimes, people are selling a perspective based on either what they are selling, so if it's NVIDIA, they're usually selling hardware and chips, so tokenization and…
Brady Hugins: And then if they're… you know, OpenAI or Anthropic, they're looking at
Brady Hugins: selling their services and connecting with their models, so there's various different ways.
Brady Hugins: that…
Brady Hugins: companies sell their perspective in AI and position themselves, so it's good to have your own independent view, understanding, as well as your own independent forms of
Brady Hugins: AI that you can run locally, which means runs on your local computer.
Brady Hugins: So… This is an operator's version today.
Brady Hugins: So, what's useful now, what breaks, and then what's coming. So, I make these… Presentations as practical as possible.
Brady Hugins: So that people can go about and start building the systems that they need.
Brady Hugins: So, we don't have any demos today, although we have many different demos that we've run in the past, I use AI and agents
Brady Hugins: Quite a bit internally, and through developing for web platforms, so externally, too, so…
Brady Hugins: I have a wide breadth of experience when it comes to that.
Brady Hugins: So AI is not just one thing, it's referencing parallel processing, which is a lot like… it's how the brain operates, where it's a nodal structure, where you have a neuron, and then another neuron, and then they work independently, but together.
Brady Hugins: So, there's different capabilities that that kind of processing is capable of. Large language models are one of the primary ones.
Brady Hugins: So we're gonna go over 5 different types of capabilities, and then what those would look like in the near-term future. So…
Brady Hugins: Confu… it's sometimes confusing, but this is here to give some clarity on that.
Brady Hugins: So, let's start with the first one. Usually, what most people are aware of.
Brady Hugins: And what they've had most experience with, which is either chat or… Claude.
Brady Hugins: So it's text in, text out.
Brady Hugins: Large language model, referred to as LLMs.
Brady Hugins: So it's good at drafting, summarizing, if you provided a large context of information.
Brady Hugins: It can pull the structure, clean up any of the messy text, infer what you mean by it, and then answer and develop a document or a system, several documents around that.
Brady Hugins: So, it breaks at…
Brady Hugins: hallucinations, so AI fills in the gaps, so there's factual and contextual information that needs to be referred to, reviewed, researched, and then checked.
Brady Hugins: Oftentimes, so there's versioning?
Brady Hugins: That's important to review and revise in documentation.
Brady Hugins: So, sometimes context is, as you would go and ask someone to create a document for you, you would need to have a revision
Brady Hugins: And to go and read and review, because there might be certain points that are missed, or certain points of…
Brady Hugins: It could be an expert saying, no, that that is not in my expertise.
Brady Hugins: In my experience, so there might be a double check, like, it could be a lawyer, it could be as simple as a plumber going over the specs, or an engineer checking out specifications on a new build.
Brady Hugins: So… it…
Brady Hugins: doesn't always have contextual information, it only has the contextual information that it's been built on, and then also what you give it in order to answer it, so…
Brady Hugins: Having… it's really good at… Giving summaries of information, transcripts.
Brady Hugins: Action items that are pulled from it.
Brady Hugins: And some… some of those are the real use of it. It can be… used to…
Brady Hugins: gather large amounts of information together, and then consolidate them into a readable format. Edible… editable, that you would change it, but, definitely…
Brady Hugins: Very good, Ed.
Brady Hugins: Providing that work. We use one for transcribers here internally. There's a lot of people that has
Brady Hugins: Transcribers, so it records my voice, it's listening to my voice, and then it's… it's… recording… the transcription…
Brady Hugins: And then it's referring to the transcription when it's building out and summarizing the information.
Brady Hugins: Okay, coding agents, builders. So, these are…
Brady Hugins: Sometimes people are not very well aware of these, and these are what's…
Brady Hugins: creating a lot of the splash in the AI and software development economy that's happening right now in 2026. And 2025, and in the introduction, I think in late 2024,
Brady Hugins: So, it's a… what coding agents and builders are, is they're AI that writes and edits software.
Brady Hugins: So, the reason why it does it so well is because it works in its native format with data development and coding, so it can refer to and look at information very quickly, rather than
Brady Hugins: pull up an image document, read the image document after conversion, so this is very quick. It's able to read the data and information natively, and then create that information. Plus, it understands the context and the…
Brady Hugins: Hard rules around software development.
Brady Hugins: So it's good for understanding how to build tools, Fixing bugs.
Brady Hugins: Wiring APIs, which are data connectors between different databases.
Brady Hugins: And what people often refer to as the boring 80%, or what's really a lot of the behind the scenes. When we run a Zoom webinar and meeting, there's quite a bit of code that's being… that has been built.
Brady Hugins: In order for this… these webinars to go about and be presented in the way that…
Brady Hugins: they are now. And so, there's quite a bit of coding to make sure that that happens with, like, latency and video and audio and all the…
Brady Hugins: gadgets and gizmos we get for recording and working with these, so…
Brady Hugins: Let's see, it breaks, around big, ambiguous systems, so… It's… Needs specifications, so doing some…
Brady Hugins: Pre-work, or pre-planning, and having an idea of hard deliverables that you want.
Brady Hugins: And driving towards revisions and designs that move towards those deliverables are really important, so having human clarity about direction and about the project, because it can go off in different areas and develop in different ways without the guidance, so…
Brady Hugins: Always want to be reading.
Brady Hugins: What it's building, even though
Brady Hugins: it's too challenging for humans to write at that level. So, it's used… it's basically watching and supervising as it's being built, and then guiding the code builder as it's building.
Brady Hugins: There's quite a bit of planning,
Brady Hugins: that needs to be done and is encouraged. Real use, we use code builders very often. I'm one of the heaviest, probably, users of…
Brady Hugins: Claude Code, I'm probably in the top tier.
Brady Hugins: I've… I've…
Brady Hugins: spent billions of tokens, which is a lot of tokens. I code almost every day, so…
Brady Hugins: It's a, I use a lot of it in order to build the ecosystems, the dashboards, the automations.
Brady Hugins: And anything… Setting up the systems in order to make it easier for human review.
Brady Hugins: So…
Brady Hugins: I'm in my second year of business, so I've built a lot of the foundational elements, which is, like, the administration and the
Brady Hugins: Corporation, and kind of… and getting up… set up, the business up and going, and this next year has been a lot more focusing on tech development, data development, messaging.
Brady Hugins: And then production, and making sure that we're hitting certain production goals at certain points.
Brady Hugins: In order to do that, there's quite a bit of automation and behind-the-scenes work that needs to be done and at least looked at.
Brady Hugins: in order for all the information to flow well. Like, when an RSVP comes in for an event, or an email comes in asking about something.
Brady Hugins: Sometimes we want a system to be able to either listen.
Brady Hugins: To listen and to respond back?
Brady Hugins: As part of our review or dashboarding. So there's some various reasons why you would want to have someone look at your messages coming in rather than just write back. A lot of people expect it's like a chat, AI is like a chat, and it's not always set up like that.
Brady Hugins: It's…
Brady Hugins: That's a more advanced component to be able to chat, refer to information, then send back, which a lot of people expect, and which is a great use of
Brady Hugins: AI… But coding agents are different, they dive into the code directly, so…
Brady Hugins: it's very adaptable to people, so for new coders, I would recommend them look into these coding agents, especially because they're going to be using… have the ability to ask questions, and…
Brady Hugins: Write in plain English. I want to do this, I want to create this type of dashboard, this type of page.
Brady Hugins: Alright, number 3.
Brady Hugins: vision, reading.
Brady Hugins: So there's understanding, reading, and then generating. So there's certain steps… the AI can do multiple steps, but…
Brady Hugins: It's often designed in different processes or phases, so this one is about reading images and PDFs.
Brady Hugins: So it's good at reading emails, receipts, forms… describing…
Brady Hugins: Images, grading images, pulling, data from screenshots.
Brady Hugins: Reading accounting receipts or, like, a sign-up sheet.
Brady Hugins: It's good at doing those things.
Brady Hugins: even task lists. I write down notes and tasks, and I can take a picture of my notebook, and then upload many of those for a little bit of clarification, but it can understand
Brady Hugins: what… my needs are, so…
Brady Hugins: I can go off and write in the park, or go off for a walk, or sit by the river, and go and take notes about what I need to get done, and then go and take a picture and send it to my AI-enabled ecosystem, and then it will go and
Brady Hugins: Start on the work, or position some of the information so it's…
Brady Hugins: it's more available to the system, right? It knows what…
Brady Hugins: date… what information… what… what info I'm sharing when I'm sharing the information.
Brady Hugins: So it's very contextual, it can grab some of those contacts.
Brady Hugins: Real use, auto grading.
Brady Hugins: We use it for products and looking at images. We're in the early phase of this, so it's…
Brady Hugins: A lot in development is really testing and getting everything up and running at the beginning, go through certain products, and then making sure it's working with that product, and then spreading out to the entire ecosystem through
Brady Hugins: a phasing structure, so… We… I've been developing a content system so that all the content is scored.
Brady Hugins: Appropriately, whether it's art, or a need for an art, like, we might need, like, an email header, or an email footer, or it might be, like,
Brady Hugins: A web thumbnail for the event page.
Brady Hugins: So, there's different needs, and in order to… Assess whether you're…
Brady Hugins: Audit… your web page is audited, and…
Brady Hugins: Is performing that way, you would need to run a scan of either that image or the whole page in order to grade
Brady Hugins: And give some sort of feedback grade.
Brady Hugins: for the system, and so we use AI in order to read and audit, oftentimes. Even your own information or your own deliverables, to make sure they're going out
Brady Hugins: In the appropriate way, with the appropriate context to the right people.
Brady Hugins: And then fail-safes and redos for anything that's fallen through.
Brady Hugins: Backlogging, it's called, in software development.
Brady Hugins: Okay… As far as transcriptions, recording to text.
Brady Hugins: So, it's good at near-human transcription. It's not perfect, but it can be a 98, 98, 99%. I have a little bit of an Arizona mumble, and so…
Brady Hugins: Let's see, that's… my T's… And,
Brady Hugins: you know, B's and R's can be sometimes hard to pick up.
Brady Hugins: So…
Brady Hugins: it's… it's good. You can use it reliably in the sense that it's going to get the gist, but there may be some small editing
Brady Hugins: I've noticed that the names don't always come out right, so even though you may pronounce a name or spell a name, is that the transcription almost always puts its own interpretation in, so…
Brady Hugins: You know,
Brady Hugins: so it's not always… not always spelled right. Like, SoulShine is one of our products, and it's spelled S-O-L-S-H-I-N-E, and it often comes out in transcriptions as S-O-U-L-S-H-I-N-E, or something else entirely. Because it's a unique branded name.
Brady Hugins: It's not that heard that often.
Brady Hugins: SoulShine, I don't know if there's any other… Products that match that.
Brady Hugins: So it breaks are heavy crosstalk, so if there's multiple people talking on an audio, it may not be able to discern and tell that.
Brady Hugins: Rare names, like I was saying before, and emotional nuances, or… yeah, moods and modes.
Brady Hugins: it can pick up the transcription, but not necessarily the tone, or the intention, you know, the aggression, or the softness, you know, it's…
Brady Hugins: I can't really pick up those, so… a voice note.
Brady Hugins: And a voice analysis.
Brady Hugins: is helpful in order to dynamically create a richer profile. You'll find that it'll pick up more than you expect, in some ways, too.
Brady Hugins: As well. So, it definitely covers a lot of the… Databasing need in order to… Cover the information that
Brady Hugins: One would expect for a meeting.
Brady Hugins: Image generation. This is… has been made popular also through video generation as well.
Brady Hugins: Which is really just a… Layering and animation style of multiple images.
Brady Hugins: So, Midjourney, we use Midjourney. There's Runway, Descript, many different media editing and generating tools. Midjourney does editing as well, where you can upload an image or use one of the images there, and then cut out certain areas, and then have it
Brady Hugins: Repopulate that area that you've cut out.
Brady Hugins: It helps keep consistency, but also editability, in, like, particular editability physically on the, image.
Brady Hugins: So there's… It's challenging to create, like, exact logos. Text and image can be… Jarbled and confusing.
Brady Hugins: So… and sometimes consistency across it, so…
Brady Hugins: Photoreal, like, we don't use photoreal AI generation, we only use, like, a watercolor or different stylizations that it's clear that it's stylized. The intent…
Brady Hugins: Is to have very… real pictures and videos, but also stylized with different AI imagery, or… mood…
Brady Hugins: You know, it's there to create the mood and enhance the experience.
Brady Hugins: So, oftentimes, all sorts of media uses multiple forms of media, including video and audio.
Brady Hugins: In real… in real life, and…
Brady Hugins: what I recommend people is to use a hybrid model, which is humans and AI, as according to preference, either light or heavy use, but also have humans in the mix.
Brady Hugins: Humans there for editing and review.
Brady Hugins: As a part of it.
Brady Hugins: So, match the capability of the job.
Brady Hugins: So…
Brady Hugins: Most of the AI failed us stories are over-investing into a particular sort of technology that doesn't fit the need.
Brady Hugins: And I see this all the time at enterprise level. It's usually more lean at a smaller company, but that's not always the case.
Brady Hugins: And then under… understanding how it all works. There's quite a bit of…
Brady Hugins: Database needs that are needed in order to use several different types of
Brady Hugins: tools and AI tools, so a lot of the infrastructure development and the admin development that I've been creating has been a lot of the behind-the-scenes data work and databasing in order to utilize these tools more appropriately and fully.
Brady Hugins: Takes more time, but the quality is higher over time.
Brady Hugins: So how do businesses actually use AI today? What are practical ways that they use this, and will continue to use this in the future?
Brady Hugins: Draft and review. So, AI drafts are a great way to either respond back to prospects, to write drafts and documentation for operational guidelines or business guidelines, sales and marketing meetings.
Brady Hugins: Copy, replies, summaries. It's the lowest risk. There's all sorts of information that's important for people to have on file. We record these meetings, and I send it out to people that's appropriate for my team.
Brady Hugins: And then you get instant time back, where you don't have to work on those things.
Brady Hugins: You can focus more on the creative, or on the review process, about what type of Art.
Brady Hugins: What type of subjects are important for you to create?
Brady Hugins: What direction of the business is important to go?
Brady Hugins: Do you need better fulfillment on a certain product or marketing campaign?
Brady Hugins: Extracting and routing. This is some of the behind-the-scenes infrastructure work I was talking about, where you pull a structure from emails, forms, calls.
Brady Hugins: And you send it somewhere, Where it's contextually…
Brady Hugins: Moving either a process or information, so it flags certain information so that
Brady Hugins: You're either aware of something happening.
Brady Hugins: Like, if someone fills out a form, sometimes it's really important to get back on a very quick basis.
Brady Hugins: One, to confirm that they've signed up the form. Two.
Brady Hugins: there's obvious… obviously, usually a need that they're trying to solve, or at least gather information about when they fill out the form. So, responding back to them at an appropriate time, and then putting them on a follow-up list is oftentimes a high use of AI. So, sales, marketing.
Brady Hugins: New leads.
Brady Hugins: and building tools. Building the tools is what we've done internally. Sometimes it's faster or better to…
Brady Hugins: To build the tool, rather than rely on an external tool, or to…
Brady Hugins: wait for another tool to be updated, so it's…
Brady Hugins: It can be a compounded effect, whereas if you can go and build your own tool and use it, you're definitely…
Brady Hugins: Developing at a much… Faster pace, where you can adapt and change.
Brady Hugins: I have things where I'm adding a button here, adding it for different needs, integrating different systems together, upgrading, different…
Brady Hugins: Project or messaging system, so…
Brady Hugins: It's a compounding effect when you build your own tools, if you have the discipline and enjoyment for that.
Brady Hugins: And then there's costs and privacy. So, oftentimes when we rent tools or we use.
Brady Hugins: code builders or these LLMs, there might be some hidden costs, either hardware costs or different software costs.
Brady Hugins: But also, privacy is an issue as well.
Brady Hugins: So, whether you're using an American model, or Chinese model, or whatever open model is available for
Brady Hugins: Your agentic work.
Brady Hugins: You can create it locally, where you can download a model.
Brady Hugins: And then use it for usually lower quality, depending on the hardware and style that you have set up, but usually lower quality, but…
Brady Hugins: higher routine tasks. We have a hybrid system where we can use remote.
Brady Hugins: resources, but we can also use local, and then I greatly shift over
Brady Hugins: Resources to local, and then look over quality checks.
Brady Hugins: Approvals all the way.
Brady Hugins: So, it's…
Brady Hugins: I've been building out the approval systems, and I've been building out the quality systems and the quality checks, so…
Brady Hugins: And you can run quite a bit of private, Agentic work?
Brady Hugins: that maybe… Rudimentary, or easy for some of these…
Brady Hugins: More expensive models that are just… more up-to-date, whereas…
Brady Hugins: Maybe database cleanup, or some financial checks, maybe a simple, agentic model locally would work well.
Brady Hugins: So what's overhyped?
Brady Hugins: Fully autonomous agents running your company. Now…
Brady Hugins: That's not really true, there's… there's… the idea of, like, AI slop is that…
Brady Hugins: it's… there's quite a bit that's unreviewed, that people aren't reviewing, or they aren't editing, or they're just not putting a lot of effort in, and there's quite a bit of AI interesting
Brady Hugins: Either videos or outputs that are being made that are… after…
Brady Hugins: Quite a bit of work has been put into it.
Brady Hugins: So… That's because of the human review and the human understanding of how to use the technology.
Brady Hugins: And what to build out.
Brady Hugins: It's basically AGI, Advanced… I think it's Artificial General Intelligence.
Brady Hugins: So… like humans, They're capable of extremely extraordinary pattern.
Brady Hugins: connection and seeing things, but the judgments can sometimes… well, judgment of which direction, or the quality of work, or…
Brady Hugins: humans can actually catch quite a bit of problems with AI, because they can see when things are
Brady Hugins: Out of order.
Brady Hugins: You know, we were referred to as the Uncanny Valley, which is where a human-like robot
Brady Hugins: When it's, like, a robot that looks like, you know, a fluffy little animal, we're okay with it anthropomorphizing it, but as soon as it looks a little bit like a human, we have this…
Brady Hugins: uncanny valley where we get uncomfortable with something until it becomes very human-like, or that we can have very little…
Brady Hugins: resistance to something that's very similar. So there's definitely that.
Brady Hugins: In some of the… artificial intelligence outputs.
Brady Hugins: that… It's sometimes a little bit of uncomfortableness for some people to watch, or understand.
Brady Hugins: So, one tool to rule them all, some…
Brady Hugins: companies say that this does everything, and it… it… I mean, there's some great tools out there, quite a bit, but there's…
Brady Hugins: Definitely an integration of many different types of tools that can be worked.
Brady Hugins: Together, and there's definitely advancing tools, but…
Brady Hugins: There's no tools that are doing it all.
Brady Hugins: But I see quite a bit of tools working together.
Brady Hugins: Replace your whole team.
Brady Hugins: So, it replaces tasks, not people. People make judgment calls, they…
Brady Hugins: Make phone calls, they read reports, they read emails.
Brady Hugins: They send emails.
Brady Hugins: That doesn't change at all.
Brady Hugins: So…
Brady Hugins: what it does is it replaces quite a bit of the background work, right? It's like writing the report or checking on the report for some of the financial data, or making sure your website's up and going, or the copy is good.
Brady Hugins: Contextual information.
Brady Hugins: So, what does AI look over the next 6 to 18 months? Now, this isn't a direct predictor, but you can see that there's general directions that… where AI is developing.
Brady Hugins: And based on my own… work and analysis, I view these as very likely
Brady Hugins: to be in the next 6 to 18 months, so this is the end of 2027, 2000…
Brady Hugins: 2026 all the way to the end of 2027.
Brady Hugins: Agents that reliably do multi-step work with guardrails and review. This is already true with some of the more advanced
Brady Hugins: Agents that are doing… Different views and running multiple agents at the same time.
Brady Hugins: Where there's, like.
Brady Hugins: An overall agent where you ask questions, and then it'll spin out sub-agents in order to plan.
Brady Hugins: And review what's currently available.
Brady Hugins: In order to get a better contextual picture.
Brady Hugins: So, I'm already running agents with guardrails and review processes already.
Brady Hugins: They can take longer, but that's just based on the hardware that's…
Brady Hugins: Currently available. That will get faster over time.
Brady Hugins: longer memory and context. So, models that hold a whole project, not just a page. So…
Brady Hugins: Having proper context and longer memory… there's two reasons for this.
Brady Hugins: Every time… a AI model looks at
Brady Hugins: the information that you're giving it in order to create an output, it reads the context. So, imagine it going to sleep, and then having very little memory of what happened before.
Brady Hugins: And then waking up and working on something that's a lot of how AI works, where it kind of wipes its brain, and then it starts again.
Brady Hugins: So having the proper context, is important.
Brady Hugins: Longer memory, so you see this in some of the Claude code, the Claude projects.
Brady Hugins: And keeping track of Markdown and documents that it refers to at later times, so you have a better API or MCP access, and…
Brady Hugins: To your own database?
Brady Hugins: So, that's important.
Brady Hugins: And then you're able to do more ecosystem development, where I can see.
Brady Hugins: Many different pages, many different projects when you're working on
Brady Hugins: Some of the more advanced work.
Brady Hugins: Multiple modality by default. Again, this is sometimes what's available to some of the
Brady Hugins: Nicer agents at the moment, and will be more available.
Brady Hugins: Reading texts, images, videos, all together, so…
Brady Hugins: You don't have to have different skills, it's already built in.
Brady Hugins: Or different…
Brady Hugins: Sub-agents, they're already built in for some of the more common use, or you can add on pretty easily more abilities, so multi-modality by default, so you can ask more generalized questions.
Brady Hugins: And costs. Costs keep falling, and more capable local models. I've started seeing this as… isn't necessarily cost… costs keep falling, but hardware costs, as people generally know, is that there's a general fall in depreciation in hardware costs.
Brady Hugins: Every year.
Brady Hugins: The tech gets better and better with chips and… Different upgrades in the systems.
Brady Hugins: So what happens is we're able to run more because of the improved models on our local hard drives and our local servers, and what works locally.
Brady Hugins: We have more complex models that we're able to grab, so we're able to do more different types of work in complexity.
Brady Hugins: With that… And have more…
Brady Hugins: really data sovereignty, what I see is data sovereignty, which is where you're running your own systems, your own data, you see what's going on.
Brady Hugins: And you have a… healthy… Ecosystem. Healthy kingdom.
Brady Hugins: be more and more available.
Brady Hugins: So, what to do now?
Brady Hugins: Build the habit, so… Start by using AI,
Brady Hugins: Exploring different tools, draft and review.
Brady Hugins: in a project or something that you're working on, whether you're building out… I've had friends use it for building out a garage.
Brady Hugins: I've used it for, you know, running for, applications and agricultural work.
Brady Hugins: Also, also get your data clean. Hygiene is always an important process, so making sure that your database is working, and you're… have proper backups in place, and then you have…
Brady Hugins: You know the locations, a lot of the…
Brady Hugins: Texts or images or photos, whatever you have that you're wanting or working with, you want to make sure your data library is generally clean and well located.
Brady Hugins: And then keep a human in the loop. On default, I almost always have an approval process, because I know there's going to be errors, especially at the beginning of testing.
Brady Hugins: So I systemically add in gates and deployments, rather than try to do full builds
Brady Hugins: Where I try to solve everything right at the beginning.
Brady Hugins: I try to solve it system by system, as I have the time and availability.
Brady Hugins: match each job to the right capabilities. So, we talked about 5 today. So, when you have…
Brady Hugins: Your own business needs.
Brady Hugins: Whether you're… You know, operating in a truck every day, or you're… Maybe you work from home.
Brady Hugins: And you're a knowledge worker.
Brady Hugins: We're your salesperson.
Brady Hugins: We're in marketing, and so…
Brady Hugins: know what… basically what needs that you have as a job, and start using some of the tools in order to develop them. You'll be surprised by how much outputs you can create with some of them.
Brady Hugins: So go deeper when you're ready?
Brady Hugins: So… If you are… want some more…
Brady Hugins: We have plenty of free material available, on MirrorMirror, with lots of workflows to look through on our website. We also have our weekly series here, where we're inviting new people, or anyone that wants to review some of the basics.
Brady Hugins: Of data sovereignty and building out their own ecosystem, technical… technology ecosystem.
Brady Hugins: You could be an independent or a business operator.
Brady Hugins: Happy to talk, so you can email me at brady at roseinthegrove.com, or check us out at mirrormirror.rosandthegrove.com.
Brady Hugins: We teach what we build here, so you can rest assured that we've already tried and tested these
Brady Hugins: Directions before we've used them, and made our own mistakes and errors, and then checked in on those and fixed them as we can.
Brady Hugins: Good. Well, thank you for time today, appreciate you being here, and we will…
Brady Hugins: Catch you at the next webinar, hopefully, and thank you.
Brady Hugins: Okay, I'm Brady with Mirror Mirror Systems. Thank you.