Synthetic intelligence is changing into a part of increasingly of our each day lives. Persons are utilizing it to write down emails, summarize conferences, plan holidays, brainstorm concepts, and even assist with coding. These are all nice use circumstances, however not too long ago I questioned whether or not AI may assist with one thing a lot nearer to the guts of HomeTechHacker: reviewing a house community.
Not by changing an skilled community administrator. Not by mechanically configuring firewalls. And, definitely not by blindly making adjustments.
As an alternative, I wished to see if AI may do one thing rather more sensible: act as an skilled guide offering a second opinion on a community I’ve been constructing and refining for years.
Whereas AI definitely didn’t exchange my expertise, it validated a lot of my design selections, recognized a number of enhancements I hadn’t thought of, and even instructed higher methods to doc my community. It jogged my memory that one in all AI’s best strengths isn’t changing experience, somewhat, it’s serving to educated individuals suppose extra critically about methods they’ve develop into aware of.
When you have a documented house community, I feel you need to attempt it too.
Editor’s word: HomeTechHacker additionally offers has an article about refreshing your property community that you need to try..
Why I Tried This
I’ve been constructing house networks for many years. Like many know-how lovers, my community didn’t seem in a single day. It has advanced over years of experimentation, {hardware} upgrades, new sensible house gadgets, virtualization tasks, safety enhancements, and altering priorities.
Some items are model new. Some have been working reliably for years.
Some selections had been made as a result of they had been the best choice on the time. Others had been intentional compromises based mostly on price, complexity, or practicality.
After residing with the identical community for lengthy sufficient, it’s straightforward to cease questioning your personal selections. You realize why one thing is configured a sure manner, so that you naturally assume it nonetheless is smart.
That’s the place I believed AI would possibly present worth.
Reasonably than asking ChatGPT to design a community from scratch, I wished it to evaluation one which already existed.
I wished to know:
- What would it not reward?
- What would it not query?
- What had I ignored?
- What enhancements would it not suggest?
- Would its recommendation really be helpful?
Most significantly, I wished to know whether or not this was one thing different HomeTechHacker readers may realistically do themselves.
AI Isn’t Your Community Administrator
Earlier than we go any additional, it’s necessary to set expectations. I don’t imagine AI needs to be making adjustments on to your community. I wouldn’t ask ChatGPT to rewrite firewall guidelines after which blindly paste them into pfSense. I wouldn’t let it redesign my IP addressing scheme with out fastidiously reviewing each advice.
And I definitely wouldn’t belief any AI software with administrator passwords, VPN keys, or delicate configuration recordsdata.
That’s not what this experiment was about. As an alternative, I approached AI the identical manner I might method a educated junior guide. Think about inviting one other skilled IT skilled to evaluation your documentation.
They aren’t changing you.They aren’t taking on your community.They’re merely taking a look at your design with recent eyes and asking considerate questions.
Good Documentation Made This Potential
One factor grew to become clear virtually instantly:
The standard of the AI’s suggestions depended solely on the standard of the documentation I supplied. I didn’t add configuration backups from pfSense, export change configurations, or present firewall guidelines.
As an alternative, I shared one thing I feel each severe house community ought to have anyway: a complete community diagram.
Through the years, I’ve invested time in documenting my community in order that it serves as a whole reference somewhat than only a fairly image.
My diagram included:
- Bodily community topology
- Main infrastructure gadgets
- Servers and virtualization hosts
- Switches and entry factors
- System placement
- IP addresses
- Wi-fi SSIDs
- Swap port assignments
- Core providers
- Web connection
- Vital relationships between methods
As a result of the whole lot was documented in a single place, ChatGPT had sufficient context to grasp how my community was designed with no need direct entry to any of the methods themselves.
That, in itself, was an attention-grabbing lesson.
In case your documentation isn’t detailed sufficient for AI to grasp your community, it’s most likely not detailed sufficient for one more individual—and even your future self—to grasp it both.
Defending Your Privateness
Earlier than importing any documentation to an AI assistant, spend a couple of minutes occupied with privateness.
I deliberately did not add:
- Passwords
- VPN keys
- Firewall configuration recordsdata
- Certificates
- API keys
- Backup recordsdata
- Something that would present direct administrative entry
Though my community diagram contained inside IP addresses and system names, I used to be comfy sharing that stage of data for this experiment. Relying in your consolation stage, you might need to sanitize your documentation additional earlier than importing it.
I additionally suggest utilizing ChatGPT’s Momentary Chat function (or your AI assistant’s equal privateness mode) for those who don’t need your conversations used to enhance future fashions. Most main AI assistants now supply settings that help you disable chat historical past or mannequin coaching for delicate conversations.
The objective is to provide AI sufficient info to offer significant suggestions with out exposing something that would compromise your safety.
The Immediate I Used
One of many issues I respect most about AI is that higher prompts typically result in higher outcomes. Reasonably than asking a obscure query like, “Is my community good?” I requested ChatGPT to behave like a community guide reviewing my surroundings.
My immediate regarded one thing like this:
Please evaluation my house community documentation as for those who had been an skilled community guide. Consider the design for safety, reliability, efficiency, scalability, and documentation high quality. Establish strengths, weaknesses, potential dangers, and enhancements. Clarify the reasoning behind every advice and ask clarifying questions somewhat than making assumptions when info is lacking.
ChatGPT often defined when it lacked sufficient info to attract a conclusion. That made the dialog rather more helpful.
Editor’s word: HomeTechHacker additionally offers an annual house know-how tune-up guidelines that may help with enhancing your property community.
The Verdict: An A-
After reviewing my documentation, ChatGPT gave my community an total grade of A-.
I wasn’t anticipating a grade in any respect. Its total evaluation was encouraging:
- The structure appeared thoughtfully designed.
- The community had clearly advanced over time somewhat than being assembled randomly.
- Safety seemed to be a precedence.
- The documentation was considerably extra complete than what it usually sees.
Particularly, ChatGPT praised the truth that my documentation mixed:
- Bodily topology
- System placement
- Wi-fi SSIDs
- Swap port assignments
- IP addresses
- Main infrastructure
right into a single reference doc.
It commented that this made the community a lot simpler to grasp than documentation that solely targeted on bodily wiring or IP addressing. As somebody who has spent years step by step enhancing that documentation, it was good to have that effort validated.
Extra importantly, it strengthened one thing I’ve believed for a very long time:
Good documentation isn’t only for catastrophe restoration. It’s a software for higher choice making.
Validation Was Extra Priceless Than I Anticipated
Earlier than working this experiment, I assumed probably the most worthwhile half could be the suggestions. That wasn’t what impressed me most. What impressed me was the validation. ChatGPT didn’t instantly start criticizing each side of my design. It acknowledged good selections, acknowledged considerate planning, and it recognized areas the place I had clearly prioritized reliability and maintainability.
Solely after establishing that context did it start recommending enhancements. That made the ideas a lot simpler to belief.
As an alternative of feeling like generic “greatest practices,” they felt like suggestions tailor-made to a community that was already in fairly good condition.
AI isn’t significantly helpful if it tells each reader to “use stronger passwords” or “preserve your software program up to date.” What impressed me was that it moved past generic recommendation and targeted on higher-level architectural enhancements.
The First Shock
The very first advice wasn’t about safety, Wi-Fi, or {hardware}. It was about documentation.
In actual fact, a few of the most helpful ideas all through the audit had nothing to do with networking know-how in any respect. They had been about making the community simpler to grasp, preserve, troubleshoot, and enhance over the subsequent a number of years.
Subsequent, we’ll dive into the suggestions ChatGPT made—from VLANs and future-proofing to documentation enhancements, catastrophe restoration, and the questions that made me cease and rethink years of collected selections. We’ll additionally take a look at the place AI lacked context, the place I disagreed with its suggestions, and why human judgment remains to be an important a part of any community audit.
What AI Discovered (And What I Discovered)
As soon as ChatGPT completed reviewing the general structure, it started making particular suggestions. Some confirmed selections I’d already made, whereas others recognized alternatives I hadn’t significantly thought of.
The necessary factor to recollect is that AI wasn’t taking a look at my community as somebody who constructed it. It was taking a look at it as an skilled guide seeing it for the primary time. That perspective is extremely worthwhile.
Suggestion #1: Transfer to VLANs
The most important architectural advice was additionally the one I anticipated.
My community presently makes use of a single IP subnet (192.168.1.0/24), however a number of wi-fi SSIDs to separate several types of gadgets. Trusted computer systems and telephones join to 1 SSID, sensible house gadgets join to a different remoted community, and friends have their very own remoted community.
For a lot of houses, that’s already a big enchancment over inserting the whole lot on one wi-fi community. Nonetheless, ChatGPT identified that true community segmentation with VLANs would supply stronger isolation and make the community simpler to handle because it continues to develop.
It instructed finally separating networks for:
- Trusted gadgets
- IoT gadgets
- Safety cameras
- Visitor gadgets
- Servers
- Administration interfaces
- Lab environments
From a technical perspective, it’s proper. VLANs are a cleaner, extra scalable answer.
Why I Haven’t Switched But
This is likely one of the first locations the place human judgment issues. Not each change in my house helps VLANs. Changing in any other case completely useful {hardware} merely to implement VLANs doesn’t presently present sufficient profit to justify the price or effort.
AI tends to suggest the technically supreme answer. Skilled directors steadiness technical beliefs towards price, complexity, time, and precise danger.
Will I finally transfer to VLANs? In all probability. However not quickly. As an alternative, it turns into a part of my longer-term improve roadmap somewhat than an instantaneous motion merchandise.
Suggestion #2: Isolate Safety Cameras
One other advice was to stop my safety cameras—significantly a few of my older fashions—from speaking immediately with the Web. Wonderful recommendation however I already do that.
The explanation ChatGPT beneficial it wasn’t as a result of it discovered a safety gap. It beneficial it as a result of my community diagram didn’t embody firewall guidelines. This completely illustrates one in all AI’s limitations. It may possibly solely consider the knowledge you present. It doesn’t know what isn’t documented. On this case, my pfSense firewall already prevents these cameras from reaching the Web.
I’d somewhat AI suggest one thing I’m already doing than assume it’s configured appropriately.
Suggestion #3: My Spine Swap Is a Single Level of Failure
ChatGPT appropriately noticed that my central change represents a single level of failure. If it fails, many of the community goes down.
Would I construct an enterprise community that manner? No. Would I like to recommend redundant core switches for many houses? Additionally no.
That is one other instance of balancing danger towards complexity. Including redundant switching infrastructure would enhance price, complexity, upkeep, energy consumption, and rack house.
For my house, the tradeoff isn’t price it. If the change ever fails, I’ll exchange it. In actual fact, I’ve a spare change at house I can use.
Typically “adequate” actually is sweet sufficient.
Suggestion #4: Begin Planning for Multi-Gig
This advice was significantly attention-grabbing as a result of it aligned virtually completely with my very own plans. ChatGPT instructed step by step upgrading the community spine to assist 2.5GbE or quicker networking over the subsequent a number of years. As a result of bandwidth calls for proceed to develop.
Between:
- Community-attached storage
- Virtualization
- AI workloads
- Giant backups
- Excessive-resolution media
- Sooner Web connections
there are merely extra alternatives to profit from multi-gig networking than there have been a couple of years in the past.
This advice strengthened one thing I’ve already been writing about not too long ago.You don’t want to switch each change in your house in a single day. However when it’s time to improve, selecting multi-gig succesful gear typically is smart. That’s precisely the technique I’m following.
As I exchange core infrastructure, new {hardware} will virtually definitely assist a minimum of 2.5GbE.
The Greatest Suggestions Had Nothing to Do With Networking
The suggestions that impressed me most weren’t about networking in any respect. They had been about documentation.
Model Your Community Diagram
I’ve at all times dated my diagrams. ChatGPT instructed one thing higher; that I model them.
As an alternative of:
NetworkDiagram-2026.pdf
Use one thing like:
HomeNetwork-v2.4.pdf
Then preserve a easy change log.
For instance:
Model 2.4
- Added new entry level
- Changed UPS
- Retired outdated desktop
- Up to date IP reservations
Coloration-Code System Varieties
One other suggestion I instantly preferred was utilizing constant colours all through the diagram. e.g., infrastructure, servers, trusted gadgets, IoT, safety cameras, retired {hardware}, ab gear, and so on.
Nothing revolutionary, however it might make the documentation a lot simpler to scan.
Break up Giant Diagrams
My present community diagram tries to seize practically the whole lot:
- Bodily structure
- IP addressing
- Infrastructure
- Wi-fi
- Companies
- Relationships
ChatGPT instructed separating this into a number of diagrams.
For instance:
- Bodily topology
- Logical topology
- IP allocation
- Rack structure
- Web providers
I haven’t determined whether or not I’ll do that. One cause I like a single complete diagram is that the whole lot is seen in a single place.
Then again… Because the community continues to develop, separate diagrams could develop into simpler to keep up. It’s an thought price contemplating.
It Discovered Documentation Drift
This was maybe probably the most worthwhile discovery. ChatGPT observed duplicate IP addresses assigned to totally different gadgets. Luckily this wasn’t an precise community downside. It was a documentation downside.
IPs modified over time, however my documentation didn’t at all times sustain.
Catastrophe Restoration Nonetheless Wants Work
One advice saved showing in several types all through the dialog: Write a community runbook.
A runbook solutions questions like:
- How do I get well pfSense?
- How do I rebuild Proxmox?
- How do I restore Dwelling Assistant?
- Which providers ought to come on-line first?
- The place are backups saved?
- What credentials are required?
If another person wanted to get well my community—or if I wanted to do it after a number of years—I shouldn’t need to depend on reminiscence.
I’ve components of that, however I can do higher.
Editor’s word: A part of catastrophe get well consists of backups. Right here’s easy methods to construct a funds backup server.
Some Suggestions Validated Current Work
Not each advice resulted in a brand new mission. For instance, ChatGPT instructed automating backups for:
- pfSense
- Dwelling Assistant
- Docker Compose
- Swap configurations
- Virtualization hosts
A lot of that’s already automated. AI couldn’t know that as a result of these methods weren’t included within the documentation I shared.
The Most Priceless Half Wasn’t the Suggestions
Towards the tip of our dialog, I requested ChatGPT a unique query. As an alternative of asking for extra suggestions, I requested:
In case you had been a senior community guide, what questions would you ask that my documentation doesn’t reply?
Reasonably than producing one other checklist of enhancements, it generated dozens of considerate questions overlaying:
- Safety philosophy
- Catastrophe restoration
- Capability planning
- {Hardware} lifecycle
- Monitoring
- Wi-fi design
- Dwelling Assistant dependencies
- Firmware administration
- Web failover
- Documentation requirements
These questions made me understand one thing. Skilled consultants don’t present worth as a result of they know each reply. They supply worth as a result of they know which inquiries to ask. In some ways, that’s precisely what AI did throughout this train.
It didn’t magically redesign my community. It inspired me to consider it extra critically than I had in years. And that turned out to be way more worthwhile than I anticipated.
Methods to Audit Your Personal Dwelling Community with AI
In case you’ve made it this far, you is perhaps questioning whether or not your personal community would profit from the identical sort of evaluation. I feel the reply is sure.
Whether or not you’ve got a easy Wi-Fi router out of your ISP or a rack filled with networking gear, AI can present a helpful second opinion. The secret’s understanding what info to share, what info to maintain personal, and easy methods to consider the suggestions you obtain.
The method I adopted can simply be repeated, and also you don’t want an enterprise community to profit from it.
Step 1: Begin with Good Documentation
The standard of the audit will rely virtually solely on the standard of the knowledge you present.
My community diagram wasn’t one thing I created particularly for this experiment. It has advanced over a few years and serves as the first reference for my house community. As a result of it consists of bodily structure, logical relationships, IP addresses, wi-fi networks, change ports, and main infrastructure, ChatGPT had sufficient context to grasp how the whole lot match collectively.
Your documentation doesn’t should be as detailed as mine to get began, however it ought to reply some primary questions:
- Can somebody unfamiliar together with your community inform how gadgets join collectively?
- Can they establish your router, switches, entry factors, servers, NAS, and Web connection?
- Can they perceive which wi-fi networks exist and what they’re used for?
If the solutions are sure, you’re most likely in good condition. If not, I’d encourage you to enhance your documentation first. Even for those who by no means use AI, you’ll respect having correct documentation the subsequent time you troubleshoot an issue, exchange {hardware}, or revisit your community after a number of months.
Step 2: Defend Delicate Info
Earlier than importing something to an AI assistant, take a couple of minutes to consider what it really wants.
For this audit, I deliberately prevented sharing configuration backups, administrator credentials, VPN keys, certificates, API tokens, or something that would compromise my community if uncovered.
A community diagram is normally adequate for an architectural evaluation. In case you do resolve to share configuration recordsdata, think about eradicating or masking delicate info first.
I additionally suggest utilizing ChatGPT’s Momentary Chat function, or the equal privateness mode supplied by your most well-liked AI assistant. Most main AI platforms now help you disable mannequin coaching or stop conversations from being saved. When reviewing details about your property community, it’s price making the most of these choices. It’s possible you’ll need to think about doing this because the default for any info you give your chosen AI platform.
Step 3: Give AI a Function
One factor I’ve realized from utilizing AI repeatedly is that it performs higher while you clearly outline the position you need it to play. As an alternative of asking, “What do you consider my community?” attempt asking it to evaluation your documentation as if it had been an skilled community guide.
That small change encourages extra considerate suggestions. Reasonably than merely itemizing generic greatest practices, the AI is extra more likely to clarify why it’s making a advice and the place it sees alternatives for enchancment.
I additionally suggest asking it to establish strengths in addition to weaknesses. A very good evaluation ought to let you know what you’re doing effectively, not simply what you need to change.
Step 4: Consider the Suggestions
AI is superb at recognizing patterns, evaluating designs towards greatest practices, and figuring out alternatives for enchancment. It’s a lot much less able to understanding your priorities, funds, tolerance for complexity, or long-term plans.
All through my audit, I discovered myself inserting every advice into one in all 4 classes:
Implement instantly.
These had been typically small enhancements that required little or no effort, corresponding to enhancing my documentation or correcting outdated info.
Plan for the long run.
Shifting to multi-gig networking is an effective instance. I already deliberate to make that transition over time, and ChatGPT strengthened that call with out suggesting I exchange the whole lot instantly.
Already carried out.
A number of suggestions, corresponding to mechanically backing up necessary methods or blocking Web entry for my safety cameras, had been issues I had already achieved. They weren’t mirrored in my documentation, so the AI had no manner of realizing they existed.
Not price doing—a minimum of for now.
Each community entails tradeoffs. My spine change is a single level of failure, however including redundant switching infrastructure would enhance each price and complexity with out offering sufficient worth for my house surroundings.
Your checklist will virtually definitely look totally different, and that’s precisely the purpose. AI offers suggestions. You resolve which of them make sense.
Immediate Concepts to Get Higher Outcomes
Probably the most helpful outcomes of this experiment was discovering how a lot distinction an excellent immediate could make.
Listed below are some prompts I’d suggest making an attempt with your personal community.
Basic Overview
Overview my house community as for those who had been an skilled community guide.
Grade my community for safety, reliability, efficiency, scalability, and documentation high quality.
What are the largest strengths of this community?
What are the largest weaknesses?
Safety
What gadgets needs to be remoted from the remainder of my community?
What safety dangers stand out from this documentation?
What further protections would you suggest?
Are there any gadgets that concern you?
Reliability
Establish any single factors of failure.
What enhancements would make this community extra dependable?
What elements needs to be protected by a UPS?
What {hardware} failures would have the best affect?
Efficiency
The place would multi-gig networking present the best profit?
Do you see any potential bottlenecks?
How would you enhance Wi-Fi efficiency or roaming?
What upgrades would supply the largest efficiency enchancment for the least price?
Documentation
Critique my documentation.
What necessary info is lacking?
How may this diagram be simpler to keep up?
What documentation would assist one other individual handle this community?
Catastrophe Restoration
Assist me create a runbook for rebuilding this community.
What methods needs to be backed up?
What restoration procedures needs to be documented?
What ought to I check periodically to make sure my backups really work?
Lengthy-Time period Planning
Primarily based on this design, what upgrades ought to I prioritize over the subsequent 5 years?
Which {hardware} is more likely to develop into out of date first?
What applied sciences ought to I start planning for now?
You don’t must ask each query in a single dialog. I discovered it extra productive to deal with the audit as an ongoing dialogue somewhat than a one-time evaluation.
The place AI Excels
After spending time with this experiment, I feel AI is especially good at 4 issues.
First, it critiques documentation objectively. As a result of it isn’t emotionally connected to the design, it notices inconsistencies and asks questions which are straightforward to miss while you’ve lived with the identical community for years.
Second, it compares your community towards established greatest practices. Even while you deliberately select a unique method, understanding the usual advice helps you make better-informed selections.
Third, it encourages long-term pondering. A number of of the ideas I obtained weren’t pressing, however they helped me take into consideration the place my community needs to be in three to 5 years somewhat than merely fixing in the present day’s issues.
Lastly, it generates glorious questions. A number of the most useful moments throughout my audit got here when ChatGPT requested about issues my documentation didn’t reply. These questions prompted me to consider firmware administration, catastrophe restoration, monitoring, and {hardware} lifecycle planning in methods I hadn’t thought of not too long ago.
The place Human Expertise Nonetheless Issues
For all of its strengths, AI nonetheless lacks one thing necessary: context.
It doesn’t know your funds, your loved ones’s wants, your tolerance for complexity, or the explanations behind each design choice you’ve made.
In my case, it beneficial VLANs, that are extensively thought of a greatest apply. Technically, it’s a sound advice. On the similar time, implementing VLANs in the present day would require changing {hardware} that continues to carry out effectively and meets my present wants. That doesn’t make the advice incorrect. It merely means the timing isn’t proper for my surroundings.
The identical was true for a number of different ideas. AI recognized alternatives that had been price contemplating, however deciding whether or not to behave on them nonetheless required expertise and judgment.
That’s why I view AI as a educated assistant somewhat than an autonomous skilled. It helps me suppose via issues extra totally, however I stay answerable for the ultimate selections.
Closing Ideas
After I began this experiment, I wished to see whether or not ChatGPT may carry out a helpful house community audit. The reply is sure—however most likely not for the explanation I anticipated.
The best worth wasn’t discovering hidden safety flaws or dramatically redesigning my community. It got here from having one other set of eyes evaluation years of collected selections, validate a lot of what I’d constructed, and encourage me to suppose extra deliberately about what comes subsequent.
A number of the suggestions will develop into future tasks. Others confirmed that I used to be already transferring in the appropriate course. Just a few jogged my memory to complete work that had been sitting on my to-do checklist for a lot too lengthy. Even the suggestions that didn’t apply had been worthwhile as a result of they prompted me to confirm my assumptions and make sure that the safeguards I anticipated had been really in place.
This expertise additionally strengthened one thing I’ve come to imagine after utilizing AI extensively over the previous couple of years: its best worth typically isn’t offering solutions—it’s serving to us ask higher questions. These questions can expose blind spots, problem assumptions, and encourage us to have a look at acquainted methods from a recent perspective.
That’s why I feel each house know-how fanatic ought to do that train. It approaches your community with out years of assumptions, habits, and familiarity. It sees what you’ve documented, compares it towards greatest practices, and asks questions you might not have thought of in years. Typically that’s precisely the angle you want.
That doesn’t imply you need to blindly comply with each advice. AI doesn’t know your funds, your targets, your tolerance for complexity, or the explanations behind each design choice you’ve made. Expertise and judgment nonetheless matter. Consider AI as one other software in your toolbox—one that may evaluation, query, and counsel, however one that also depends on you to make the ultimate choice.
That’s additionally one of many central concepts behind my new ebook, Your Life, Solved: 42 Sensible Methods AI Can Assist You Save Time, Scale back Stress, and Get Extra Executed. All through the ebook, I discover sensible methods to make use of AI to reinforce your pondering and productiveness somewhat than exchange your experience. This community audit turned out to be one in all my favourite examples of that philosophy in motion.
I began this experiment hoping AI would inform me one thing I didn’t already know. It did. Not as a result of it understood networking higher than I do, however as a result of it helped me take a look at my very own community in another way. That’s a lesson I’ll carry into future tasks, and one I feel is price making use of far past house networking.
When you have a documented house community, spend a night asking your favourite AI assistant to evaluation it. You would possibly come away with a couple of enhancements to make, slightly extra confidence within the selections you’ve already made, and a greater understanding of the place your community ought to go subsequent.
