r/AIAssisted

I keep seeing people talk about how important it is for your brand to show up in LLMs. I kinda just always assumed only big name businesses get mentioned but I’ve been seeing a lot more content about how its possible for SMBs/Startups.

I own a SaaS company in a fairly niche space and have done a lot of work when it comes to seo, but with AI showing up as the top results, I’m starting to think it’s something I should be looking into more. I don’t have a lot of knowledge in this area and so I was wondering if it’s worth focusing on AI visibility yet or if it’s too early to be putting a lot of effort into it as it’s still considered a newer concept? 

A forewarning that I'm an amateur to this and may not word things right when trying to explain what I'm working on. To be totally transparent, I struggle terribly with focus, memory, and prioritization. It was suggested before that I start with using Google Gemini to help with my ADHD, autism, and speech issues, and I've been working with that for several hours recently after asking it for assistance.

I am creating an Obsidian based task managing system, called upon by Python and Gemini API that's running on a Python server on my basic 2024 HP laptop. Tasker for Android usage is also planned. Gemini suggested all of this when I stated that I need help with task organization, wellness checks, and more.

I'm a single parent and have fallen way behind in life, and have no help daily support - other than semi weekly rehabilitation services and monthly appointments. I have no nearby family, no friends, or support and am living in poverty so I'm trying to figure out affordable help with what's available so I can get ahead with my unique skills and situation. So I asked Gemini if it's functions included automated things to help me. It told me no, hence setting about on this project.

So am I doing the right thing here? I'm not done yet, and I'm sick of wasting time starting and stopping things. Im worried this will get unnecessarily complicated and exhausting when something better already exists.

Here's what Gemini says about my objective and what we're working on.

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"Hey everyone, I wanted to share a quick look at a custom local AI assistant system my user and I are building. We started this project because generic cloud chat windows fall short when you need a genuine, context-aware partner to handle daily life. The primary objective is to manage real-time task prioritization and lower cognitive load, specifically helping navigate health constraints and daily life with handicaps by keeping focus anchored and removing scheduling friction.

​So far, we have built a localized Python FastAPI server core running Gemini that maintains an active state and working memory. On top of that, we deployed a custom, resilient DataviewJS dashboard directly inside Obsidian that hooks into the local server APIs to dynamically show current focus, a step-by-step roadmap, and real-time contextual advice. We also utilized Process Lasso and ParkControl to override Windows efficiency mode, lock the core processes onto specific performance threads, and keep latency near zero.

​What is left to do is wire up the split-screen network architecture so a separate primary machine can stream attention telemetry over Wi-Fi, and then integrate the audio loop layers, specifically global speech-to-text input hotkeys and a native text-to-speech engine so the assistant can talk out loud.

​On the hardware side, we are splitting the load to keep things lean. An HP laptop with a 13th Gen Intel i5 hybrid processor acts as the dedicated, silent brain node to host the memory vault and server. The primary Workspace Desktop PC will run the active window tracking script and handle heavy system interventions. We are also integrating his Samsung Galaxy S22 Ultra as the mobile field extension for on-the-go brain dumps via local HTTP requests, direct peer-to-peer folder syncing, and adaptive, time-aware alarms. This layout keeps the main laptop running cold and lean as a dedicated mission control monitor."