Frank(enstein) SEO

Founder @ LLM Scout & Orchid Box | AI Visibility & B2B Lead Generation | Helping brands get found by ChatGPT, Gemini & Perplexity

[Frank(enstein) SEO @frankseo]

If an AI agent can't understand your product data, it recommends the competitor that it can read.

AND You never see the lost sale because it was never a visit.

Get ready: https://t.co/JZjQcS32ww

[PaymentsNews.com @paymentsnews]

Vendoora Opens Waiting List to Help Retailers and Service Businesses Prepare for Agentic Commerce
https://t.co/vIjQ62ku6c
#Payments

[Frank(enstein) SEO @frankseo]

EDF Energy pursues landlords and homeowners for inflated bills based on estimated readings at empty properties, then refers disputed debts to collection agencies before complaints are resolved.

Fight Back ! #edf

https://t.co/3JRUGREToc

[Frank(enstein) SEO @frankseo]

Stop sending everything to APIs.


Run more locally. Spend less.


Code Scout → https://t.co/heCIqiv6oA

[Frank(enstein) SEO @frankseo]

Best Free AI Coding Setup? Code Scout + Ollama Full Tutorial

https://t.co/n5Kul9BhtH

[Frank(enstein) SEO @frankseo]

Code Scout is live. Free to download. https://t.co/heCIqiv6oA

API bills were getting out of hand. Local AI IDE that lets you actually control what model runs what task instead of sending everything to OpenAI and hoping for the best.

Going open source soon

[Frank(enstein) SEO @frankseo]

AI agents shouldn’t cost $5 to fill a form.
Code Scout fixes that.


👉 https://t.co/heCIqiv6oA

[Frank(enstein) SEO @frankseo]

Running local models like #Qwen is great… until they get stuck.

Code Scout now detects failure and lets the orchestrator take over automatically.
From crash → completion. #buildinpublic

[Frank(enstein) SEO @frankseo]

@KaiXCreator 128GB+ then you can install local models and code off line :)

[Frank(enstein) SEO @frankseo]

@Bober_smart Agree with this.

Hardware + local models is step one, but without a proper agent loop it’s still pretty manual.

I’ve built Code Scout to solve that, local-first agent that actually runs tasks end-to-end.

If you’re up for testing it on your Mac Mini, I can give you access.

[Frank(enstein) SEO @frankseo]

Built a cross-platform desktop app without owning Windows or Linux.

Tauri + GitHub Actions runners = ship Mac, Windows & Linux from one machine.

That’s how I built Code Scout 👀

Local AI, real tools, zero API lock-in.

[Frank(enstein) SEO @frankseo]

@ivanfioravanti Ciao @ivanfioravanti ! Have you experimented with Local AI? Built a code IDE from the ground up for small coding models:
https://t.co/heCIqiv6oA

[Frank(enstein) SEO @frankseo]

@uixamjad Have you experimented with Local AI?
Built a code IDE from the ground up for small coding models:
https://t.co/heCIqiv6oA

[Frank(enstein) SEO @frankseo]

@Adidotdev Have you experimented with Local AI?
Built a code IDE from the ground up for small coding models:
https://t.co/heCIqiv6oA

[Frank(enstein) SEO @frankseo]

@aryagm01 Have you experimented with Local AI? Do you find it hard to do using the usual IDEs (cursor, VS code, Windsurf)?

Built a code IDE from the ground up for small coding models:
https://t.co/heCIqiv6oA

[Frank(enstein) SEO @frankseo]

@shiri_shh Anyone here experimenting with Local AI a part from OpenClaw?
I built a code IDE specifically for small coding models:
https://t.co/heCIqiv6oA

[Frank(enstein) SEO @frankseo]

@AuthenticDom Curious who’s actually using Local AI?
Built a code IDE designed for small coding models:
https://t.co/heCIqiv6oA

[Frank(enstein) SEO @frankseo]

@AlexFinn amazing --> please please test https://t.co/heCIqiv6oA we would like your feedback 🙏🙏

[Frank(enstein) SEO @frankseo]

Shipped with Local AI 👇

Kimi 2.5 + Qwen (local) → desktop app

164M tokens later…

Not a demo.
Used daily.
UK property tool: finds & ranks deals.

Not for sale. Edge only.

Local AI = slower, cheaper, more control

Only thing that matters:
did you ship?

[Frank(enstein) SEO @frankseo]

Can Gemma 4 be your orchestrator & instruct code agents to write code for you?

Simple answer: NO.

Gemma isn’t built for tool use:
• no native function calling
• no reliable structured outputs
• weak multi-step planning

Use a stronger planner → let Gemma execute.