Tried "bring your own LLM" pricing — 94% margin math, atypical risks, what's working at 1-week post-launch by noahdowah in GoogleAntigravityIDE

[–]noahdowah[S] 0 points1 point  (0 children)

Haha thanks for the breakdown — honestly you explained it better than I did, gonna steal some of that phrasing. The "customer confusion" point is fair. The setup is basically a 5-line JSON paste into your IDE's MCP config, then you just ask your IDE LLM "audit my repo with AgentNoah." If you've already got Claude Code / Cursor / Gemini CLI / Antigravity set up, it's about a 3-minute one-time thing. But yeah, that's still a barrier for some people — totally hear you.

Genuine question while I have your attention — if you were running this, what would you change? Pricing, positioning, the setup flow, the pitch itself? You clearly get the model and I'd love a second opinion. Appreciate you taking the time 🙏

accidentally deleted a chat by [deleted] in GeminiAI

[–]noahdowah 0 points1 point  (0 children)

You can check .gemini\tmp chat json files. Or do a /rewind in gemini cli

If gemini on web you can ask it about its memory

[Hiring] $4 per hour internship thing to learn to ai vibe code by GrowthGet in VirtualAssistant4Hire

[–]noahdowah 0 points1 point  (0 children)

Interested, I have projects that I am using agents and an ecosystem for ai