Ojas

I think there's always bad actors in the market, and it just doesn't work for very long, so i would just focus on operating in good faith, and hope to outlast the bad actors.

Release Notes - https://www.artificialoutreach.com/releases/sales-engineering-ai-launch

Orbit OS — Sales Engineering AI for Agencies & Startups I kept seeing the same thing with agencies and early‑stage teams: nights and weekends spent rewriting proposals instead of closing deals or shipping product. The workflow is kind of broken: A client brief or RFP lands Someone digs up an old proposal Rewrites half of it Rebuilds the deck Manually hunts for relevant case studies 6–8 hours...

love this, is there a way to connect external systems to be powere by this data?

This came out of my own frustration while building a larger AI platform, every project felt scattered, and I couldn’t keep context straight between PRDs, prompts, and architecture. So I built this to make my own workflow saner. It’s still simple, but it’s been genuinely helpful, so I wanted to share it here. Would love to know if it resonates with how you manage AI builds in Cursor or Claude Code.