Over the past year, we kept hearing the same thing from founders and growth teams:
Running ads is getting harder, more expensive, and way more fragmented.
You’re juggling:
Market research
Creative production
Campaign setup
Performance analysis
And every tool only solves one slice of the problem.
So we built Navos to do something different.
Navos isn’t another SaaS tool — it’s a system of AI agents that actually work together across the full marketing workflow:
• Consulting Agent → market research, competitor analysis, strategy
• Creative Agent → generates and optimizes ad creatives (images & videos)
• Marketing Agent → campaign execution, monitoring, and optimization
Instead of switching tools, you get a unified loop:
insight → creative → execution → optimization
A few things we’re aiming to solve:
Creative fatigue from constant ad iteration
Rising CAC with unclear performance signals
Slow testing cycles that kill momentum
Early users are using Navos to:
Launch campaigns faster (from idea to live in hours)
Scale creative production without bloating costs
Get clearer insights into what actually drives conversions
We’re still early, and honestly, this is just version 1.
Would love feedback from this community:
What’s the hardest part of running paid ads today?
Where do current tools fall short for you?
What would make something like Navos actually indispensable?
If you’re curious, you can try it here:
https://www.navosagent.ai
Happy to answer anything — and yes, we’re shipping updates fast.
The full-loop approach is interesting, especially with research, creative, execution, and optimization living in one system. Curious how Navos has progressed since April — what part of that loop has seen the strongest adoption from early users?
Managing a full marketing stack is exhausting because you end up spending more time syncing data between different tools than actually focusing on growth strategy.
The real breakthrough here is the unified loop because traditional setups usually fail when the creative team doesn't get the data from the performance analysis fast enough to fix creative fatigue.
How are the agents handling the real-time budget redistribution when one specific creative starts to see a sudden spike in CAC across different platforms?