Navige uses Sufficiency Intelligence to cut AI agent costs while work runs. It sends suitable requests to smaller models, caches repeated reads and trims bulky tool results. If unsure, it keeps your chosen model. Set budgets, catch runaway loops and approve sensitive actions. See costs and savings by job, with estimates clearly labelled. Watchtower is free forever. Preview changes before switching controls on.
Most of what an AI agent does isn’t hard - sorting an email, pulling a date out of a document, picking the next step. But often, it all runs on the most expensive model, because that’s the one written into the code and nobody went back to change it.
Then the bill arrives as one number, and nobody can say which agent spent what.
Navige sits in front of calls routed through it and acts before they run, while the cost can still change. We call this Sufficiency Intelligence: give each task exactly the intelligence it needs.
How it works
It assesses each request and sends suitable ones to a smaller model. Your model is the ceiling: Navige only moves calls down, never up, and keeps yours whenever it’s unsure.
If the smaller model fumbles a tool call, the call re-runs on your original model, and your agent only sees that answer.
It records every job: what it cost, what the controls changed and what made the difference. Measured savings and estimates are clearly separated.
On top of that, you get budgets per team and per job, approval holds for risky actions, a kill switch and an audit trail.
Two things we did on purpose
Watchtower is the starting point. Navige watches and shows what it would have done, but changes nothing until you say so.
Connect your Anthropic or AWS Bedrock account and put your real bill next to Navige’s figures, so you can check the numbers instead of trusting a savings claim.
Pricing
Watchtower is free forever. On paid plans, of the measured savings Navige can show, you keep four parts and we keep one, subject to a $9/month minimum.
Give it a week
Watch your agents for a week. Nothing changes until you decide.
Which of your agents’ jobs do you suspect is running on a much bigger model than it needs? 👇
About Navige on Product Hunt
“Cut AI agent costs and control runaway spending”
Navige launched on Product Hunt on October 15th, 2026 and earned 198 upvotes and 52 comments, earning #2 Product of the Day. Navige uses Sufficiency Intelligence to cut AI agent costs while work runs. It sends suitable requests to smaller models, caches repeated reads and trims bulky tool results. If unsure, it keeps your chosen model. Set budgets, catch runaway loops and approve sensitive actions. See costs and savings by job, with estimates clearly labelled. Watchtower is free forever. Preview changes before switching controls on.
On the analytics side, Navige competes within SaaS, Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Navige performed against the three products that launched closest to it on the same day.
Who hunted Navige?
Navige was hunted by Kate Ramakaieva. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Navige including community comment highlights and product details, visit the product overview.
Kate Ramakaieva
Hey Product Hunt 👋
Why we built Navige
Most of what an AI agent does isn’t hard - sorting an email, pulling a date out of a document, picking the next step. But often, it all runs on the most expensive model, because that’s the one written into the code and nobody went back to change it.
Then the bill arrives as one number, and nobody can say which agent spent what.
Navige sits in front of calls routed through it and acts before they run, while the cost can still change. We call this Sufficiency Intelligence: give each task exactly the intelligence it needs.
How it works
It assesses each request and sends suitable ones to a smaller model. Your model is the ceiling: Navige only moves calls down, never up, and keeps yours whenever it’s unsure.
If the smaller model fumbles a tool call, the call re-runs on your original model, and your agent only sees that answer.
It records every job: what it cost, what the controls changed and what made the difference. Measured savings and estimates are clearly separated.
On top of that, you get budgets per team and per job, approval holds for risky actions, a kill switch and an audit trail.
Two things we did on purpose
Watchtower is the starting point. Navige watches and shows what it would have done, but changes nothing until you say so.
Connect your Anthropic or AWS Bedrock account and put your real bill next to Navige’s figures, so you can check the numbers instead of trusting a savings claim.
Pricing
Watchtower is free forever. On paid plans, of the measured savings Navige can show, you keep four parts and we keep one, subject to a $9/month minimum.
Give it a week
Watch your agents for a week. Nothing changes until you decide.
Which of your agents’ jobs do you suspect is running on a much bigger model than it needs? 👇