Avery29

Making MCP context cost visible before the agent sees it feels like a useful debugging tool, not just an optimization.

Trust in tools often comes from predictability and shared context

I like this. Agent-facing docs feel more like an interface than prose

I’ve found that automatic switching only becomes trustworthy when the system also makes the reason for each switch visible, especially when cost, latency, and output quality are being traded off.

Google itself is a huge database.Who makes these rules depends on who's leading the market.

The hardest part of these projects is usually not making documents searchable

For agent/browser automation, getting blocked is only one part of the problem. The other hard part is knowing whether the page you got back is the real page, a degraded version, or some silent challenge page.

Bad or only loosely related context can make the final answer worse than having less context.

Nice tool. I’d like to understand what kinds of businesses the customers using this website are in.

This is a lovely use case for search.

Nice project. The little weather info in the footer is a neat touch. Is that pulling live data, or is it just based on a fixed location/demo value?

The speed sounds great，faster models make that gap much more visible..

This is especially interesting for API products. The tricky part is not just where user data lives, but where logs, traces, backups, and billing metadata live too.

OAuth is great when you actually need user delegation. For simple server-to-server API access, scoped keys with rotation, audit logs, and fast revocation are often a much better developer experience.

Real-time web data access capability.

We can't determine whether future AI Agents will charge high fees. At present, they are updating at a rapid pace.

Working in data collection, what stands out isn't the "military" part — it's how routine this kind of repurposing is.