Ever.ag Assistant
Ever.ag Assistant

This AI assistant may occasionally provide inaccurate or incomplete information.

AI-powered answers about Ever.ag
Model Comparison Guide
Amazon Nova Pro
Current default
$0.80 / $3.20 per 1M tokens

Amazon's mid-tier model. Good balance of quality and cost for RAG chatbots. Strong at following structured prompts and formatting rules.

Amazon Nova Lite
Lower cost
$0.06 / $0.24 per 1M tokens

Faster and cheaper than Nova Pro. Good for straightforward Q&A. Test whether the quality drop is noticeable for your visitors.

Amazon Nova Micro
Lowest cost
$0.035 / $0.14 per 1M tokens

Text-only, lowest latency in the Nova family. Best for simple factual lookups. May struggle with complex formatting instructions.

Claude Sonnet 4
Highest quality
$3.00 / $15.00 per 1M tokens

Anthropic's latest flagship. Excellent at following nuanced system prompts, inline linking, and natural conversational tone. Most expensive option but often the best output quality.

Claude Haiku 4.5
Fast & affordable
$1.00 / $5.00 per 1M tokens

Anthropic's fast, affordable model. Surprisingly capable for its price. Great candidate if Sonnet quality isn't needed for every query — compare to see the tradeoff.

Llama 3.3 70B
Open weights
$0.72 / $0.72 per 1M tokens

Meta's latest open-weight model on Bedrock. Strong general-purpose performance with competitive quality. Worth testing for cost predictability.

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A Map Becomes a Phenomenon

Contributor Image

Phil Plourd

President, Ever.Ag Insights

Contributor Image

Phil Plourd

President, Ever.Ag Insights

March 11, 2025

It turns out that a map has become the most popular thing we’ve done here at Ever.Ag Insights.

3Dr Dykes using map at Danone Dairy Forum copy 300x185 1

Dr. Michael Dykes sharing one of Ever.Ag’s maps at the Danone Dairy Forum, 2025

More specifically, in 2022, we produced a US map identifying all planned dairy capacity investments for the next few years. We used different colors to identify what people were building – a cheese plant here, a fluid bottling plant there, and so on. When we started using the map in presentations, I noticed many people taking out their phones and snapping photos. We’d get emails afterward requesting copies of the map. Several clients and friends asked if they could use the map in their presentations and publications. We update the map regularly. It’s become something of a phenomenon.

In my estimation, at least three factors drive the map’s popularity.

First, it offers a quick, clear view of what’s happening in the US dairy industry. We’ve always believed that powerful visuals add value to any story, and we’ve invested in talented people to help create great “looks” for clients. It’s a visually compelling image.

Second, it’s comprehensive. Gathering and cataloging the underlying data takes knowledge, effort, and organization. We’ve spent years building our “dairy plant database” and are always alert for the latest updates. I’m sure other people have various plant lists, but we keep ours front and center because everyone wants to see the latest map within a few days of new capacity investment announcements.

Third, it tells a positive story. All the dots and colors and names depict a healthy industry, perhaps even thriving. People and companies wouldn’t be investing billions of dollars in new infrastructure if they didn’t believe in a bright future for the US dairy industry. Things are happening in the US, whether it’s about product innovation, building a stronger export platform or some other factor. And I don’t believe we see anything as big or exciting anywhere else in the world.

“The Map” now has a few spinoffs: a “planned plant closure” version and a “cheese plant only” version. We’ll keep making and distributing them as long as clients find value in the work and the visuals. Consider the suggestion box open!

Click here to download your own maps.

Contributor Image

Phil Plourd

President, Ever.Ag Insights