Ever.ag Assistant
Ever.ag Assistant

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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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Videos |
Dairy

2026 Dairy Market Outlook: Trends, Risks, and What Comes Next

Where do dairy markets start 2026, and what’s driving volatility?

A low-price setup with big swing factors: milk supply, export competitiveness, and demand uncertainty (plus possible plant closures or USDA wild cards).

How does new cheese capacity change the market?

The “big wave” of cheese expansions is described as nearly complete (major plants coming online), raising the stakes for demand and exports.

What’s the milk supply outlook, and why might it take longer to turn?

They do not expect meaningful U.S. slippage until late Q3 to Q4, with global milk also running heavy.

How important are exports in 2026?

Critical. 2025 exports were a key pressure valve, and 2026 depends on staying price-competitive to keep that outlet open.

What’s changing in demand (protein and GLP-1)?

GLP-1s are reshaping food spend, but protein is a winner. That creates upside for dairy protein and risk for some cheese-heavy occasions (like pizza).

What are the key risks to monitor, and how do you manage risk in 2026?

Watch supply, exports, and demand. They emphasized tools like DRP, LGM, and DMC to help manage downside risk.

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