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README.md

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+---
+title: Weni
+emoji: ⚡
+colorFrom: blue
+colorTo: pink
+sdk: static
+pinned: false
+license: apache-2.0
+---
+
+# Weni ⚡️
+
+Enterprise-grade AI agents for retail & commerce — born in LATAM, now powering large-scale customer support and conversational commerce across WhatsApp and beyond.
+
+> Weni is a VTEX business unit focused on production-ready, cost-efficient, **multi-agent** AI systems that deliver measurable outcomes (e.g., **~75% automation** and **~20% support cost reduction** for enterprise retailers in Brazil).
+
+---
+
+## What we build
+
+- **Customer Support Agents (CS)**  
+  Multi-agent orchestration for L1/L2 support, policy grounding, escalations, and KPI tracking.
+
+- **Agent Platform & Tooling**  
+  Patterns and templates for **Amazon Bedrock Agents** (inline & managed), including tool calling, memory/session design, guardrails, and post-processing.
+
+- **Eval & Reliability**  
+  Agent evaluation harnesses, cost/latency telemetry, prompt-caching strategies, and hallucination detection/regeneration pipelines.
+
 ---
-title: README
-emoji: 📈
-colorFrom: red
-colorTo: pink
-sdk: static
-pinned: false
+
+## On this Hugging Face org you’ll find
+
+- **Models**: lightweight components for retail intents, policy routing, and post-processing.  
+- **Datasets**: anonymized, domain-specific corpora for traning and eval.
+
+> Licenses vary per repo — see the card of each asset for details.
+
 ---
 
-Edit this `README.md` markdown file to author your organization card.
+## Important note on models
+
+> **Models are not supported anymore — they’re mostly ablation experiments (a bit of a mess of ablations).**  
+> Use at your own risk; they’re kept for reference only.
+
+---