Update README (#263)

* Update new README with fresh sections for features + contributors.

* Add asset screenshots for README update

* Adjust feature section components to have a 'Useful for' section. Improve other sections with feedback from Aaryan.

* Attempted fix for Table of Contents hyperlinks

* Attempt fix for README TOC with github-markdown-toc repo

* Change dataset clustering image to dark-mode and edit wording for some sections.

* add darkmode ss

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Co-authored-by: Aaryan Divate <44125685+adivate2021@users.noreply.github.com>

Author: SecroLoL

README.md

@@ -43,11 +43,11 @@ Judgeval is created and maintained by [Judgment Labs](https://judgmentlabs.ai/).
 
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-| <h3>🔍 Tracing</h3>Automatic agent tracing integrated with common frameworks (LangGraph, OpenAI, Anthropic): **tracking inputs/outputs, latency, and cost** at every step.<br><br>Online evals can be applied to traces to measure quality on production data in real-time.<br><br>Export trace data to the Judgment Platform or your own S3 buckets, {Parquet, JSON, YAML} files, or data warehouse.<br><br>**Useful for:**<br>• 🐛 Debugging agent runs <br>• 👤 Tracking user activity <br>• 🔬 Pinpointing performance bottlenecks| <p align="center"><img src="assets/trace_screenshot.png" alt="Tracing visualization" width="800"/></p> |
-| <h3>🧪 Evals</h3>15+ research-backed metrics including tool call accuracy, hallucinations, instruction adherence, and retrieval context recall.<br><br>Build custom evaluators that connect with our metric-tracking infrastructure. <br><br>**Useful for:**<br>• ⚠️ Unit-testing <br>• 🔬 Experimental prompt testing<br>• 🛡️ Online guardrails <br><br> | <p align="center"><img src="assets/experiments_page.png" alt="Evaluation metrics" width="400"/></p> |
-| <h3>📡 Monitoring</h3>Real-time performance tracking of your agents in production environments. **Track all your metrics in one place.**<br><br>Set up **Slack/email alerts** for critical metrics and receive notifications when thresholds are exceeded.<br><br> **Useful for:** <br>•📉 Identifying degradation early <br>•📈 Visualizing performance trends across versions and time | <p align="center"><img src="assets/monitoring_screenshot.png" alt="Monitoring Dashboard" width="400"/></p> |
-| <h3>📊 Datasets</h3>Export trace data or import external testcases to datasets hosted on Judgment's Platform. Move datasets to/from Parquet, S3, etc. <br><br>Run evals on datasets as unit tests or to A/B test different agent configurations. <br><br> **Useful for:**<br>• 🔄 Scaled analysis for A/B tests <br>• 🗃️ Filtered collections of agent runtime data| <p align="center"><img src="assets/datasets_preview_screenshot.png" alt="Dataset management" width="800"/></p> |
-| <h3>💡 Insights</h3>Error clustering groups agent failures to uncover patterns and speed up root cause analysis.<br><br>Trace failures to their exact source with Judgment's Osiris agent, which localizes errors to specific components for precise fixes.<br><br> **Useful for:**<br>•🤖 Investigating agent/user behavior for optimization <br>•🔮 Surfacing common inputs that lead to error| <p align="center"><img src="assets/dataset_clustering_screenshot.png" alt="Insights dashboard" width="2400"/></p> |
+| <h3>🔍 Tracing</h3>Automatic agent tracing integrated with common frameworks (LangGraph, OpenAI, Anthropic): **tracking inputs/outputs, latency, and cost** at every step.<br><br>Online evals can be applied to traces to measure quality on production data in real-time.<br><br>Export trace data to the Judgment Platform or your own S3 buckets, {Parquet, JSON, YAML} files, or data warehouse.<br><br>**Useful for:**<br>• 🐛 Debugging agent runs <br>• 👤 Tracking user activity <br>• 🔬 Pinpointing performance bottlenecks| <p align="center"><img src="assets/trace_screenshot.png" alt="Tracing visualization" width="1200"/></p> |
+| <h3>🧪 Evals</h3>15+ research-backed metrics including tool call accuracy, hallucinations, instruction adherence, and retrieval context recall.<br><br>Build custom evaluators that connect with our metric-tracking infrastructure. <br><br>**Useful for:**<br>• ⚠️ Unit-testing <br>• 🔬 Experimental prompt testing<br>• 🛡️ Online guardrails <br><br> | <p align="center"><img src="assets/experiments_page.png" alt="Evaluation metrics" width="800"/></p> |
+| <h3>📡 Monitoring</h3>Real-time performance tracking of your agents in production environments. **Track all your metrics in one place.**<br><br>Set up **Slack/email alerts** for critical metrics and receive notifications when thresholds are exceeded.<br><br> **Useful for:** <br>•📉 Identifying degradation early <br>•📈 Visualizing performance trends across versions and time | <p align="center"><img src="assets/monitoring_screenshot.png" alt="Monitoring Dashboard" width="1200"/></p> |
+| <h3>📊 Datasets</h3>Export trace data or import external testcases to datasets hosted on Judgment's Platform. Move datasets to/from Parquet, S3, etc. <br><br>Run evals on datasets as unit tests or to A/B test different agent configurations. <br><br> **Useful for:**<br>• 🔄 Scaled analysis for A/B tests <br>• 🗃️ Filtered collections of agent runtime data| <p align="center"><img src="assets/datasets_preview_screenshot.png" alt="Dataset management" width="1200"/></p> |
+| <h3>💡 Insights</h3>Cluster on your data to reveal common use cases and failure modes.<br><br>Trace failures to their exact source with Judgment's Osiris agent, which localizes errors to specific components for precise fixes.<br><br> **Useful for:**<br>•🔮 Surfacing common inputs that lead to error<br>•🤖 Investigating agent/user behavior for optimization <br>| <p align="center"><img src="assets/dataset_clustering_screenshot_dm.png" alt="Insights dashboard" width="1200"/></p> |
 
 ## 🛠️ Installation