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6 changes: 4 additions & 2 deletions README.md
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[![License](https://img.shields.io/badge/license-Apache%202.0-blue)](LICENSE) [![CI](https://img.shields.io/badge/ci-passing-brightgreen)](<LINK_TO_CI>)

📄 **Read the paper:** [fastWorkflow: Closing the Performance Gap Between Small and Frontier Language Models for Conversational Agents](https://github.com/radiantlogicinc/fastworkflow/blob/main/paper/fastWorkflow_Closing_the_Performance_Gap_Between_Small_and_Frontier_Language_Models_for_Conversational_Agents.pdf)

Build agents and assistants for complex workflows and large-scale Python applications, with deterministic or AI-powered business logic.

If you have tried AI enabling non-trivial applications, you have struggled with the following:
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<table>
<tr>
<td align="center" width="50%">
<img src="fastWorkflow - Tau Bench Retail.jpg" alt="fastWorkflow - Tau Bench Retail" style="max-width: 100%; height: auto;"/>
<img src="tau_bench_retail_performance.png" alt="Tau-Bench Retail Performance" style="max-width: 100%; height: auto;"/>
</td>
<td align="center" width="50%">
<img src="fastWorkflow - TauBench Airline.jpg" alt="fastWorkflow - TauBench Airline" style="max-width: 100%; height: auto;"/>
<img src="tau_bench_airline_performance.png" alt="Tau-Bench Airline Performance" style="max-width: 100%; height: auto;"/>
</td>
</tr>
</table>
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