diff --git a/DEVELOPMENT_PLAN.md b/DEVELOPMENT_PLAN.md
index 6a2c35a..b4c2700 100644
--- a/DEVELOPMENT_PLAN.md
+++ b/DEVELOPMENT_PLAN.md
@@ -82,6 +82,8 @@ Our network analysis revealed that YouTube's web client uses a `POST` request to
         *   **Findings:** The minimal `part` parameters to retrieve essential chat message information (author's name, message content, and author's unique ID for persistent colors) are `snippet,authorDetails`. This will incur a cost of 5 quota points per request.
         *   **Status:** **COMPLETED.**
     3.  **Intelligent Polling Refinement:** Explore advanced adaptive polling strategies beyond `pollingIntervalMillis`, potentially incorporating machine learning to predict chat activity and adjust polling frequency.
+        *   **Findings:** While intelligent polling is a valuable concept for API management, it does not offer a viable path to a sustainable, quota-friendly solution for *continuous, real-time YouTube Live Chat using the official API*. Its application to `pytchat` is also not directly beneficial as `pytchat` already adapts its polling based on YouTube's internal signals.
+        *   **Status:** **COMPLETED.** Conclusion: Not a primary solution for continuous chat fetching using the official API; not directly beneficial for `pytchat`.
 
 ## Phase 3: Community Solutions and Open-Source Projects
 
@@ -102,4 +104,4 @@ Our network analysis revealed that YouTube's web client uses a `POST` request to
 
 **Prioritization:** All research will prioritize **open-source and Linux-compatible solutions**. Compliance with YouTube's Terms of Service remains a critical factor.
 
-**Next Steps:** The findings from this revised research will be compiled into a structured document to inform the design and implementation of a robust YouTube Live Chat monitoring solution.
+**Next Steps:** The findings from this revised research will be compiled into a structured document to inform the design and implementation of a robust YouTube Live Chat monitoring solution.
\ No newline at end of file
diff --git a/PROGRESS_LOG.md b/PROGRESS_LOG.md
index 5f043d3..8d9c21f 100644
--- a/PROGRESS_LOG.md
+++ b/PROGRESS_LOG.md
@@ -49,7 +49,12 @@ This document chronicles the key steps, findings, and decisions made during the
 *   **Findings:** The minimal `part` parameters to retrieve essential chat message information (author's name, message content, and author's unique ID for persistent colors) are `snippet,authorDetails`. This will incur a cost of 5 quota points per request.
 *   **Conclusion:** While minimal parameters are identified, the base cost of 5 quota points per request still makes continuous polling unsustainable for the project's goal.
 
+### Action 3: Intelligent Polling Refinement
+*   **Investigation:** Explored advanced adaptive polling strategies beyond `pollingIntervalMillis`, potentially incorporating machine learning to predict chat activity and adjust polling frequency.
+*   **Findings:** While intelligent polling is a valuable concept for API management, it does not offer a viable path to a sustainable, quota-friendly solution for *continuous, real-time YouTube Live Chat using the official API*. Its application to `pytchat` is also not directly beneficial as `pytchat` already adapts its polling based on YouTube's internal signals.
+*   **Conclusion:** Not a primary solution for continuous chat fetching using the official API; not directly beneficial for `pytchat`.
+
 ## Next Steps
 
-*   Proceed with "Intelligent Polling Refinement" as outlined in `DEVELOPMENT_PLAN.md`.
-*   Continue with other phases of the revised research plan, keeping the compliance and fragility risks of `pytchat` in mind.
\ No newline at end of file
+*   Proceed with "Community Solutions and Open-Source Projects" as outlined in `DEVELOPMENT_PLAN.md`.
+*   Continue with other phases of the revised research plan, keeping the compliance and fragility risks of `pytchat` in mind.