diff --git a/README.md b/README.md
index c98f287f..eb1c4569 100644
--- a/README.md
+++ b/README.md
@@ -110,7 +110,7 @@ pip install .
 
 ## ⚙️ Environment Setup
 
-Create a `.env` file in your project directory:
+Create a `.env` file in your project root directory:
 
 ```bash
 # Required: LLM API configuration
@@ -142,6 +142,7 @@ The service will start on `http://localhost:8001`
 ### 🔍 Production Setup with Elasticsearch Backend
 ```bash
 experiencemaker \
+  http_service.port=8001 \
   llm.default.model_name=qwen3-32b \
   embedding_model.default.model_name=text-embedding-v4 \
   vector_store.default.backend=elasticsearch
@@ -186,6 +187,8 @@ response = requests.post(url=base_url + "summarizer", json={
 })
 
 response = response.json()
+print(response)
+
 experience_list = response["experience_list"]
 for experience in experience_list:
   print(experience)
@@ -203,6 +206,8 @@ response = requests.post(url=base_url + "retriever", json={
 })
 
 response = response.json()
+print(response)
+
 experience_merged: str = response["experience_merged"]
 print(f"experience_merged={experience_merged}")
 ```
@@ -210,6 +215,45 @@ print(f"experience_merged={experience_merged}")
 ### 💾 Dump Experiences From Vector Store
 Dump the experience with workspace_id from the vector store into the {path}/{workspace_id}.jsonl file.
 
+<div class="tab">
+  <button class="tablinks" onclick="openLanguage(event, 'Python')">Python</button>
+  <button class="tablinks" onclick="openLanguage(event, 'Java')">Java</button>
+</div>
+
+<div id="Python" class="tabcontent">
+```python
+def hello_world():
+    print("Hello, World!")
+```
+</div>
+
+<div id="Java" class="tabcontent">
+```java
+public class Main {
+public static void main(String[] args) {
+System.out.println("Hello, World!");
+}
+}
+```
+</div>
+
+<script>
+function openLanguage(evt, languageName) {
+var i, tabcontent, tablinks;
+tabcontent = document.getElementsByClassName("tabcontent");
+for (i = 0; i < tabcontent.length; i++) {
+tabcontent[i].style.display = "none";
+}
+tablinks = document.getElementsByClassName("tablinks");
+for (i = 0; i < tablinks.length; i++) {
+tablinks[i].className = tablinks[i].className.replace(" active", "");
+}
+document.getElementById(languageName).style.display = "block";
+evt.currentTarget.className += " active";
+}
+</script>
+
+
 ```python
 response = requests.post(url=base_url + "vector_store", json={
   "workspace_id": workspace_id,
diff --git a/doc/advanced_guide.md b/doc/advanced_guide.md
index 40f14d01..82895e39 100644
--- a/doc/advanced_guide.md
+++ b/doc/advanced_guide.md
@@ -92,7 +92,7 @@ api:
 ```yaml
 op:
   custom_operation:
-    backend: custom_backend_name
+    backend: custom_operation       # 
     llm: default                    # Reference to LLM configuration
     vector_store: default           # Reference to vector store
     params: # Custom parameters for this operation
diff --git a/doc/future_roadmap.md b/doc/future_roadmap.md
index 65e0f794..3fdf767f 100644
--- a/doc/future_roadmap.md
+++ b/doc/future_roadmap.md
@@ -44,12 +44,14 @@ Enable AI to naturally become stronger through everyday work, rather than wastin
 
 ## Current TODO
 
-- [x] op dev & test ready
-- [ ] integrate into beyond-agent @jinli
+- [x] op dev & test ready @jiaji
 - [ ] cook_book-appworld code & readme @jiaji
 - [ ] cook_book-bfcl-v3 op @zouyin delay 0730
-- [ ] fix multi-process bug @jinli
+- [x] fix multi-process bug @jinli
 - [ ] logo optimize @jiaji
 - [ ] Ready-made Experience Store @jinli, add appworld/bfcl-v3 default experience store @jiaji
 - [ ] op config make up @jiaji
 - [ ] config make up, easy to understand @jinli
+- [ ] refine readme @jinli
+
+- [ ] integrate into beyond-agent @jinli