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diff --git a/changelog.md b/changelog.md
index 1e71858..69f61d0 100644
--- a/changelog.md
+++ b/changelog.md
@@ -1,5 +1,16 @@
 # Changelog
 
+## 2025-08-26 - 3.1.10 - fix(task)
+Implement core Task execution flow, buffering and lifecycle; update README with generics and buffer docs
+
+- Implement Task.runTask including preTask/afterTask chaining, touched-task cycle prevention and error handling.
+- Add Task helpers: extractTask, isTask, isTaskTouched and emptyTaskFunction (resolved promise).
+- Introduce task lifecycle coordination: finished promise, resolveFinished, and blockingTasks to await dependent tasks.
+- Support taskSetup/setupValue, execDelay handling, and wait-for-blocking-tasks before execution.
+- Wire up trigger() to choose buffered vs unbuffered execution (triggerBuffered / triggerUnBuffered) and integrate BufferRunner.
+- Improve logging and safer promise handling (caught errors are logged).
+- Update README with extended TypeScript generics examples and expanded buffer behavior and strategies documentation.
+
 ## 2025-08-26 - 3.1.9 - fix(tests)
 Update CI workflows, fix tests and refresh README/package metadata
 
diff --git a/readme.md b/readme.md
index 1c676ba..260a246 100644
--- a/readme.md
+++ b/readme.md
@@ -72,6 +72,322 @@ const myTask = new Task({
 const result = await myTask.trigger();
 ```
 
+## TypeScript Generics Support 🔬
+
+TaskBuffer leverages TypeScript's powerful generics system for complete type safety across your task chains and workflows.
+
+### Generic Task Functions
+
+Tasks support generic type parameters for both input and output types:
+
+```typescript
+import { Task, ITaskFunction } from '@push.rocks/taskbuffer';
+
+// Define typed interfaces
+interface UserData {
+  id: string;
+  name: string;
+  email: string;
+}
+
+interface ProcessedUser {
+  userId: string;
+  displayName: string;
+  normalized: boolean;
+}
+
+// Create strongly typed tasks
+const processUserTask = new Task<UserData, ProcessedUser>({
+  name: 'ProcessUser',
+  taskFunction: async (user: UserData): Promise<ProcessedUser> => {
+    return {
+      userId: user.id,
+      displayName: user.name.toUpperCase(),
+      normalized: true
+    };
+  }
+});
+
+// Type safety enforced at compile time
+const result: ProcessedUser = await processUserTask.trigger({
+  id: '123',
+  name: 'John Doe',
+  email: 'john@example.com'
+});
+```
+
+### Generic Setup Values
+
+Tasks can accept setup values through generics, perfect for configuration:
+
+```typescript
+interface TaskConfig {
+  apiEndpoint: string;
+  retryCount: number;
+  timeout: number;
+}
+
+const configuredTask = new Task<TaskConfig>({
+  name: 'ConfiguredTask',
+  taskSetup: async () => ({
+    apiEndpoint: 'https://api.example.com',
+    retryCount: 3,
+    timeout: 5000
+  }),
+  taskFunction: async (data: any, setupValue: TaskConfig) => {
+    // setupValue is fully typed!
+    for (let i = 0; i < setupValue.retryCount; i++) {
+      try {
+        return await fetchWithTimeout(
+          setupValue.apiEndpoint,
+          setupValue.timeout
+        );
+      } catch (error) {
+        if (i === setupValue.retryCount - 1) throw error;
+      }
+    }
+  }
+});
+```
+
+### Type-Safe Task Chains
+
+Chain tasks with preserved type flow:
+
+```typescript
+// Each task knows its input and output types
+const fetchTask = new Task<void, UserData[]>({
+  name: 'FetchUsers',
+  taskFunction: async (): Promise<UserData[]> => {
+    return await api.getUsers();
+  }
+});
+
+const filterTask = new Task<UserData[], UserData[]>({
+  name: 'FilterActive',
+  taskFunction: async (users: UserData[]): Promise<UserData[]> => {
+    return users.filter(user => user.isActive);
+  }
+});
+
+const mapTask = new Task<UserData[], ProcessedUser[]>({
+  name: 'MapToProcessed',
+  taskFunction: async (users: UserData[]): Promise<ProcessedUser[]> => {
+    return users.map(transformUser);
+  }
+});
+
+// Type safety flows through the chain
+const chain = new Taskchain({
+  name: 'UserPipeline',
+  taskArray: [fetchTask, filterTask, mapTask]
+});
+
+const finalResult: ProcessedUser[] = await chain.trigger();
+```
+
+## Buffer Behavior Deep Dive 🌊
+
+The buffer system in TaskBuffer provides intelligent control over concurrent executions, preventing system overload while maximizing throughput.
+
+### How Buffering Works
+
+When a task is buffered, TaskBuffer manages a queue of executions:
+
+```typescript
+const bufferedTask = new Task({
+  name: 'BufferedOperation',
+  taskFunction: async (data) => {
+    console.log(`Processing: ${data}`);
+    await simulateWork();
+    return `Processed: ${data}`;
+  },
+  buffered: true,
+  bufferMax: 3  // Maximum 3 concurrent executions
+});
+
+// Trigger 10 executions rapidly
+for (let i = 0; i < 10; i++) {
+  bufferedTask.trigger(`Item ${i}`);
+}
+
+// What happens:
+// 1. First 3 tasks start immediately
+// 2. Items 4-10 are queued
+// 3. As each task completes, next queued item starts
+// 4. Never more than 3 tasks running simultaneously
+```
+
+### Buffer Truncation Behavior
+
+When buffer limit is reached, new calls are intelligently managed:
+
+```typescript
+const truncatingTask = new Task({
+  name: 'TruncatingBuffer',
+  taskFunction: async (data) => {
+    await processData(data);
+  },
+  buffered: true,
+  bufferMax: 5  // Maximum 5 in buffer
+});
+
+// Rapid fire 100 calls
+for (let i = 0; i < 100; i++) {
+  truncatingTask.trigger(`Data ${i}`);
+}
+
+// Buffer behavior:
+// - First 5 calls: Added to buffer and start processing
+// - Calls 6-100: Each overwrites the 5th buffer slot
+// - Result: Only processes items 0,1,2,3, and 99 (last one)
+// - This prevents memory overflow in high-frequency scenarios
+```
+
+### Advanced Buffer Strategies
+
+#### 1. **Sliding Window Buffer**
+Perfect for real-time data processing where only recent items matter:
+
+```typescript
+const slidingWindowTask = new Task({
+  name: 'SlidingWindow',
+  taskFunction: async (data) => {
+    return await analyzeRecentData(data);
+  },
+  buffered: true,
+  bufferMax: 10,  // Keep last 10 items
+  execDelay: 100  // Process every 100ms
+});
+
+// In a real-time stream scenario
+dataStream.on('data', (chunk) => {
+  slidingWindowTask.trigger(chunk);
+  // Older items automatically dropped when buffer full
+});
+```
+
+#### 2. **Throttled Buffer**
+Combine buffering with execution delays for rate limiting:
+
+```typescript
+const apiRateLimiter = new Task({
+  name: 'RateLimitedAPI',
+  taskFunction: async (request) => {
+    return await api.call(request);
+  },
+  buffered: true,
+  bufferMax: 10,     // Max 10 queued requests
+  execDelay: 1000    // 1 second between executions
+});
+
+// Requests are queued and executed at 1/second
+// Prevents API rate limit violations
+```
+
+#### 3. **Priority Buffer** (Custom Implementation)
+Implement priority queuing with buffer management:
+
+```typescript
+class PriorityBufferedTask extends Task {
+  private priorityQueue: Array<{data: any, priority: number}> = [];
+  
+  constructor(options) {
+    super({
+      ...options,
+      taskFunction: async (item) => {
+        // Process based on priority
+        return await this.processByPriority(item);
+      }
+    });
+  }
+  
+  triggerWithPriority(data: any, priority: number) {
+    if (this.priorityQueue.length >= this.bufferMax) {
+      // Remove lowest priority item if buffer full
+      this.priorityQueue.sort((a, b) => b.priority - a.priority);
+      this.priorityQueue.pop();
+    }
+    this.priorityQueue.push({data, priority});
+    this.priorityQueue.sort((a, b) => b.priority - a.priority);
+    return this.trigger(this.priorityQueue.shift());
+  }
+}
+```
+
+### Buffer Monitoring
+
+Track buffer utilization and performance:
+
+```typescript
+const monitoredTask = new Task({
+  name: 'MonitoredBuffer',
+  taskFunction: async (data) => {
+    const startTime = Date.now();
+    const result = await processData(data);
+    console.log(`Processing time: ${Date.now() - startTime}ms`);
+    console.log(`Buffer utilization: ${monitoredTask.bufferRunner.bufferCounter}/${monitoredTask.bufferMax}`);
+    return result;
+  },
+  buffered: true,
+  bufferMax: 20
+});
+
+// Monitor buffer saturation
+setInterval(() => {
+  const utilization = (monitoredTask.bufferRunner.bufferCounter / monitoredTask.bufferMax) * 100;
+  if (utilization > 80) {
+    console.warn(`Buffer near capacity: ${utilization.toFixed(1)}%`);
+  }
+}, 1000);
+```
+
+### Buffer Best Practices
+
+1. **Choose appropriate buffer sizes**: 
+   - I/O operations: 5-10 concurrent
+   - CPU-intensive: Number of cores
+   - API calls: Based on rate limits
+
+2. **Handle buffer overflow gracefully**:
+   ```typescript
+   const task = new Task({
+     taskFunction: async (data) => {
+       try {
+         return await process(data);
+       } catch (error) {
+         if (error.code === 'BUFFER_OVERFLOW') {
+           // Implement backoff strategy
+           await delay(1000);
+           return task.trigger(data);
+         }
+         throw error;
+       }
+     },
+     buffered: true,
+     bufferMax: 10
+   });
+   ```
+
+3. **Monitor and adjust dynamically**:
+   ```typescript
+   // Adjust buffer size based on system load
+   const adaptiveTask = new Task({
+     name: 'AdaptiveBuffer',
+     taskFunction: async (data) => {
+       const cpuLoad = await getSystemLoad();
+       if (cpuLoad > 0.8) {
+         adaptiveTask.bufferMax = Math.max(2, adaptiveTask.bufferMax - 1);
+       } else if (cpuLoad < 0.5) {
+         adaptiveTask.bufferMax = Math.min(20, adaptiveTask.bufferMax + 1);
+       }
+       return await process(data);
+     },
+     buffered: true,
+     bufferMax: 10
+   });
+   ```
+
 ### Buffered Execution (Rate Limiting)
 
 Perfect for API calls or database operations that need throttling:
diff --git a/ts/00_commitinfo_data.ts b/ts/00_commitinfo_data.ts
index 2cd3e7e..608ab29 100644
--- a/ts/00_commitinfo_data.ts
+++ b/ts/00_commitinfo_data.ts
@@ -3,6 +3,6 @@
  */
 export const commitinfo = {
   name: '@push.rocks/taskbuffer',
-  version: '3.1.9',
+  version: '3.1.10',
   description: 'A flexible task management library supporting TypeScript, allowing for task buffering, scheduling, and execution with dependency management.'
 }