Migrate documentation examples to object-based filter syntax

content/docs/ai/coding-assistant.mdx

@@ -21,7 +21,7 @@ Without this prompt, Copilot assumes you are using a generic ORM (like TypeORM)
 With the System Prompt, it understands the **Context + Repository** pattern:
 
 > ✅ **Good AI Output:**
-> `await ctx.object('todo').find({ filters: [['priority', '=', 'high']] })`
+> `await ctx.object('todo').find({ filters: { priority: 'high' } })`
 
 ### 2. Prompting Strategy
 
@@ -103,10 +103,10 @@ Use the standard generic CRUD API via a context.
 const ctx = app.createContext({});
 
 const todos = await ctx.object('todo').find({
-    filters: [
-        ['completed', '=', false],
-        ['priority', '=', 'high']
-    ],
+    filters: {
+        completed: false,
+        priority: 'high'
+    },
     fields: ['title', 'owner.name'], // Select specific fields & relations
     sort: [['created_at', 'desc']], 
     skip: 0,

content/docs/data-access/best-practices.mdx

@@ -40,11 +40,10 @@ The **JSON-DSL** is ObjectQL's core query language - a structured JSON represent
 ```typescript
 const tasks = await app.object('task').find({
   fields: ['name', 'status', 'due_date'],
-  filters: [
-    ['status', '=', 'active'],
-    'and',
-    ['priority', '>=', 3]
-  ],
+  filters: {
+    status: 'active',
+    priority: { $gte: 3 }
+  },
   sort: [['due_date', 'asc']],
   skip: 0,
   limit: 20
@@ -59,7 +58,7 @@ const tasks = await app.object('task').find({
 ```typescript
 // Returns ALL fields (inefficient)
 await app.object('user').find({
-  filters: [['status', '=', 'active']]
+  filters: { status: 'active' }
 });
 ```
 
@@ -68,7 +67,7 @@ await app.object('user').find({
 // Returns only needed fields (efficient)
 await app.object('user').find({
   fields: ['id', 'name', 'email'],
-  filters: [['status', '=', 'active']]
+  filters: { status: 'active' }
 });
 ```
 
@@ -79,17 +78,16 @@ await app.object('user').find({
 **Bad:**
 ```typescript
 // Filters on non-indexed field
-filters: [['description', 'contains', 'urgent']]
+filters: { description: { $contains: 'urgent' } }
 ```
 
 **Good:**
 ```typescript
 // Filters on indexed field first, then post-filter if needed
-filters: [
-  ['status', '=', 'open'],        // Indexed
-  'and',
-  ['priority', '=', 'high']       // Indexed
-]
+filters: {
+  status: 'open',        // Indexed
+  priority: 'high'       // Indexed
+}
 ```
 
 **Impact:** Can improve query speed by 10-100x depending on dataset size.
@@ -100,15 +98,15 @@ filters: [
 ```typescript
 // Returns all records (dangerous)
 await app.object('order').find({
-  filters: [['year', '=', 2024]]
+  filters: { year: 2024 }
 });
 ```
 
 **Good:**
 ```typescript
 // Paginated results (safe and fast)
 await app.object('order').find({
-  filters: [['year', '=', 2024]],
+  filters: { year: 2024 },
   limit: 50,
   skip: page * 50,
   sort: [['created_at', 'desc']]
@@ -431,7 +429,7 @@ const tasksWithAssignee = await Promise.all(
 const tasks = await taskRepo.find();
 const userIds = tasks.map(t => t.assignee_id);
 const users = await userRepo.find({
-  filters: [['id', 'in', userIds]]
+  filters: { id: { $in: userIds } }
 });
 const userMap = new Map(users.map(u => [u.id, u]));
 const tasksWithAssigneeBatched = tasks.map((task) => ({
@@ -516,7 +514,7 @@ query Dashboard {
 // Hook: Automatically assign to least-busy team member
 async function autoAssign(task: any) {
   const members = await app.object('user').aggregate({
-    filters: [['team_id', '=', task.team_id]],
+    filters: { team_id: task.team_id },
     groupBy: ['id', 'name'],
     aggregate: [
       { func: 'count', field: 'tasks.id', alias: 'task_count' }
@@ -581,7 +579,7 @@ AND priority = 'high' AND invalid_function(status);
 **Bad (Application-level aggregation):**
 ```typescript
 const orders = await app.object('order').find({
-  filters: [['status', '=', 'paid']]
+  filters: { status: 'paid' }
 });
 
 // Slow: Iterating in application code
@@ -594,7 +592,7 @@ for (const order of orders) {
 **Good (Database-level aggregation):**
 ```typescript
 const stats = await app.object('order').aggregate({
-  filters: [['status', '=', 'paid']],
+  filters: { status: 'paid' },
   groupBy: ['customer_id'],
   aggregate: [
     { func: 'sum', field: 'amount', alias: 'total_revenue' },
@@ -620,7 +618,7 @@ const uniqueCustomers = [...new Set(orders.map(o => o.customer_id))];
 **Good:**
 ```typescript
 const uniqueCustomers = await app.object('order').distinct('customer_id', {
-  filters: [['year', '=', 2024]]
+  filters: { year: 2024 }
 });
 ```
 
@@ -661,18 +659,19 @@ indexes:
 
 **Bad (OR requires multiple index scans):**
 ```typescript
-filters: [
-  ['status', '=', 'pending'],
-  'or',
-  ['status', '=', 'active']
-]
+filters: {
+  $or: [
+    { status: 'pending' },
+    { status: 'active' }
+  ]
+}
 ```
 
 **Good (IN uses single index scan):**
 ```typescript
-filters: [
-  ['status', 'in', ['pending', 'active']]
-]
+filters: {
+  status: { $in: ['pending', 'active'] }
+}
 ```
 
 **Impact:** 2-5x faster for large tables.
@@ -693,7 +692,7 @@ await app.object('order').find({
 **Good (Cursor pagination using last ID):**
 ```typescript
 await app.object('order').find({
-  filters: [['id', '>', lastSeenId]],
+  filters: { id: { $gt: lastSeenId } },
   limit: 50,
   sort: [['id', 'asc']]
 });
@@ -754,7 +753,7 @@ GET /api/data/tasks?status=active&limit=20
 **After:**
 ```typescript
 await app.object('task').find({
-  filters: [['status', '=', 'active']],
+  filters: { status: 'active' },
   limit: 20
 });
 ```
@@ -764,7 +763,7 @@ await app.object('task').find({
 **Before:**
 ```typescript
 const tasks = await app.object('task').find({
-  filters: [['status', '=', 'active']],
+  filters: { status: 'active' },
   expand: {
     assignee: { fields: ['name', 'email'] }
   }

content/docs/data-access/index.mdx

@@ -61,11 +61,10 @@ const ctx = app.createContext({ isSystem: true });
 // Query data with filters
 const products = await ctx.object('product').find({
   fields: ['name', 'price', 'category'],
-  filters: [
-    ['category', '=', 'electronics'],
-    'and',
-    ['price', '<', 1000]
-  ],
+  filters: {
+    category: 'electronics',
+    price: { $lt: 1000 }
+  },
   sort: [['price', 'asc']],
   top: 10
 });

content/docs/data-access/querying.mdx

@@ -15,10 +15,10 @@ The `find` method recovers a list of records matching specific criteria.
 
 ```typescript
 const products = await app.object('product').find({
-    filters: [
-        ['category', '=', 'electronics'],
-        ['price', '>', 500]
-    ],
+    filters: {
+        category: 'electronics',
+        price: { $gt: 500 }
+    },
     fields: ['name', 'price', 'category'],
     sort: ['-price'], // Descending
     skip: 0,
@@ -28,19 +28,26 @@ const products = await app.object('product').find({
 
 ### Filters
 
-Filters are defined as a 2D array: `[[ field, operator, value ]]`.
+Filters use an object-based syntax with implicit equality and operator objects.
 
 **Implicit AND**:
 ```typescript
-filters: [
-    ['status', '=', 'active'],
-    ['stock', '>', 0]
-]
+filters: {
+    status: 'active',
+    stock: { $gt: 0 }
+}
 // SQL: WHERE status = 'active' AND stock > 0
 ```
 
 **Explicit OR**:
-Use the `_or` special operator in complex filters (see advanced docs).
+```typescript
+filters: {
+    $or: [
+        { status: 'active' },
+        { featured: true }
+    ]
+}
+```
 
 ### Sorting
 
@@ -66,13 +73,13 @@ Updates are always bulk operations targeted by `filters`. To update a single rec
 ```typescript
 // Update specific record
 await app.object('user').update(
-    { filters: [['_id', '=', '123']] }, // Target
+    { filters: { _id: '123' } }, // Target
     { doc: { status: 'active' } }       // Change
 );
 
 // Bulk update
 await app.object('product').update(
-    { filters: [['stock', '=', 0]] },
+    { filters: { stock: 0 } },
     { doc: { status: 'out_of_stock' } }
 );
 ```
@@ -82,7 +89,7 @@ await app.object('product').update(
 ```typescript
 // Delete specific record
 await app.object('user').delete({
-    filters: [['_id', '=', '123']]
+    filters: { _id: '123' }
 });
 ```
 
@@ -141,9 +148,9 @@ There are two ways to filter based on relationships:
 Find tasks where the *project's status* is active.
 *(Note: Requires a driver that supports SQL Joins)*
 ```typescript
-filters: [
-    ['project.status', '=', 'active']
-]
+filters: {
+    'project.status': 'active'
+}
 ```
 
 **B. Filter the Expanded List**
@@ -152,7 +159,7 @@ Find projects, but only include *completed* tasks in the expansion.
 app.object('project').find({
     expand: {
         tasks: {
-            filters: [['status', '=', 'completed']]
+            filters: { status: 'completed' }
         }
     }
 })
@@ -165,7 +172,7 @@ ObjectQL supports SQL-like aggregation via the `aggregate()` method on the repos
 ```typescript
 const stats = await app.object('order').aggregate({
     // 1. Filter first
-    filters: [['status', '=', 'paid']],
+    filters: { status: 'paid' },
 
     // 2. Group by specific fields
     groupBy: ['customer_id'],