added todos for the remaining images.

interfaces/basics.mdx

@@ -70,42 +70,34 @@ and in the latter case the tables will all share the same globally set context.
 It's best to showcase this with an example:
 
 ```python
-with unify.Context("Companies"):
-    with unify.Context("Painted Ltd"):
-        with unify.Context("Sales"):
+with unify.Context("Sciences"):
+    with unify.Context("Maths"):
+        unify.log(
+            name="Zoe",
+            question="what is 1 + 1?",
+            region="US"
+        )
+        with unify.Context("Physics"):
             unify.log(
-                {
-                    "revenue": 1000000,
-                    "product": "Paint",
-                }
-            )
-        with unify.Context("Marketing"):
-            unify.log(
-                {
-                    "spend": 1000000,
-                    "format": "TV",
-                }
-            )
-    with unify.Context("Happy Hour Inc"):
-        with unify.Table("Sales"):
-            unify.log(
-                {
-                    "revenue": 2000000,
-                    "product": "Beer",
-                }
-            )
-        with unify.Context("Marketing"):
-            unify.log(
-                {
-                    "spend": 500000,
-                    "format": "Radio",
-                }
+                name="John",
+                question="what is the speed of light?",
+                region="EU"
             )
+with unify.Context("Arts"):
+    with unify.Context("Literature"):
+        unify.log(
+            name="Jane",
+            question="What does this sentence convey?",
+            region="UK"
+        )
 ```
 
 We can then set the contexts for the tab and/or tables in a variety of ways:
 
-GIF
+<Accordion title="In the Interface">
+<img class="dark-light" width="100%" src="https://raw.githubusercontent.com/unifyai/unifyai.github.io/refs/heads/main/img/externally_linked/table_nested_contexts_dark.gif"/>
+click image to maximize
+</Accordion>
 
 ## Feedback
 

interfaces/tables.mdx

@@ -247,7 +247,7 @@ Groups can also be directly filtered. This is useful if you want to select a spe
 The group filtering is applied *independently* to the standard column-wise filtering.
 If you want to propagate the group filters to the columns filters, you can simply press "propagate" in the group filter dropdown.
 
-{/* GIF */}
+IMG 🛑 {/* ToDo: Add support for group filtering (https://app.clickup.com/t/86c1xw3tp) */}
 
 ### Global
 

interfaces/views.mdx

@@ -18,8 +18,7 @@ In it's most basic form, the view pane acts as an expressive viewer for whatever
 
 These cells can be part of the same row, different rows, different columns, or any combination. In all cases, **all** of the data will be shown in the view pane.
 
-{/* ToDo: Support Multi-Cell Selection without showing "No Data" (https://app.clickup.com/t/86c278n0e) */}
-GIF
+IMG 🛑 {/* ToDo: Fix zero-based row issue (https://app.clickup.com/t/86c2anvn0) */}
 
 ## Grouping
 
@@ -92,16 +91,14 @@ Columns can easily be moved in the view pane by selecting drag mode and then sim
 Sometimes it's more convenient to view the data **side-by-side**, the split view makes this easy.
 You can toggle between one, two and three views.
 
-{/* ToDo: Nests not working (https://app.clickup.com/t/86c2793jk) */}
-GIF
+IMG 🛑 {/* ToDo: Fix zero-based row issue (https://app.clickup.com/t/86c2anvn0) */}
 
 ## Nesting
 
 By default, the view pane will only expand one nest level at a time.
 The deeper contents of dicts and lists are lazily loaded as the nest is incrementally expanded.
 
-{/* ToDo: Nests not working (https://app.clickup.com/t/86c2793jk) */}
-GIF
+IMG 🛑 {/* ToDo: Fix zero-based row issue (https://app.clickup.com/t/86c2anvn0) */}
 
 ## Diffs
 

logging/contexts.mdx

@@ -170,7 +170,7 @@ If any logs are then updated inplace, they will be reflected in all contexts.
 [l.update(entries={"passed": True}) for l in logs]
 ```
 
-GIF
+IMG 🛑 {/* ToDo: Get implicit fields working correctly (https://app.clickup.com/t/86c2aq09m) */}
 
 Note that in this case, the `ExtraSupport` and `Failed` contexts are "disconnected",
 and therefore both sets of logs **cannot** be viewed in a single table.

logging/datasets.mdx

@@ -28,11 +28,12 @@ You can upload any dataset to your interface like so.
 my_dataset.upload()
 ```
 
-The `unify.Dataset` class automatically sets the context as `f"Datasets/{name}"`, so your dataset can be viewed at `Datasets/my_dataset`.
+The `unify.Dataset` class automatically sets the context as `f"Datasets/{name}"`,
+so your dataset can be viewed at `Datasets/my_dataset`.
 
-GIF
+IMG 🛑 {/* ToDo: Fix broken contexts (https://app.clickup.com/t/86c2arbbk) */}
 
-    Setting `overwrite=True` will overwrite any existing dataset with the same name 
+Setting `overwrite=True` will overwrite any existing dataset with the same name 
 (even if the upstream dataset contained more data not included in the upload).
 
 ```python
@@ -105,13 +106,13 @@ my_sub_dataset = unify.Dataset(
 ).upload()
 ```
 
-IMG
+IMG 🛑 {/* ToDo: Fix broken contexts (https://app.clickup.com/t/86c2arbbk) */}
 
 Editing a log (row) in one dataset will be reflected in the other.
 
-IMG
+IMG 🛑 {/* ToDo: Get implicit fields working correctly (https://app.clickup.com/t/86c2aq09m) */}
 
 Logs can also be removed from one dataset table, without deleting it from the other.
 However, if the log is deleted from both datasets, then it will be deleted entirely.
 
-IMG
+IMG 🛑 {/* ToDo: Fix broken contexts (https://app.clickup.com/t/86c2arbbk) */}

logging/traces.mdx

@@ -55,7 +55,7 @@ client = unify.Unify("o3-mini@openai", traced=True)
 client.generate("Hello, world!")
 ```
 
-GIF
+IMG 🛑 {/* ToDo: Add tokens to spans (https://app.clickup.com/t/86c2442zw) */}
 
 
 When these LLM calls are part of a broader trace, then the cost and tokens are accumulated in the trace, propogating the cost and tokens to the parent spans.
@@ -70,4 +70,4 @@ def llm_jury(question):
 llm_jury("What is the capital of France?")
 ``` 
 
-GIF
+IMG 🛑 {/* ToDo: Add tokens to spans (https://app.clickup.com/t/86c2442zw) */}