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How To Use the AI Response Info Panel to Track and Troubleshoot Tekmatix Bot Interactions
How To Use the New AI Response Info Panel to Track and Troubleshoot Tekmatix Bot Interactions
Tekmatix has rolled out important upgrades to the Response Info panel within Conversation AI — giving users clearer visibility into how AI responses are generated and what actions were executed behind the scenes.
Whether you’re managing support bots, appointment booking bots, or Q&A flows, this enhanced panel makes it easier to audit bot behavior, review context, and verify actions — all in one place.
Why This Matters
AI bots are only as effective as their context and logic. With these new tools in Tekmatix, users can now:
Track what the bot saw and used to respond
Understand which actions were triggered by AI
Spot potential issues and troubleshoot responses faster
It’s transparency, accountability, and control — made easier for support and automation teams.
What’s New in the Response Info Panel
Here are the three major enhancements now available:
Agent Preview
In the AI Message Details, you can now view the Agent Name responsible for the AI message.
This helps distinguish between multiple bots or workflows when tracking user interactions.
Chat History Tab
A new Chat History tab shows previous conversations that were used to generate the AI response.
You’ll see only the relevant user-bot exchanges that were pulled as context.
This makes it easier to verify if the AI had the correct context when answering.
Action Execution History
At the bottom of the panel, you'll now find an Action Execution History section.
This tracks everything the bot attempted behind the scenes to generate the response.
For each action, you can see:
Action Description: (e.g., “Booking appointment slots”)
Request Sent to AI: What the bot asked the AI to do
AI Response Output: The final result returned by the AI or system
Step-by-Step: How to Use the New Response Info Panel
Step 1: Open the Inbox & Chats
Go to Inbox
Open any customer thread involving a Conversation AI bot
Step 2: Click “Response Info”
On any AI-generated message, click Response Info to open the panel
You’ll see the AI message data including the prompt, context used, and actions triggered
Step 3: Navigate the New Tabs
Agent Name: Found at the top — helps identify which bot handled the message
Chat History Tab: Shows prior user interactions used for context
Action Execution History: Expand the dropdown to view AI actions with detailed logs
Sample Use Case: Troubleshooting an Appointment Booking Response
Scenario:
A customer used your AI bot to book an appointment but claims they didn’t get any available times.
Steps You Take:
Open the conversation and click Response Info
Go to Chat History to confirm the customer’s original query and the context the bot received
Expand Action Execution History
You see: “Request sent to AI: Getting slots on Oct 14th from 7 AM–7 PM”
AI returned: “Slots fetched from the calendar”
You verify that the slot was sent but the message failed due to user error or follow-up logic
Result: You pinpoint the problem quickly — saving time and improving the bot's accuracy.
Tips to Maximize This Feature
Use Chat History to validate if your AI bot is using the right context
Use Action Execution History to debug failed workflows (especially useful for appointment bots, workflow triggers, and contact updates)
Use Agent Preview to compare how different bots respond across scenarios
Latest Blog Posts
How To Use the AI Response Info Panel to Track and Troubleshoot Tekmatix Bot Interactions
How To Use the New AI Response Info Panel to Track and Troubleshoot Tekmatix Bot Interactions
Tekmatix has rolled out important upgrades to the Response Info panel within Conversation AI — giving users clearer visibility into how AI responses are generated and what actions were executed behind the scenes.
Whether you’re managing support bots, appointment booking bots, or Q&A flows, this enhanced panel makes it easier to audit bot behavior, review context, and verify actions — all in one place.
Why This Matters
AI bots are only as effective as their context and logic. With these new tools in Tekmatix, users can now:
Track what the bot saw and used to respond
Understand which actions were triggered by AI
Spot potential issues and troubleshoot responses faster
It’s transparency, accountability, and control — made easier for support and automation teams.
What’s New in the Response Info Panel
Here are the three major enhancements now available:
Agent Preview
In the AI Message Details, you can now view the Agent Name responsible for the AI message.
This helps distinguish between multiple bots or workflows when tracking user interactions.
Chat History Tab
A new Chat History tab shows previous conversations that were used to generate the AI response.
You’ll see only the relevant user-bot exchanges that were pulled as context.
This makes it easier to verify if the AI had the correct context when answering.
Action Execution History
At the bottom of the panel, you'll now find an Action Execution History section.
This tracks everything the bot attempted behind the scenes to generate the response.
For each action, you can see:
Action Description: (e.g., “Booking appointment slots”)
Request Sent to AI: What the bot asked the AI to do
AI Response Output: The final result returned by the AI or system
Step-by-Step: How to Use the New Response Info Panel
Step 1: Open the Inbox & Chats
Go to Inbox
Open any customer thread involving a Conversation AI bot
Step 2: Click “Response Info”
On any AI-generated message, click Response Info to open the panel
You’ll see the AI message data including the prompt, context used, and actions triggered
Step 3: Navigate the New Tabs
Agent Name: Found at the top — helps identify which bot handled the message
Chat History Tab: Shows prior user interactions used for context
Action Execution History: Expand the dropdown to view AI actions with detailed logs
Sample Use Case: Troubleshooting an Appointment Booking Response
Scenario:
A customer used your AI bot to book an appointment but claims they didn’t get any available times.
Steps You Take:
Open the conversation and click Response Info
Go to Chat History to confirm the customer’s original query and the context the bot received
Expand Action Execution History
You see: “Request sent to AI: Getting slots on Oct 14th from 7 AM–7 PM”
AI returned: “Slots fetched from the calendar”
You verify that the slot was sent but the message failed due to user error or follow-up logic
Result: You pinpoint the problem quickly — saving time and improving the bot's accuracy.
Tips to Maximize This Feature
Use Chat History to validate if your AI bot is using the right context
Use Action Execution History to debug failed workflows (especially useful for appointment bots, workflow triggers, and contact updates)
Use Agent Preview to compare how different bots respond across scenarios
Marketing
How To Use the AI Response Info Panel to Track and Troubleshoot Tekmatix Bot Interactions
How To Use the New AI Response Info Panel to Track and Troubleshoot Tekmatix Bot Interactions
Tekmatix has rolled out important upgrades to the Response Info panel within Conversation AI — giving users clearer visibility into how AI responses are generated and what actions were executed behind the scenes.
Whether you’re managing support bots, appointment booking bots, or Q&A flows, this enhanced panel makes it easier to audit bot behavior, review context, and verify actions — all in one place.
Why This Matters
AI bots are only as effective as their context and logic. With these new tools in Tekmatix, users can now:
Track what the bot saw and used to respond
Understand which actions were triggered by AI
Spot potential issues and troubleshoot responses faster
It’s transparency, accountability, and control — made easier for support and automation teams.
What’s New in the Response Info Panel
Here are the three major enhancements now available:
Agent Preview
In the AI Message Details, you can now view the Agent Name responsible for the AI message.
This helps distinguish between multiple bots or workflows when tracking user interactions.
Chat History Tab
A new Chat History tab shows previous conversations that were used to generate the AI response.
You’ll see only the relevant user-bot exchanges that were pulled as context.
This makes it easier to verify if the AI had the correct context when answering.
Action Execution History
At the bottom of the panel, you'll now find an Action Execution History section.
This tracks everything the bot attempted behind the scenes to generate the response.
For each action, you can see:
Action Description: (e.g., “Booking appointment slots”)
Request Sent to AI: What the bot asked the AI to do
AI Response Output: The final result returned by the AI or system
Step-by-Step: How to Use the New Response Info Panel
Step 1: Open the Inbox & Chats
Go to Inbox
Open any customer thread involving a Conversation AI bot
Step 2: Click “Response Info”
On any AI-generated message, click Response Info to open the panel
You’ll see the AI message data including the prompt, context used, and actions triggered
Step 3: Navigate the New Tabs
Agent Name: Found at the top — helps identify which bot handled the message
Chat History Tab: Shows prior user interactions used for context
Action Execution History: Expand the dropdown to view AI actions with detailed logs
Sample Use Case: Troubleshooting an Appointment Booking Response
Scenario:
A customer used your AI bot to book an appointment but claims they didn’t get any available times.
Steps You Take:
Open the conversation and click Response Info
Go to Chat History to confirm the customer’s original query and the context the bot received
Expand Action Execution History
You see: “Request sent to AI: Getting slots on Oct 14th from 7 AM–7 PM”
AI returned: “Slots fetched from the calendar”
You verify that the slot was sent but the message failed due to user error or follow-up logic
Result: You pinpoint the problem quickly — saving time and improving the bot's accuracy.
Tips to Maximize This Feature
Use Chat History to validate if your AI bot is using the right context
Use Action Execution History to debug failed workflows (especially useful for appointment bots, workflow triggers, and contact updates)
Use Agent Preview to compare how different bots respond across scenarios
How To Use the AI Response Info Panel to Track and Troubleshoot Tekmatix Bot Interactions
How To Use the New AI Response Info Panel to Track and Troubleshoot Tekmatix Bot Interactions
Tekmatix has rolled out important upgrades to the Response Info panel within Conversation AI — giving users clearer visibility into how AI responses are generated and what actions were executed behind the scenes.
Whether you’re managing support bots, appointment booking bots, or Q&A flows, this enhanced panel makes it easier to audit bot behavior, review context, and verify actions — all in one place.
Why This Matters
AI bots are only as effective as their context and logic. With these new tools in Tekmatix, users can now:
Track what the bot saw and used to respond
Understand which actions were triggered by AI
Spot potential issues and troubleshoot responses faster
It’s transparency, accountability, and control — made easier for support and automation teams.
What’s New in the Response Info Panel
Here are the three major enhancements now available:
Agent Preview
In the AI Message Details, you can now view the Agent Name responsible for the AI message.
This helps distinguish between multiple bots or workflows when tracking user interactions.
Chat History Tab
A new Chat History tab shows previous conversations that were used to generate the AI response.
You’ll see only the relevant user-bot exchanges that were pulled as context.
This makes it easier to verify if the AI had the correct context when answering.
Action Execution History
At the bottom of the panel, you'll now find an Action Execution History section.
This tracks everything the bot attempted behind the scenes to generate the response.
For each action, you can see:
Action Description: (e.g., “Booking appointment slots”)
Request Sent to AI: What the bot asked the AI to do
AI Response Output: The final result returned by the AI or system
Step-by-Step: How to Use the New Response Info Panel
Step 1: Open the Inbox & Chats
Go to Inbox
Open any customer thread involving a Conversation AI bot
Step 2: Click “Response Info”
On any AI-generated message, click Response Info to open the panel
You’ll see the AI message data including the prompt, context used, and actions triggered
Step 3: Navigate the New Tabs
Agent Name: Found at the top — helps identify which bot handled the message
Chat History Tab: Shows prior user interactions used for context
Action Execution History: Expand the dropdown to view AI actions with detailed logs
Sample Use Case: Troubleshooting an Appointment Booking Response
Scenario:
A customer used your AI bot to book an appointment but claims they didn’t get any available times.
Steps You Take:
Open the conversation and click Response Info
Go to Chat History to confirm the customer’s original query and the context the bot received
Expand Action Execution History
You see: “Request sent to AI: Getting slots on Oct 14th from 7 AM–7 PM”
AI returned: “Slots fetched from the calendar”
You verify that the slot was sent but the message failed due to user error or follow-up logic
Result: You pinpoint the problem quickly — saving time and improving the bot's accuracy.
Tips to Maximize This Feature
Use Chat History to validate if your AI bot is using the right context
Use Action Execution History to debug failed workflows (especially useful for appointment bots, workflow triggers, and contact updates)
Use Agent Preview to compare how different bots respond across scenarios
CRM
How To Use the AI Response Info Panel to Track and Troubleshoot Tekmatix Bot Interactions
How To Use the New AI Response Info Panel to Track and Troubleshoot Tekmatix Bot Interactions
Tekmatix has rolled out important upgrades to the Response Info panel within Conversation AI — giving users clearer visibility into how AI responses are generated and what actions were executed behind the scenes.
Whether you’re managing support bots, appointment booking bots, or Q&A flows, this enhanced panel makes it easier to audit bot behavior, review context, and verify actions — all in one place.
Why This Matters
AI bots are only as effective as their context and logic. With these new tools in Tekmatix, users can now:
Track what the bot saw and used to respond
Understand which actions were triggered by AI
Spot potential issues and troubleshoot responses faster
It’s transparency, accountability, and control — made easier for support and automation teams.
What’s New in the Response Info Panel
Here are the three major enhancements now available:
Agent Preview
In the AI Message Details, you can now view the Agent Name responsible for the AI message.
This helps distinguish between multiple bots or workflows when tracking user interactions.
Chat History Tab
A new Chat History tab shows previous conversations that were used to generate the AI response.
You’ll see only the relevant user-bot exchanges that were pulled as context.
This makes it easier to verify if the AI had the correct context when answering.
Action Execution History
At the bottom of the panel, you'll now find an Action Execution History section.
This tracks everything the bot attempted behind the scenes to generate the response.
For each action, you can see:
Action Description: (e.g., “Booking appointment slots”)
Request Sent to AI: What the bot asked the AI to do
AI Response Output: The final result returned by the AI or system
Step-by-Step: How to Use the New Response Info Panel
Step 1: Open the Inbox & Chats
Go to Inbox
Open any customer thread involving a Conversation AI bot
Step 2: Click “Response Info”
On any AI-generated message, click Response Info to open the panel
You’ll see the AI message data including the prompt, context used, and actions triggered
Step 3: Navigate the New Tabs
Agent Name: Found at the top — helps identify which bot handled the message
Chat History Tab: Shows prior user interactions used for context
Action Execution History: Expand the dropdown to view AI actions with detailed logs
Sample Use Case: Troubleshooting an Appointment Booking Response
Scenario:
A customer used your AI bot to book an appointment but claims they didn’t get any available times.
Steps You Take:
Open the conversation and click Response Info
Go to Chat History to confirm the customer’s original query and the context the bot received
Expand Action Execution History
You see: “Request sent to AI: Getting slots on Oct 14th from 7 AM–7 PM”
AI returned: “Slots fetched from the calendar”
You verify that the slot was sent but the message failed due to user error or follow-up logic
Result: You pinpoint the problem quickly — saving time and improving the bot's accuracy.
Tips to Maximize This Feature
Use Chat History to validate if your AI bot is using the right context
Use Action Execution History to debug failed workflows (especially useful for appointment bots, workflow triggers, and contact updates)
Use Agent Preview to compare how different bots respond across scenarios
How To Use the AI Response Info Panel to Track and Troubleshoot Tekmatix Bot Interactions
How To Use the New AI Response Info Panel to Track and Troubleshoot Tekmatix Bot Interactions
Tekmatix has rolled out important upgrades to the Response Info panel within Conversation AI — giving users clearer visibility into how AI responses are generated and what actions were executed behind the scenes.
Whether you’re managing support bots, appointment booking bots, or Q&A flows, this enhanced panel makes it easier to audit bot behavior, review context, and verify actions — all in one place.
Why This Matters
AI bots are only as effective as their context and logic. With these new tools in Tekmatix, users can now:
Track what the bot saw and used to respond
Understand which actions were triggered by AI
Spot potential issues and troubleshoot responses faster
It’s transparency, accountability, and control — made easier for support and automation teams.
What’s New in the Response Info Panel
Here are the three major enhancements now available:
Agent Preview
In the AI Message Details, you can now view the Agent Name responsible for the AI message.
This helps distinguish between multiple bots or workflows when tracking user interactions.
Chat History Tab
A new Chat History tab shows previous conversations that were used to generate the AI response.
You’ll see only the relevant user-bot exchanges that were pulled as context.
This makes it easier to verify if the AI had the correct context when answering.
Action Execution History
At the bottom of the panel, you'll now find an Action Execution History section.
This tracks everything the bot attempted behind the scenes to generate the response.
For each action, you can see:
Action Description: (e.g., “Booking appointment slots”)
Request Sent to AI: What the bot asked the AI to do
AI Response Output: The final result returned by the AI or system
Step-by-Step: How to Use the New Response Info Panel
Step 1: Open the Inbox & Chats
Go to Inbox
Open any customer thread involving a Conversation AI bot
Step 2: Click “Response Info”
On any AI-generated message, click Response Info to open the panel
You’ll see the AI message data including the prompt, context used, and actions triggered
Step 3: Navigate the New Tabs
Agent Name: Found at the top — helps identify which bot handled the message
Chat History Tab: Shows prior user interactions used for context
Action Execution History: Expand the dropdown to view AI actions with detailed logs
Sample Use Case: Troubleshooting an Appointment Booking Response
Scenario:
A customer used your AI bot to book an appointment but claims they didn’t get any available times.
Steps You Take:
Open the conversation and click Response Info
Go to Chat History to confirm the customer’s original query and the context the bot received
Expand Action Execution History
You see: “Request sent to AI: Getting slots on Oct 14th from 7 AM–7 PM”
AI returned: “Slots fetched from the calendar”
You verify that the slot was sent but the message failed due to user error or follow-up logic
Result: You pinpoint the problem quickly — saving time and improving the bot's accuracy.
Tips to Maximize This Feature
Use Chat History to validate if your AI bot is using the right context
Use Action Execution History to debug failed workflows (especially useful for appointment bots, workflow triggers, and contact updates)
Use Agent Preview to compare how different bots respond across scenarios
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Web Design
How To Use the AI Response Info Panel to Track and Troubleshoot Tekmatix Bot Interactions
How To Use the New AI Response Info Panel to Track and Troubleshoot Tekmatix Bot Interactions
Tekmatix has rolled out important upgrades to the Response Info panel within Conversation AI — giving users clearer visibility into how AI responses are generated and what actions were executed behind the scenes.
Whether you’re managing support bots, appointment booking bots, or Q&A flows, this enhanced panel makes it easier to audit bot behavior, review context, and verify actions — all in one place.
Why This Matters
AI bots are only as effective as their context and logic. With these new tools in Tekmatix, users can now:
Track what the bot saw and used to respond
Understand which actions were triggered by AI
Spot potential issues and troubleshoot responses faster
It’s transparency, accountability, and control — made easier for support and automation teams.
What’s New in the Response Info Panel
Here are the three major enhancements now available:
Agent Preview
In the AI Message Details, you can now view the Agent Name responsible for the AI message.
This helps distinguish between multiple bots or workflows when tracking user interactions.
Chat History Tab
A new Chat History tab shows previous conversations that were used to generate the AI response.
You’ll see only the relevant user-bot exchanges that were pulled as context.
This makes it easier to verify if the AI had the correct context when answering.
Action Execution History
At the bottom of the panel, you'll now find an Action Execution History section.
This tracks everything the bot attempted behind the scenes to generate the response.
For each action, you can see:
Action Description: (e.g., “Booking appointment slots”)
Request Sent to AI: What the bot asked the AI to do
AI Response Output: The final result returned by the AI or system
Step-by-Step: How to Use the New Response Info Panel
Step 1: Open the Inbox & Chats
Go to Inbox
Open any customer thread involving a Conversation AI bot
Step 2: Click “Response Info”
On any AI-generated message, click Response Info to open the panel
You’ll see the AI message data including the prompt, context used, and actions triggered
Step 3: Navigate the New Tabs
Agent Name: Found at the top — helps identify which bot handled the message
Chat History Tab: Shows prior user interactions used for context
Action Execution History: Expand the dropdown to view AI actions with detailed logs
Sample Use Case: Troubleshooting an Appointment Booking Response
Scenario:
A customer used your AI bot to book an appointment but claims they didn’t get any available times.
Steps You Take:
Open the conversation and click Response Info
Go to Chat History to confirm the customer’s original query and the context the bot received
Expand Action Execution History
You see: “Request sent to AI: Getting slots on Oct 14th from 7 AM–7 PM”
AI returned: “Slots fetched from the calendar”
You verify that the slot was sent but the message failed due to user error or follow-up logic
Result: You pinpoint the problem quickly — saving time and improving the bot's accuracy.
Tips to Maximize This Feature
Use Chat History to validate if your AI bot is using the right context
Use Action Execution History to debug failed workflows (especially useful for appointment bots, workflow triggers, and contact updates)
Use Agent Preview to compare how different bots respond across scenarios
How To Use the AI Response Info Panel to Track and Troubleshoot Tekmatix Bot Interactions
How To Use the New AI Response Info Panel to Track and Troubleshoot Tekmatix Bot Interactions
Tekmatix has rolled out important upgrades to the Response Info panel within Conversation AI — giving users clearer visibility into how AI responses are generated and what actions were executed behind the scenes.
Whether you’re managing support bots, appointment booking bots, or Q&A flows, this enhanced panel makes it easier to audit bot behavior, review context, and verify actions — all in one place.
Why This Matters
AI bots are only as effective as their context and logic. With these new tools in Tekmatix, users can now:
Track what the bot saw and used to respond
Understand which actions were triggered by AI
Spot potential issues and troubleshoot responses faster
It’s transparency, accountability, and control — made easier for support and automation teams.
What’s New in the Response Info Panel
Here are the three major enhancements now available:
Agent Preview
In the AI Message Details, you can now view the Agent Name responsible for the AI message.
This helps distinguish between multiple bots or workflows when tracking user interactions.
Chat History Tab
A new Chat History tab shows previous conversations that were used to generate the AI response.
You’ll see only the relevant user-bot exchanges that were pulled as context.
This makes it easier to verify if the AI had the correct context when answering.
Action Execution History
At the bottom of the panel, you'll now find an Action Execution History section.
This tracks everything the bot attempted behind the scenes to generate the response.
For each action, you can see:
Action Description: (e.g., “Booking appointment slots”)
Request Sent to AI: What the bot asked the AI to do
AI Response Output: The final result returned by the AI or system
Step-by-Step: How to Use the New Response Info Panel
Step 1: Open the Inbox & Chats
Go to Inbox
Open any customer thread involving a Conversation AI bot
Step 2: Click “Response Info”
On any AI-generated message, click Response Info to open the panel
You’ll see the AI message data including the prompt, context used, and actions triggered
Step 3: Navigate the New Tabs
Agent Name: Found at the top — helps identify which bot handled the message
Chat History Tab: Shows prior user interactions used for context
Action Execution History: Expand the dropdown to view AI actions with detailed logs
Sample Use Case: Troubleshooting an Appointment Booking Response
Scenario:
A customer used your AI bot to book an appointment but claims they didn’t get any available times.
Steps You Take:
Open the conversation and click Response Info
Go to Chat History to confirm the customer’s original query and the context the bot received
Expand Action Execution History
You see: “Request sent to AI: Getting slots on Oct 14th from 7 AM–7 PM”
AI returned: “Slots fetched from the calendar”
You verify that the slot was sent but the message failed due to user error or follow-up logic
Result: You pinpoint the problem quickly — saving time and improving the bot's accuracy.
Tips to Maximize This Feature
Use Chat History to validate if your AI bot is using the right context
Use Action Execution History to debug failed workflows (especially useful for appointment bots, workflow triggers, and contact updates)
Use Agent Preview to compare how different bots respond across scenarios
