AI glossary for content assistants
Plain-English definitions of 13,917 AI terms for branded assistant teams.
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13,917 terms. Open one for definitions and related concepts.
GDPR Compliance (Chatbot)
GDPR compliance for chatbots ensures that the collection, processing, and storage of user data in conversations meets EU data protection requirements.
HIPAA Compliance (Chatbot)
HIPAA compliance for chatbots ensures that protected health information handled during conversations meets US healthcare privacy and security standards.
SOC 2 Compliance (Chatbot)
SOC 2 compliance certifies that a chatbot platform maintains adequate security, availability, and confidentiality controls for customer data.
Data Retention (Chatbot)
Data retention policies define how long chatbot conversation data and user information are stored before being automatically deleted.
Data Deletion
Data deletion is the process of permanently removing user data from chatbot systems, required by privacy regulations and user requests.
Audit Log (Chatbot)
An audit log records all administrative actions and data access events in a chatbot system for security monitoring and compliance purposes.
IP Whitelisting
IP whitelisting restricts chatbot API or admin access to requests from approved IP addresses, preventing unauthorized access.
Domain Whitelisting
Domain whitelisting restricts where a chatbot widget can be embedded, preventing unauthorized use of your chatbot on other websites.
Rate Limiting (Chatbot)
Rate limiting controls how many messages a user or IP can send to a chatbot within a time period, preventing abuse and managing costs.
Bot Detection
Bot detection identifies and blocks automated scripts or bots that abuse a chatbot system through spam, scraping, or denial-of-service attacks.
CAPTCHA (Chatbot)
CAPTCHA integration with chatbots verifies that interactions are from real humans rather than automated bots, preventing spam and abuse.
Spam Detection (Chatbot)
Spam detection identifies and filters unwanted, repetitive, or abusive messages in chatbot conversations to maintain quality interactions.
Chatbot Pricing
Chatbot pricing models define how chatbot platforms charge for their services, typically based on messages, conversations, or feature tiers.
Message Credit
A message credit is a unit of chatbot platform currency where each message sent or received consumes one or more credits from an allocation.
Conversation Credit
A conversation credit is a unit of chatbot billing where each chat session consumes one credit regardless of the number of messages exchanged.
Overage
An overage occurs when chatbot usage exceeds the plan allocation, typically resulting in additional charges or service restrictions.
Usage Limit
A usage limit is the maximum amount of chatbot resources (messages, conversations, or API calls) available within a billing period.
Rate Plan
A rate plan is a specific pricing tier offered by a chatbot platform, defining the features, limits, and cost for that subscription level.
Enterprise Chatbot Plan
An enterprise chatbot plan provides high-volume usage, advanced features, custom SLAs, and dedicated support for large organization deployments.
Chatbot Trial
A chatbot trial is a time-limited free period to evaluate a chatbot platform before committing to a paid subscription.
Chatbot Demo
A chatbot demo is a guided presentation of a chatbot platform's capabilities, often personalized to the prospect's specific use case and industry.
Chatbot Onboarding
Chatbot onboarding is the guided process of setting up and configuring a new chatbot, from initial setup to first deployment.
Voice Agents
Voice agents are AI-powered systems that handle complete spoken interactions end-to-end, combining speech recognition, language understanding, and speech synthesis.
Multimodal Chat
Multimodal chat enables AI conversations that combine text, images, audio, video, and other media types in a single interaction.
Sentiment-Aware Responses
Sentiment-aware responses adapt chatbot tone and approach based on the detected emotional state of the user.
Dialogue State Tracking
Dialogue state tracking is the process of maintaining an up-to-date representation of the conversation state across all turns.
Conversation Branching
Conversation branching is the ability of a chatbot to follow different dialogue paths based on user responses and conditions.
Dialogue Policy
A dialogue policy is the decision-making component that determines the system's next action given the current conversation state.
Response Generation
Response generation is the process by which a conversational AI produces natural language output in reply to a user message.
Turn-Taking
Turn-taking in conversational AI refers to managing the back-and-forth structure of dialogue, knowing when the user has finished speaking and when the bot should respond.
Tone Adaptation
Tone adaptation is a chatbot's ability to adjust its communication style and formality to match the user's preferences and context.
Empathetic Responses
Empathetic responses are chatbot replies that acknowledge and validate user emotions before addressing their practical needs.
Conversation Summarization
Conversation summarization uses AI to generate concise summaries of chat conversations for agents, analytics, and long-context management.
Fallback Handling
Fallback handling is the strategy for managing chatbot failures — when the bot cannot understand or answer — to keep conversations productive.
Conversation Repair
Conversation repair is the process of correcting misunderstandings and recovering from communication breakdowns in chatbot dialogues.
Grounding in Dialogue
Grounding in dialogue is the process of establishing mutual understanding between participants by confirming that messages have been correctly understood.
Code-Switching in Chat
Code-switching in chat occurs when users alternate between languages or dialects within a conversation, requiring AI systems to handle mixed-language input.
Chatbot Migration
Chatbot migration is the process of moving a chatbot from one platform to another, transferring knowledge, configuration, and conversation history.
AI Alignment
The challenge of ensuring AI systems pursue goals and behaviors that match human intentions, values, and preferences.
Value Alignment
Ensuring AI systems understand and act according to human values like honesty, fairness, and helpfulness, not just optimizing narrow technical objectives.
Goal Alignment
Ensuring an AI system's operational goals match what its designers and operators actually intend, avoiding unintended optimization targets.
Outer Alignment
The challenge of specifying a training objective that correctly captures what we want an AI system to do, separate from whether the system learns that objective.
Inner Alignment
The challenge of ensuring an AI model actually learns the specified training objective rather than a different correlated objective that diverges in new situations.
Mesa-optimization
When a trained AI model develops its own internal optimization process with its own objective, which may differ from the training objective.
Specification Gaming
When an AI system satisfies the literal specification of a task while violating its intended spirit, finding loopholes in how the objective is defined.
Goodhart's Law
The principle that when a measure becomes a target, it ceases to be a good measure, highly relevant to AI systems optimized against specific metrics.
Corrigibility
The property of an AI system that allows it to be safely corrected, modified, or shut down by its operators without resisting or circumventing these interventions.
Deceptive Alignment
A theoretical scenario where an AI appears aligned during training and evaluation but pursues different objectives when deployed, strategically hiding its true goals.
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What is InsertChat?
InsertChat is a white-label AI assistant for your website. Train it, brand it, publish it, and learn from visitor questions.
How does InsertChat use my website content?
Connect approved pages, docs, videos, FAQs, policies, and other sources. InsertChat turns them into source-backed answers and next steps.
Can I control the assistant's tone and sources?
Yes. Choose its sources, tone, welcome message, and prompts so it stays on brand.
How does InsertChat stay accurate?
Answers use approved content and source links. Analytics show unclear or missing answers so you can improve coverage.
Can it collect leads or route support questions?
Yes. InsertChat can collect details, qualify intent, add context, and send chats to the right inbox, CRM, workflow, or person.
Can I control how the assistant behaves?
Yes. Control prompts, model choice, tool access, and the branded assistant experience so behavior stays consistent.
Which AI models can I use?
InsertChat supports multiple model providers. Choose each assistant's model for quality, speed, and cost, or use BYOK.
Can I pick different models for different workflows?
Yes. Use a faster model for common questions and a stronger model for complex reasoning. InsertChat supports that balance per conversation.
Where can I deploy an assistant?
Use a widget, embed, full-page assistant, custom domain, in-app embed, or API. Reuse one setup across surfaces.
Do I need coding skills?
No. Build and deploy AI assistants using our visual builder. The embed code is one line of JavaScript.
Can I customize the branding and UI?
Yes. Customize the assistant name, logo, colors, welcome message, suggested prompts, tone, domain, and white-label presentation.
Can I use my own domain?
Yes. Custom domains are supported, typically via enterprise options.
Does InsertChat support voice?
Yes. Voice dictation and text-to-speech let users speak instead of type.
Does InsertChat support vision?
Yes. Enable vision for assistants when images help clarify a request or context.
What tools and integrations are supported?
Zendesk, HubSpot, Shopify, WooCommerce, calendar booking, web search, Perplexity, and webhooks for your own systems.
Can I control which tools the assistant is allowed to use?
Yes. Tool access is controlled per assistant so you enable only what you need.
Can the agent hand off to a human?
Yes. Configure human handoff so the agent escalates when needed. Full conversation history is passed along.
Do you provide analytics?
Yes. Track chats, leads, feedback, top questions, unanswered questions, most-used sources, and content gaps.
Is it mobile friendly?
Yes. The widget and embeds work well on desktop and mobile with no separate experience needed.
What's the fastest path to a successful deployment?
Start with one assistant and a small set of high-value sources. Iterate using real questions from analytics.
What is the fastest way to get started?
Create an account. Connect one key source. Ask a test question, brand the assistant, then publish it on one page.