The company
Who develops tools and models.
OpenAI / Anthropic →Understand to build
From companies and tools to models and use cases: 93 definitions to understand what you use and follow Knowledge Hub projects.
Who develops tools and models.
OpenAI / Anthropic →The workspace you use.
ChatGPT / Claude →Tools for acting on a project.
Codex / Claude Code →The engine selected for a task.
Astra / Opus / Gemini →Tell them apart : GPT-6 Astra / Project Astra / iAstro · Claude Design / Claude Code
New entries include dated references. Names, versions and availability change; official links let you check them.
93 / 93 terms
Agents and automation
An instruction file for agents working on a project: structure, commands, tests and conventions. Complements the human-facing README.
Sources : AGENTS.md · Checked
Agents and automation
A system using a model and tools to pursue a goal across multiple steps, within a defined scope and controls.
Sources : OpenAI · Tools · Checked
Models
A trained system that turns input into predictions or content. One application can combine multiple models and tools.
Sources : Google · Machine Learning Glossary · Checked
Companies and platforms
The American lab that creates Claude, focused on model reliability and safety.
Data and search
An interface for software to request data or actions from another service under defined rules and permissions.
Data and search
A subscription provides application access within limits. An API lets software call a service; permissions and billing may be separate.
Sources : OpenAI · Pricing · Checked
Foundations
Computer systems that recognize, predict, generate or plan. Capabilities and reliability depend on their design and the context.
Foundations
Information saved and reused across interactions. Memory depends on the application and differs from current context and knowledge acquired during training.
Sources : OpenAI · Conversation state · Checked
Models
An OpenAI model for complex reasoning, coding and research tasks. Distinct from Project Astra, Google DeepMind’s project.
Sources : OpenAI · GPT-6 Astra · Checked
Quality and verification
A set of tests used to compare systems. A strong score does not by itself establish quality for your own work.
Sources : OpenAI · Evaluation · Checked
Apps and assistants
A program that posts messages on Telegram; a public channel is followable by anyone via a simple link.
Apps and assistants
OpenAI’s tool for conversation, research, analysis and creation with AI. Capabilities depend on the selected model, available tools and granted access.
Sources : OpenAI · ChatGPT · Checked
Apps and assistants
A way to delegate work to ChatGPT through to a reviewable result: analysis, documents, presentations or research using authorized tools.
Sources : OpenAI · ChatGPT · Checked
Apps and assistants
Anthropic’s model family and assistant, used through conversation, Cowork, Claude Code or Claude Design.
Sources : Anthropic · modèles / models · Checked
Apps and assistants
Three ways to use Claude: chat (Chat), delegate office work (Cowork), act on files and projects (Code).
Apps and assistants
Anthropic’s coding agent. It explores a project, edits files and uses tools to build, test or fix software.
Sources : Anthropic · Claude Code · Checked
Apps and assistants
Claude’s workspace for delegating work, including tasks involving files and documents, within the access authorized by the user.
Sources : Anthropic · Claude Cowork · Checked
Images, voice and design
Anthropic’s product for creating designs, prototypes, presentations and visual materials through conversation. Results can be refined and handed to Claude Code.
Sources : Anthropic · Claude Design · Checked
Agents and automation
A file Claude reads at startup: tone, conventions, pitfalls. It saves you from re-explaining everything every conversation.
Apps and assistants
OpenAI’s agent for project work: understanding files, editing code, running tests and preparing reviewable results. It uses a GPT model.
Sources : OpenAI · ChatGPT · Checked
Development
A record of changes in Git history, with an identifier and message, helping explain, compare and retrieve project versions.
Sources : Git · glossary · Checked
Agents and automation
A method that turns lessons learned into reusable instructions, tools or tests. Improvement depends on corrections actually being retained and applied.
Agents and automation
An agent’s ability to interact with an interface by reading screens, clicking and typing. Sensitive actions still need appropriate permissions and confirmation.
Sources : OpenAI · Computer use · Checked
Agents and automation
An integration providing access to a service or its data within granted permissions. Reading and editing require different rights.
Sources : Model Context Protocol · Checked
Foundations
The amount of information a model can process in one request: instructions, conversation, documents and response. A large window does not guarantee understanding.
Sources : OpenAI · Conversation state · Checked
Agents and automation
A timer that launches a task automatically at regular intervals (e.g. every morning at 7am).
Apps and assistants
An AI development environment and coding agent for understanding projects, writing code, fixing errors and reviewing changes.
Sources : Cursor · documentation · Checked
Apps and assistants
A research mode that explores multiple sources and prepares a synthesis. Citations, dates and conclusions still need review.
Sources : Perplexity · documentation · Checked
Images, voice and design
Shared visual rules and components: colors, typography, spacing and interface elements. They make designs consistent across formats.
Sources : Anthropic · Claude Design · Checked
Development
A comparison of file or project versions showing additions, changes and deletions. A foundation for code review.
Sources : Git · glossary · Checked
Images, voice and design
An AI audio and voice platform with speech synthesis, transcription and voice tools. It is used in the Podcast iA production process.
Sources : ElevenLabs · documentation · Checked
Data and search
A numerical representation of content used to compare semantic similarity, notably to retrieve relevant passages.
Sources : OpenAI · Retrieval · Checked
Quality and verification
Tests on representative cases that measure AI system quality, compare versions and detect regressions.
Sources : OpenAI · Evaluation · Checked
Models
A Claude model family listed alongside Opus, Sonnet and Haiku in Anthropic’s catalog. This is a model name, not a design application.
Sources : Anthropic · modèles / models · Checked
Agents and automation
Including a few examples of the desired result in a prompt to clarify the format or task without retraining.
Sources : OpenAI · Prompt engineering · Checked
Data and search
Additional training on selected examples to adapt model behavior. Adding documents to a conversation is not fine-tuning.
Sources : OpenAI · Model optimization · Checked
Models
The name of Google’s model family and assistant application. Specify “Gemini model” or “Gemini app” to distinguish the two.
Sources : Google DeepMind · Gemini · Checked
Apps and assistants
Google’s tool, formerly NotebookLM, for exploring sources, asking questions and producing summaries, including audio. Answers still need checking.
Sources : Google · Gemini Notebook · Checked
Foundations
An AI that produces new content (text, image, code) from a simple instruction, instead of executing a single programmed task.
Data and search
The SEO equivalent for AI: optimizing your content to be cited by assistants (ChatGPT, Claude, Perplexity). That's the goal of this site.
Development
A line of work in Git history for preparing changes before integration.
Sources : Git · glossary · Checked
Development
A platform for hosting Git repositories and collaborating on code. Tests and deployments can be automated when configured.
Apps and assistants
GitHub’s development assistant: code suggestions, chat, review assistance and agent capabilities depending on context. Distinct from other products named Copilot.
Sources : GitHub · Copilot · Checked
Companies and platforms
Google’s AI research and development organization, behind Gemini models and the multimodal assistant research project Project Astra.
Sources : Google DeepMind · Project Astra · Checked
Models
A family of OpenAI models. GPT is the engine; ChatGPT and Codex provide interfaces and tools for using it.
Sources : OpenAI · GPT · Checked
Quality and verification
Building an answer from identifiable documents or results. Keeping references helps distinguish retrieved facts from model inferences.
Sources : OpenAI · Retrieval · Checked
Quality and verification
Limits and controls around AI systems: restricted access, output checks and approvals before certain actions. No individual safeguard is infallible.
Sources : OpenAI · Agent safety · Checked
Quality and verification
When an LLM confidently invents a false answer. Hence the basic rule: verify facts, numbers, and references.
Companies and platforms
A platform for sharing and discovering models, datasets and demonstrations. Each resource has its own terms of use.
Sources : Hugging Face · Hub · Checked
Quality and verification
A person checks a result or approves an action before execution. The review should specify the action and data involved.
Sources : OpenAI · Agent safety · Checked
Images, voice and design
The android character created for Hugo’s AI watch: comic partner and podcast visual identity. An editorial character, not an AI model.
Sources : Knowledge Hub · Hugo × iAstro · Checked
Images, voice and design
Creating an image from instructions and, depending on the tool, reference images. Character consistency requires references and iterative corrections.
Sources : OpenAI · Image generation · Checked
Foundations
Using an already trained model to produce an answer or prediction from new input.
Sources : Google · Machine Learning Glossary · Checked
Images, voice and design
Editing a region of an image while preserving the rest as much as possible. A mask usually identifies the target area.
Sources : OpenAI · Image generation · Checked
Foundations
The engine behind assistants like Claude or ChatGPT: a model trained on enormous amounts of text that predicts the most plausible continuation of what you type.
Foundations
Learning patterns from data to perform a task without manually writing every decision rule.
Sources : Google · Machine Learning Glossary · Checked
Agents and automation
An open protocol connecting AI applications to data and tools. It standardizes communication; permissions and integrations still need configuration.
Sources : Model Context Protocol · Checked
Companies and platforms
The French company developing AI models and products including Mistral Vibe. Check each model’s license before calling it open source.
Sources : Mistral AI · Vibe · Checked
Apps and assistants
Mistral’s product combining a work assistant, formerly Le Chat, with a coding agent. An example of product naming evolving over time.
Sources : Mistral AI · Vibe · Checked
Foundations
Capable of processing multiple types of input — text, image, audio — not just text.
Data and search
Extracting text from an image or scanned document. Recognizing characters and understanding a document’s meaning are different tasks.
Sources : OpenAI · Images and vision · Checked
Apps and assistants
A tool for running models on your machine, with cloud options too. Memory requirements and permitted uses depend on the model.
Sources : Ollama · documentation · Checked
Development
Software licensed for use, study, modification and redistribution. Visible code, free access and open weights alone do not establish open-source status.
Sources : Open Source Initiative · Checked
Models
A model whose trained parameters can be downloaded and used under a license. Training data and code are not necessarily open.
Companies and platforms
The organization behind GPT models, ChatGPT and Codex. Provider, application and model describe different layers.
Sources : OpenAI · ChatGPT · Checked
Models
Claude model families with different capability, speed and cost tradeoffs. The catalog also includes Fable; check versions before comparing.
Sources : Anthropic · modèles / models · Checked
Agents and automation
Organizing a workflow’s steps, tools and agents: who acts, in which order, using which data and checkpoints.
Sources : OpenAI · Tools · Checked
Apps and assistants
A search tool that synthesizes information and provides source links. Citations make answers checkable; they do not guarantee accuracy.
Sources : Perplexity · documentation · Checked
Agents and automation
An extension bundling additional capabilities such as tools, connections or instructions. Contents and permissions depend on the host application.
Sources : OpenAI · Plugins · Checked
Apps and assistants
Google DeepMind’s research project exploring an assistant that understands voice, video and its surroundings. Some capabilities feed into Gemini Live.
Sources : Google DeepMind · Project Astra · Checked
Foundations
The instruction you give the AI. A good prompt — clear, with context and goal — changes everything about the result.
Quality and verification
Misleading instructions in content an agent reads, intended to redirect its task. A page or document is data, not authorization.
Sources : OpenAI · Agent safety · Checked
Images, voice and design
A version used to test an idea or journey before full implementation. A convincing prototype is not necessarily a production-ready product.
Sources : Anthropic · Claude Design · Checked
Development
A proposal of changes for review before integration, collecting diffs, discussion and available checks for a change.
Sources : GitHub · Copilot · Checked
Data and search
Retrieve information from documents, then provide it to a model to build an answer. Useful for internal knowledge without retraining.
Sources : OpenAI · Retrieval · Checked
Models
Additional model work on a complex task. Higher effort can increase time and cost without ensuring a correct answer.
Sources : OpenAI · Reasoning · Checked
Development
Files tracked with version history. A Git repository can be local or hosted on a platform such as GitHub.
Sources : Git · glossary · Checked
Data and search
A standard format for automatically pulling new articles from a site. The basic building block of any monitoring setup.
Data and search
The art of ranking well in search engines (Google…).
Agents and automation
Reusable instructions, sometimes bundled with files and scripts, that teach an agent how to perform a particular task.
Sources : Agent Skills · Checked
Models
GPT variants: Sol balances capability, speed and cost; Luna targets focused, fast tasks. Versions and access change over time.
Sources : OpenAI · GPT · Checked
Images, voice and design
Turning recorded speech into text. Names, noise and multiple speakers can introduce errors requiring correction.
Sources : OpenAI · Transcription · Checked
Data and search
A response following a data schema rather than free text. Useful for software; valid formatting does not guarantee correct values.
Sources : OpenAI · Structured outputs · Checked
Agents and automation
An agent delegated a subtask by another agent. Its scope must be defined and its results combined with the main work.
Sources : Cursor · documentation · Checked
Agents and automation
Instructions defining the assistant’s role and behavior. They complement user requests within the product’s instruction hierarchy.
Sources : OpenAI · Prompt engineering · Checked
Development
An interface for executing commands on a computer. Before running an AI-proposed command, understand which files or services it affects.
Images, voice and design
Turning text into speech. Podcast quality also depends on writing, pacing, pronunciation and listening checks.
Sources : OpenAI · Text to speech · Checked
Foundations
The basic unit an LLM reads and produces: a chunk of a word. The length of exchanges and their cost are measured in tokens.
Agents and automation
The model requests a function such as search, calculation or file reading. Host software executes an authorized action and returns its result.
Sources : OpenAI · Tools · Checked
Foundations
The phase when model parameters are adjusted using data. Distinct from everyday use to produce responses.
Sources : Google · Machine Learning Glossary · Checked
Data and search
Storage and search for numerical content representations. A common component of semantic search and RAG systems.
Sources : OpenAI · Retrieval · Checked
Development
Programming by describing your intent in plain language and letting AI generate the code. Term popularized by Andrej Karpathy.
Development
An additional working directory linked to the same Git repository, useful for working on branches without mixing in-progress file changes.
Sources : Git · glossary · Checked
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