DATA RETRIEVAL
AI can fetch and process information from your own sources, such as databases, shared folders, or internal documents. This makes the assistant more accurate and context-aware, since it can draw on the materials you already trust.
Question to reflect on: How could accessing external data help you make better decisions or improve AI’s accuracy?
WEB SEARCH
Sometimes the most relevant knowledge isn’t in your files but online. By searching the web, the AI can bring in current facts, wider perspectives, or missing details. This reduces hallucinations and grounds answers in real-world evidence. A rapidly evolving component of this is Deep Research.
Question to reflect on: What online information could help the AI provide better answers and reduce hallucinations?
CODE SANDBOX
AI can be given a safe environment to write and test small programs. This allows you to prototype functions, try out algorithms, or run “mini apps” without risk to your systems. It’s especially useful when experimenting with automation or data manipulation.
Question to reflect on: What possibilities could running mini apps from within the assistant open up for your projects or workflows?
APIs
Through APIs, AI can connect with other systems and services. This might mean pulling in live weather data, updating a calendar, or connecting to financial platforms. APIs extend the assistant’s reach beyond its own model and into your real tools.
Question to reflect on: How could integrating external APIs expand the AI’s functionality and access to real-time data?
AI AGENT
Instead of one-off replies, AI can act more autonomously. An AI agent can carry out multi-step tasks, simulate scenarios, or monitor processes over time. This shifts the assistant from reactive to proactive, helping manage complex or extended work.
Question to reflect on: How could deploying AI agents automate tasks and enhance the AI’s efficiency in handling complex processes?
MEMORY
AI doesn’t have to start fresh each time. With memory, it can retain facts across sessions — such as your goals, style, or ongoing projects — and build on them later. This makes support more consistent and tailored to your needs.
Question to reflect on: How could retaining information across sessions improve the AI’s ability to provide personalized and consistent support?
IMAGE GENERATION
AI can produce original visuals from text prompts or templates. That might be marketing graphics, training diagrams, or design mock-ups. This is useful whenever you need visual assets quickly without hiring a designer for every draft.
Question to reflect on: How could generating images enhance the AI’s ability to create visual content for presentations or marketing?
RECURRENT TASKS
Some tasks repeat daily, weekly, or monthly. AI can schedule and perform these automatically, like sending summaries, checking updates, or refreshing a dataset. This saves time and helps you maintain consistency without manual effort.
Question to reflect on: How could the AI handle recurring tasks or processes to save you time and effort?
SPEECH / VOICE
AI can interact through speech: converting text to natural-sounding audio or transcribing spoken input. This makes it more accessible and hands-free, useful for meetings, training, or situations where typing isn’t practical.
MULTIMODAL CAPABILITIES
Beyond text, AI can combine modes — analysing images, interpreting diagrams, or cross-referencing audio with documents. This opens up richer interactions, where different input types are understood together.
SECURITY & GOVERNANCE
Some capabilities involve how AI operates safely: managing permissions, anonymising sensitive data, or tracking usage. These underpin trust and make AI viable in professional or regulated contexts.
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