PokeNegotiated (~$10–$30/mo typical)
A personal AI agent that lives in your texts and acts before you ask
Foundations · Updated July 1, 2026
An AI assistant helps you do tasks: it answers questions, drafts things, and waits for your next instruction. An AI agent pursues a goal on its own, planning and taking actions across many steps with little supervision. The difference is initiative — an assistant reacts to you, an agent acts for you.
| AI assistant | AI agent | |
|---|---|---|
| Core job | Help a human do a task faster | Complete the task end to end on its own |
| Initiative | Reactive — waits for your command | Proactive — plans and acts toward a goal |
| Human role | You stay in the loop and drive each step | You set the goal; it runs the steps for you |
| Time horizon | One request, one response | Many chained steps over minutes or hours |
| Tools & actions | Answers, drafts, looks things up, sets reminders | Calls APIs, browses, executes code, updates real systems |
| Example | Siri setting a timer; Copilot drafting an email you send | ChatGPT agent researching and booking the whole trip |
An AI assistant is defined by how it helps: you ask, it responds, and you stay in control of what happens next. Siri sets a timer, Microsoft Copilot drafts the email, ChatGPT answers the question. Each is a single request-and-reply that makes you faster, but you decide every next move. The assistant augments you; it does not replace your judgement or your hands on the controls.
An AI agent is defined by initiative. You give it a goal — "plan and book a two-day trip to Lisbon under $600" — and it runs a perceive-decide-act loop on its own: search flights, compare hotels, hold options, fill the booking form, report back. It strings many steps together and takes real actions without asking you to approve each one. Assistants react to you; agents act for you.
The two categories are converging fast, which is why the marketing is confusing. Assistants are gaining agentic features, and agents wrap themselves in an assistant-style chat box. Poke, a proactive personal assistant that lives in iMessage and WhatsApp, will message you first and chase tasks on its own — assistant framing, agentic behaviour. The old "it only responds" definition of an assistant no longer holds cleanly.
The clearest example is one product being both. Standard ChatGPT is an assistant: you ask, it answers, you act. Switch to ChatGPT agent mode and the same model browses, clicks, and completes a multi-step task on your behalf — now it is an agent. Nothing about the underlying model changed; what changed is whether it can take initiative and act. Judge the behaviour, not the label on the box.
A useful third word is "copilot," which sits deliberately in the middle. A copilot works alongside you inside your workflow — GitHub Copilot suggests code as you type, Microsoft Copilot drafts inside Office — augmenting each action while you keep your hands on the wheel. That is assistant behaviour with tighter integration, not full autonomy. The copilot proposes; you dispose.
The cleaner mental model is augmentation versus automation. An assistant (or copilot) augments a human who is present and steering. An agent automates a goal so the human can step away and check the result. When a tool starts taking consequential actions and chaining several of them without you approving each step, it has crossed from assistant to agent — whatever the brand name says.
Choose an assistant when you want to stay in control and move faster: drafting, summarising, answering questions, quick lookups, setting reminders. It is cheaper, safer, and the worst case is an unhelpful reply you simply ignore. If you would want to review every step anyway, an assistant is the right fit and full autonomy only adds risk.
Choose an agent when you want an outcome without doing the steps yourself: resolve the support ticket, run the research and write the report, book the trip, ship the code change. Agents deliver far more leverage but take real actions, so they need guardrails — scoped permissions, logging, and human checkpoints for anything consequential. Match the autonomy to the stakes, and keep a human approval step wherever a wrong action would cost you.
Real, verified agents from our index that illustrate the concept above.
A personal AI agent that lives in your texts and acts before you ask
Agent mode inside ChatGPT: browses, clicks, and completes tasks
General AI agent that plans and executes whole tasks in the cloud
A Super Agent that researches, builds decks, and makes real phone calls.
An AI assistant reacts to your requests and helps you complete a task, one prompt at a time, with you steering. An AI agent takes initiative: you give it a goal and it plans, calls tools, and chains many steps to finish the job on its own. Initiative and autonomy are the dividing line.
Both, depending on mode. Standard ChatGPT is an assistant — you ask, it answers, you act. ChatGPT agent mode browses the web, clicks, and completes multi-step tasks on your behalf, which makes it an agent. The same model is an assistant or an agent based on whether it can take initiative and act.
Not really — Siri is a voice assistant. It takes some actions, like setting timers or playing music, but it mostly handles single commands rather than planning a multi-step goal and executing it autonomously. Newer assistant releases add more genuine agent behaviour, but classic Siri sits on the assistant side of the line.
Copilot is an assistant-style tool that works alongside you inside your apps, drafting and suggesting while you keep control. Microsoft also ships dedicated "agents" via Copilot Studio that run tasks autonomously. The Copilot you type with is an assistant; the agents it can launch are the autonomous side. The brand covers both.
Yes — that is how most agents evolve. Give an assistant tools it can call, the ability to chain steps, and permission to act without approving each one, and it starts behaving like an agent. The threshold is crossed when it takes consequential actions and strings several together toward a goal on its own.
Neither is strictly better; they fit different jobs. Assistants are cheaper, safer, and ideal when you want to stay in control and move faster. Agents deliver more leverage by finishing whole tasks, but they take real actions and need guardrails. Use an assistant to help you work, an agent to do the work.
Poke is marketed as a proactive personal assistant, but it behaves agentically. It lives in iMessage and WhatsApp, messages you first, and chases tasks on its own rather than only responding. That proactivity is exactly where the assistant and agent categories blur — the label says assistant, the behaviour leans agent.
If you want to review every step anyway — drafting, summarising, quick lookups — an assistant is the safer, cheaper fit. If you want an outcome without doing the steps yourself, like resolving a ticket or booking a trip, use an agent with guardrails. Match the autonomy to how much a wrong action would cost you.