# ChatGPT General-purpose AI chat assistant, the default way most people use AI ## About ChatGPT ChatGPT is the assistant almost everyone starts with. You open a chat box, ask for something, and get an answer. Over time OpenAI has layered real capability on top of that box: web browsing, file uploads, image generation, code execution, custom GPTs, memory across chats, connectors to apps like Gmail and Google Drive, and an agent mode that can carry out multi-step tasks in a sandboxed browser. It is genuinely excellent at what it is: the fastest way to get an answer, draft a piece of text, analyse a file you paste in, or think through a problem out loud. For a huge share of daily work, that is exactly the right tool and nothing here argues otherwise. The difference is the operating model. ChatGPT waits for you. Every piece of work starts with you opening the app, describing the context, and steering each step. It is a tool you operate, and its output lands back in the chat window for you to carry somewhere useful. Sistava is built the other way around. You hire an AI employee, give it a role, connect it to your accounts, and it works on its own schedule, remembers your business between sessions, takes actions inside your real tools, and reports back. When one is not enough you add specialists under a leader who delegates. The honest question is not which model is smarter, it is whether you want an assistant you drive or a coworker who owns the outcome. ## Platform details - Pricing: Free tier. Plus $20/month. Pro $200/month. Business $25-30/user/month. Enterprise on request. - Founded: November 2022, by OpenAI - Funding: OpenAI, one of the most heavily funded private companies in the world, backed by Microsoft. - Last reviewed: 2026-08-05 ## Official website - [Visit ChatGPT](https://chatgpt.com) ## What ChatGPT Is Genuinely Great At Start with the honest part. ChatGPT is the best general-purpose thinking tool most people have ever had access to. Explaining something you do not understand, drafting an awkward email, pulling structure out of a messy document, working through a decision, writing and debugging code, summarising a long PDF: it does all of this quickly and well, and the free tier alone is more capable than most paid software. It has also grown well beyond a chat box. Web browsing keeps answers current. File uploads let it analyse your spreadsheets and documents. Custom GPTs let you save a repeatable setup. Memory carries preferences between conversations. Connectors reach into Gmail, Google Drive, and other services. Agent mode can work through multi-step tasks in its own sandboxed browser. If your bottleneck is thinking, writing, or understanding, ChatGPT solves it and you may not need anything else. The comparison below is not about intelligence. It is about who does the work when you are not sitting there. ## The Real Difference: A Tool You Operate vs a Coworker Who Owns It Everything in ChatGPT starts with you. You decide there is a task, you open the app, you supply the context, you steer each step, and you take the output somewhere else to actually use it. That loop is fast and it works, but you are in every iteration of it. Your throughput is capped by your own attention. A Sistava employee is hired into a role instead. It knows what it is responsible for, it has standing access to the accounts it needs, it wakes on its own schedule, and it reports back on what it did. You are in the loop for approvals and direction, not for every keystroke. A practical example: "follow up with leads who went quiet". In ChatGPT you export the list, paste it in, ask for drafts, copy each one into your email client, send them, and set yourself a reminder to do it again next week. A Sistava sales employee reads the CRM, spots the quiet ones, drafts the follow-ups in your voice, asks for approval on anything sensitive, sends them, logs the activity back to the CRM, and does it again next week without being asked. ## Memory: Preferences vs Business Knowledge ChatGPT has memory and it is useful. It remembers how you like your writing, facts about you, ongoing projects you have mentioned. That memory belongs to your account and lives inside the chat product. Sistava memory is business memory. Every conversation, task, document, and connected tool feeds a persistent layer: a knowledge graph mapping people, accounts, and projects; episodic memory of specific interactions; a trainable knowledge base you upload documents into. It is shared across your employees, so the sales employee knows what the support employee learned from a customer this morning. The difference compounds. A ChatGPT thread is at its most useful in the moment. A Sistava employee is at its most useful in month six, because it now knows your clients, your pricing, your tone, and the last thing you told it never to do again. ## Taking Action: Connectors vs Native Integrations With Approval Gates OpenAI has closed a lot of ground here. Connectors let ChatGPT read from Gmail, Google Drive, and other services, and agent mode can operate a browser to complete multi-step tasks. It is real capability, and for research-shaped work it is often enough. The gap is doing things in your accounts, repeatedly, safely. Sistava connects through one-click OAuth to thousands of apps (Gmail, Outlook, Slack, Notion, Salesforce, HubSpot, Google Calendar, Jira, and the rest) and treats them as tools the employee uses as part of its job, not a browser it borrows for one session. Because the employee is acting on real accounts, there are guardrails around it. Anything that sends, spends, deletes, or publishes can be put behind an approval gate: the employee prepares the action, you approve it in the app or straight from Slack, and only then does it run. Every action is logged against the employee and the task, with cost attached. ## One Assistant vs a Team That Grows ChatGPT gives every person one assistant. That is the right shape for personal productivity, and buying more seats gives more people their own assistant, not a team that works together. Sistava is a workforce platform. You hire specialists (sales, marketing, support, operations), put them under a leader who breaks work down and delegates, run sprints so work has a cadence, and let them share one memory layer so context does not have to be re-explained to each one. Work handed to the team gets distributed the way it would in a real company. This is the point where the two products stop overlapping. If the job is one person thinking faster, ChatGPT is excellent and cheap. If the job is a business that needs more hands than it can afford to hire, one assistant in a chat box is the wrong shape no matter how good the model behind it is. ## When to Choose ChatGPT vs Sistava Choose ChatGPT if your main need is thinking, writing, research, coding, or understanding documents, you are happy to be the one driving each task, you want the lowest possible price for a very capable general assistant, and you do not need work happening while you are away from the keyboard. Choose Sistava if you want work that continues without you, memory of your business that compounds instead of resetting, actions taken directly in your real tools with approval gates on the risky ones, cost visibility per employee and per task, and the ability to grow from one AI employee to a team with delegation and shared context. Plenty of people use both, and that is a sensible answer. ChatGPT stays open for thinking and drafting. Sistava runs the recurring work that would otherwise be a hire: the follow-ups, the inbox, the reporting, the support queue, the content calendar. They are not competing for the same slot in your day. ## Comparison - [Compare ChatGPT with Sistava](/en/compare/ai-personal-assistant/chatgpt) — See the two platforms side by side when you are ready to evaluate them.