task-ops
Somebody asks for a timeline by Friday. The work is roughly understood, the dates are not, and building the chart by hand means an afternoon of dragging bars in a spreadsheet that nobody will open again. So the obvious move is to describe the project to a model and let it produce the chart. That works, and it works faster than most people expect. What it does not do is produce a schedule you can commit to, and the gap between those two things is where the afternoon goes anyway.
Search for this and you get results that look interchangeable. They are not. There are three distinct shapes, and they fail differently.
Standalone generators. You type a description, it returns a chart, and you export it. GanttChart.AI is the clearest example: the free tier gives two charts, saves to Google Sheets, and exports to Excel, CSV or JSON. Pro is $5 a month for 20 credits that roll over if unused, Business is $15 a month for 100 credits. The output is a file. Once it leaves the generator, it is yours to maintain by hand.
AI inside a scheduling tool. The chart is generated into a product that already holds tasks, owners and dependencies, so the generated plan is editable as a plan rather than as a picture. GanttPRO lists its AI Gantt chart maker as included in all plans, which start at $7 per user per month billed annually for Core, $10 for Advanced, $17 for Business. TeamGantt lists AI project creation in its core feature set, with Basic starting at $24 a month for two projects and a free Personal plan limited to one user, one project and 40 tasks.
A general assistant writing into a board you already use. No Gantt specific product at all. The assistant drafts the work breakdown and writes it as tasks with dates, through a connection to the tool where the work actually lives. This is the newest of the three and the one most people have not tried, because it does not appear in a search for Gantt software.
The choice between them is not really about the quality of the generation. All three produce a similar first draft. It is about what happens in week three.
The hard part of a Gantt chart was never the drawing. It was the work breakdown: listing every task, in a sensible order, without forgetting the boring ones.
This is exactly what a language model is good at. Describe a website rebuild, a conference, a product launch, or a building fit out, and it will return twenty to forty tasks grouped into phases, with the obvious dependencies in place and milestones marked. It will remember the tasks people forget, such as procurement lead time, review cycles, and the gap between "code complete" and "live". For a project type that has been documented thousands of times, the draft is close to what an experienced planner would write, and it arrives in seconds instead of an afternoon.
It is also good at restructuring. Paste a flat list of fifty tasks from a meeting and ask for phases, and the grouping it returns is usually defensible. Ask it to split a task that is too coarse and it will. That editing loop, where the structure is argued with rather than typed, is the part that genuinely saves time.
A model has no record of how long this team takes to do anything. The numbers it produces are drawn from how long such tasks generally take in text it has read, which is a different question. It will confidently assign three days to a task your team has never finished in under two weeks, and two weeks to something you do in an afternoon.
This matters more than it sounds, because durations propagate. Every downstream date in the chart is built on them. A plan that is wrong at the task level is not slightly wrong at the project level, it is wrong by the sum of the errors.
AI will link tasks in the order that logic suggests: design before build, build before test. It cannot know that your one reviewer is away for two weeks in October, that the client signs off in batches, or that two tasks which look independent both need the same person. The dependencies that actually break schedules are the ones that come from your organization, not from the nature of the work, and those are exactly the ones a model has no access to.
Generated plans tend to assume continuous working days. Holidays, part time schedules, a team spread across countries with different public holidays, and the fact that nobody gets a full uninterrupted day of project work are all invisible to the generation step. Tools that hold a real calendar can correct this after the fact. A generated spreadsheet cannot.
This is the one that decides whether the exercise was worth anything. A Gantt chart is a communication device for the duration of the project, not a document produced at the start. Its value shows up in week four, when something has slipped and people need to see what that costs.
A generated file does not do that. Nothing recalculates. If the design task runs four days long, every bar after it stays where the generator put it until somebody drags them, and the chart quietly becomes a picture of what was planned rather than a picture of what is happening. That is the state most Gantt charts die in, and AI generation makes reaching it faster rather than slower.
| Route | Entry price | Generation included | What happens to the chart afterwards |
|---|---|---|---|
| GanttChart.AI | Free for 2 charts, Pro $5/month for 20 credits | Yes, it is the product | Exported to Sheets, Excel, CSV or JSON, maintained by hand |
| GanttPRO | $7 per user/month billed annually (Core) | Yes, listed in all plans | Lives in a scheduler with auto scheduling, baselines, critical path |
| TeamGantt | Free Personal plan: 1 user, 1 project, 40 tasks. Basic from $24/month | AI project creation listed in core features | Lives in the tool, per project pricing rather than per seat |
| Microsoft Planner | Timeline (Gantt) view needs Planner Plan 1, $10 per user/month paid yearly | Plan generation needs the Microsoft 365 Copilot add on, $30 per user/month paid yearly | Lives in Planner, with dependencies and milestones |
| Assistant plus your existing board | Whatever the assistant already costs | Yes, through the assistant | Lives wherever your team already works, if the board supports dates |
Two things stand out from that table. The first is that the generation itself has almost no price. It is bundled into entry tiers or given away. Nobody is charging meaningfully for the prompt to chart step, because it is not the expensive part.
The second is the Microsoft line. Getting a Gantt view at all requires Planner Plan 1 at $10 per user per month paid yearly, and getting AI to build the plan requires the Microsoft 365 Copilot add on at $30 per user per month paid yearly on top. For a team of five that is $2,400 a year before anyone has scheduled anything. That is a reasonable price for an organization already committed to that stack and a strange one for a team of five who wanted a timeline.
Across all three shapes, the quality of the first draft tracks the quality of the description far more than it tracks which product generated it. A one line prompt produces a generic phase structure that could belong to any project. A description with constraints in it produces something usable.
Four things are worth including every time, because their absence is what makes generated plans feel hollow.
The end date, and whether it is fixed. A model told to plan a launch will pick a duration. A model told the launch is on 14 November and cannot move will work backwards and show you where the plan does not fit, which is the more useful answer.
Who is actually available. Naming the roles and how many of each changes the shape of the output. Two designers and one developer produces a different sequence than the reverse, and without that the generated plan silently assumes unlimited parallel capacity.
The things that are already decided. Vendors chosen, a platform already picked, a review that happens monthly on a fixed date. These are constraints the model will otherwise invent alternatives for, and removing invented options from a draft takes longer than stating them up front.
What went wrong last time. This is the one people skip and the one that improves the output most. A sentence such as "the last two of these slipped because content arrived late" causes the draft to put content production earlier and give it a real duration rather than treating it as a small task near the end.
None of this is specific to Gantt charts. It is the same discipline that makes any brief useful. But it is worth saying plainly, because a great deal of disappointment with AI generated plans comes from comparing a two sentence prompt against a schedule that a person would have spent a day thinking about.
Pick a project your team actually finished recently, one where the real dates are known. Then:
Step four is the whole evaluation. A tool that reschedules is a planning tool with AI attached. A tool that does not is a drawing tool, and drawing tools are worth roughly what the free tiers charge for them.
Sometimes the request for a timeline is really a request for visibility, and a Gantt chart is a heavy way to provide it. If the work does not have hard dependencies, if tasks are roughly the same size, or if the team is under ten people working on one thing at a time, a board with due dates and a calendar view answers the same question and stays current without anyone maintaining it.
The useful test is whether anybody would change a decision based on the critical path. If the answer is no, the chart is a report, and there are cheaper reports. Tools where the Gantt view sits alongside a kanban board and a calendar over the same set of cards sidestep the choice entirely, since the schedule is a view of the work rather than a second copy of it that has to be kept in step.
The other case is where a team already pays for an AI assistant. Connecting it to the board directly means the drafting happens where the tasks live, and there is no export step at all. Several task tools now support that connection, which quietly removes the reason to buy a separate generator.
Run the hour long test above on a finished project before paying for anything, because it will tell you whether generation or rescheduling is the part you actually need. If the answer is rescheduling, choose a tool where the Gantt view sits on the same cards as the board rather than in a separate file, such as Pinateca.
It can produce an accurate task list and a plausible structure. The durations are guesses, because no model has a record of how fast your team works, and every date in the chart is built on those guesses. Treat the output as a first draft of the work breakdown and replace the numbers with figures from your own past projects before anyone signs off on it.
GanttChart.AI has a free tier covering two charts with export to Google Sheets, Excel, CSV or JSON, and TeamGantt has a free Personal plan limited to one user, one project and 40 tasks. Both are enough to judge whether the generated structure is useful. Neither is enough to run a real project across a team.
Planner has a Timeline view that is described as a Gantt chart format, but it requires a premium licence: Planner Plan 1 is listed at $10 per user per month paid yearly. The AI that generates and populates a plan comes from the Microsoft 365 Copilot add on, listed at $30 per user per month paid yearly, so the two capabilities are bought separately.
Because generation is a single moment and a project is not. Nothing in an exported file recalculates when a task slips, so the chart keeps showing the original plan until a person drags the bars. Tools that hold dependencies and reschedule automatically are the only ones where the chart stays true without maintenance.
For the drafting step there is little difference, since both produce a task list from a description. The difference is where the result lands. A general assistant connected to the board your team already uses writes the tasks into that board, with no export and no second place to keep up to date, which removes the main reason the chart goes stale.