CONTENT PIPELINE
A calendar tells you when a piece is due. A pipeline tells you why it has not moved. Storyflow puts every piece in flight on one infinite canvas as a card that carries its own brief, draft, and assets, so a stall is visible the day it starts rather than the week it blows the date. Paid-only during early access, plans from $9.99 a month, and a Free plan launches before the end of 2026.
Plans from $9.99/mo
Free plan coming late 2026
Works in your browser

Used by creative professionals at:
Artlist
Pixar
Nike
Red Bull
The North Face
Porsche
Pick a board to see what you can build, then let AI fill it in. Every template is a real, editable starting point on the same infinite canvas.

Plan a video from hook to outline to shot list, with references and thumbnail ideas sitting right beside it.
A content pipeline is the set of stages a piece of content passes through between the moment somebody has the idea and the moment it goes live, plus the view that shows you where every piece currently sits. It is a throughput system, not a schedule. Its job is to answer three questions at a glance: what is actually in flight right now, which stage is holding work up, and how long a typical piece takes to get from one end to the other. If your team has published nothing for a fortnight while everyone has been busy, the pipeline is where the explanation lives.
The reason pipelines matter is that content work is invisible until you draw it. A draft sitting in an editor's inbox looks exactly like a draft that is being edited, and both look exactly like a draft the writer abandoned. So teams end up managing content by chasing individuals, which is slow, awkward, and usually blames the wrong person. Once every piece is a card in a named stage, the pile-up becomes a physical fact you can point at. In almost every content team we have watched, that pile-up is not in creation. It is in review. Writers produce faster than reviewers approve, and the queue in front of the reviewer is the real constraint on how much the team ships.
The other honest observation about pipelines is that most content teams have far more in flight than they can finish, and are afraid to kill anything. Starting a piece is cheap and feels like progress. Finishing one is expensive. So the board fills with half-drafted ideas that nobody wants to be the person to delete, and every piece moves slightly slower because attention is spread across thirty things instead of eight. This is what work-in-progress limits are for. A cap on how many pieces may sit in a stage at once forces the team to finish before it starts, and it makes the uncomfortable conversation about killing a piece happen deliberately rather than by neglect. It also draws a sharp line between blocked and abandoned, which are treated identically on most boards and are completely different problems.
A working content pipeline runs on a named set of stages, usually idea (a raw concept nobody has committed to yet), brief (the angle, audience, and success measure agreed), draft (a writer or producer is actively making it), edit (structural and line changes with the author still involved), design (visuals, thumbnails, diagrams, or the cut), review and approval (legal, a subject expert, or a client signing off, the stage where most pipelines actually jam), scheduled (finished, slotted, waiting on a date), and published (live, and now feeding what you commission next). Storyflow holds all of them side by side on one canvas so you can see the shape of the flow rather than a filtered list of one stage at a time.
HOW IT WORKS
No database to configure and no automation rules to write. Name your stages and start moving cards.
01
Sign up in seconds, from $9.99 a month. No download. Your infinite pipeline canvas opens straight in the browser.
02
Describe your team and your formats and the AI lays out a pipeline with stages that match how you actually work. Most teams need six or seven, not fifteen. Rename them, merge the ones that always happen together, and delete the ones that only exist to look thorough.
03
Every piece currently alive becomes a card, including the ones you would rather not admit to. Attach the brief, the draft, and the assets to the card itself so opening it is the same as opening the work.
04
Drag pieces across stages as work lands. Within two weeks the constraint announces itself: the stage where cards arrive faster than they leave. Cap that stage, clear the queue, and the whole pipeline speeds up.
Not a filtered list showing you one stage at a time. The whole flow, with the work attached to the cards.
The whole flow on screen at once
Stages laid out across an infinite canvas, with every card in flight visible together. A bottleneck is a shape: three cards in draft and eleven in review is not a report you have to run, it is something you notice in a second from across the room.
See the free kanban board →
The work lives on the card
The brief, the draft, the thumbnail, the reference material, and the feedback all sit on the card rather than behind a link in a database row. Review queues grow partly because opening the work is annoying. Take that friction away and pieces move.
See the content planning tool →
Limits that force finishing
Mark a maximum number of cards per stage on the board itself. When the cap is full, nothing new starts until something moves. This is the single change that most reliably turns a team that starts everything into a team that finishes things.
Generate a board with AI →
Blocked, stale, or quietly dead
A piece waiting on a legal answer, a piece nobody has touched in a month, and a piece the team has silently given up on all look the same in a task list. Mark them differently on the board and the weekly triage takes ten minutes instead of an hour.
Plan the slate on an editorial calendar →Open a canvas, name your stages, and put everything in flight on it. Storyflow is paid-only during early access, with plans from $9.99 a month, and a Free plan launches before the end of 2026.
Unlimited pipeline boards on an infinite canvas
Basic AI usage to lay out stages and sort work in progress
3 starter frameworks built in
Share view-only links with reviewers, clients, and stakeholders
BUILT FOR THROUGHPUT
Not how many pieces you planned. How many days a piece takes to get from brief to live, and which stage ate most of them.
Stages, queues, and the constraint
Every stage visible at the same time: A pipeline is only readable when the stages sit beside each other. Filtering to one stage tells you what is in it and hides the thing you needed to know, which is how it compares to the stage before it. A queue is a relationship between two stages, so both have to be on screen.
The bottleneck is almost always review: Creation scales with the number of writers. Approval usually scales with one editor, one legal contact, or one client. So work arrives faster than it leaves, and the queue in front of the reviewer becomes the ceiling on everything the team ships, no matter how much faster the writers get.
Cycle time per piece, not output per month: Note the date a card entered the pipeline and the date it went live. The gap is your cycle time, and it is the honest measure of how the system performs. Output per month hides the fact that you published four things you started in March and nothing you started in June.
Aging shows up as position, not a report: Keep the oldest cards at the top of each stage. A piece that has been sitting in edit for five weeks rises to somewhere you cannot avoid looking at it, which is the whole point. Nothing has to run for that to be true.

Work in progress, and the courage to kill things
Set a hard cap per stage: Write the limit on the stage itself: five in draft, three in review. When it is full, the next thing that happens is somebody finishing, not somebody starting. Teams resist this for about a week and then notice they are shipping more with fewer things open.
Blocked and abandoned are different problems: Blocked means a named person owes you a named thing, and it has an owner and a date. Abandoned means nobody intends to finish it and nobody has said so. Treating both as in progress is how a board ends up with forty cards and eight real ones.
Kill deliberately, and keep the corpse: Move dead pieces to a graveyard region on the same canvas instead of deleting them. The cost of killing drops when the idea is still there to resurrect, and a visible graveyard is a much easier conversation than a quiet backlog nobody opens.
One owner per card, always: A piece with two owners has none, and a piece with an owner who does not know they own it is the most common cause of a two-week stall. Put a name on every card in flight, and treat a nameless card as a triage item rather than a task.

The draft, the brief, and the assets on the card
Drafts written beside the board: The built-in document editor sits on the same canvas, so a piece in draft is genuinely in draft on the board rather than a row referring to a file somewhere else. When the record and the work drift apart, the record stops being trusted and the board dies.
Briefs attached to the piece they govern: Angle, audience, sources, word count, and the outcome it has to hit, on the card. An editor reviewing a draft can see what was commissioned without asking, which removes an entire class of review round trips.
Visual assets in place: Thumbnails, diagrams, screenshots, images, and frames pulled from YouTube or Vimeo, laid out beside the copy. Design is a real pipeline stage for most content teams and it is the one that gets managed by direct message the most.
Feedback where the work is: Comments land on the card next to the draft rather than in a thread that outlives the context it was about. Share a view-only link and a client or a subject expert can look at the actual piece without an account or a login wall.

AI that has read the whole board
Lay out the stages from a description: Describe your team, your formats, and how approval works, and the AI proposes a pipeline you can edit rather than a blank board you have to invent. Most teams start with too many stages, and editing a draft is the fastest way to find that out.
Sort the mess you already have: Paste in everything currently in progress and let the AI place each item in a stage and flag the ones that read as stale. Getting the true state of play onto a board is usually the hardest hour of adopting a pipeline.
Interrogate the shape: Ask which stage is holding the most work, which pieces have not moved, where the same person owns six cards at once, or which of the things in flight are worth killing. Those answers only mean anything because the model can see the entire canvas.
Feed the plan from the pipeline: What actually clears the pipeline tells you what to commission next. Keep the throughput board beside the slate so the plan is built on the rate you really ship at rather than the rate you hoped for.
Every template opens as a real, editable board on the infinite canvas. Pick the closest fit and make it your own.
Plan a video from hook to outline to shot list, with references and thumbnail ideas sitting right beside it.

HOW WE COMPARE
All three run real content pipelines, and each one genuinely beats us at something. Here is the honest split so you can pick for the part of the job that is failing you.
Recommended
Infinite canvas showing every stage and every piece at once
Workflow automation and automatic stage transitions
The draft, brief, and assets open on the card itself
Cycle time and throughput reporting per stage
CMS integration that publishes the finished piece
AI that reads the whole board and reshapes the pipeline
Infinite canvas showing every stage and every piece at once
Workflow automation and automatic stage transitions
The draft, brief, and assets open on the card itself
Cycle time and throughput reporting per stage
CMS integration that publishes the finished piece
AI that reads the whole board and reshapes the pipeline
Infinite canvas showing every stage and every piece at once
Workflow automation and automatic stage transitions
The draft, brief, and assets open on the card itself
Cycle time and throughput reporting per stage
CMS integration that publishes the finished piece
AI that reads the whole board and reshapes the pipeline
Infinite canvas showing every stage and every piece at once
Workflow automation and automatic stage transitions
The draft, brief, and assets open on the card itself
Cycle time and throughput reporting per stage
CMS integration that publishes the finished piece
AI that reads the whole board and reshapes the pipeline
Join early creators getting structured workspaces and AI that remembers their projects
“Storyflow has sped up my workflow by at least 3x, which means more flow state and more projects I can actually ship. It truly changed the way me and my team create.”

Reilin Joey
Director & YouTuber
“One prompt gets me a structured board. But the tactics are my favorite. I run my YouTube scripts through them and my intros and retention got better. It's amazing.”

Justkay
YouTuber & Freelance Filmmaker
“I used to juggle five apps to plan a project. Now I describe what I am making and get boards, lists, and a schedule. All in one place.”

George
@fernwehchronicles
What the stages are, where teams jam, and which tool fits the part of the flow that is actually broken.
A content pipeline is the sequence of stages a piece of content passes through from first idea to published, together with the view that shows where every live piece currently sits. It exists to answer throughput questions rather than scheduling ones: what is in flight, which stage is holding work up, and how long a piece takes end to end. A pipeline is how you explain a fortnight with no publishing while everybody was busy. The stages are usually idea, brief, draft, edit, design, review, scheduled, and published.
Name your stages, drop in the work, and find the constraint within a fortnight. Plans from $9.99/month, no download, and a Free plan is coming before the end of 2026.