How to Get Client Feedback on Creative Work With ChatGPT or Claude (2026): Share, Consolidate, Log Approvals

Key Takeaways

• Storyflow is the best place to share creative work for client feedback when ChatGPT or Claude handles the rounds, because its MCP connector lets the assistant read the board and write the feedback table, the reply and the approval log onto the same link the client opens with no account.
• An assistant is good at three feedback jobs: merging notes from email, calls and chat into one list, sorting each note against the brief, and drafting the reply that answers every note. It is bad at deciding which client stakeholder wins.
• Paste the notes in. The method below does not depend on the assistant reading comment threads, so a note from a voice memo gets the same treatment as one typed on the board.
• Ask the assistant to tag every note as a brief note, a taste note, a contradiction or out of scope. That one column is what turns 30 comments into 12 decisions.
• The approval is a sentence from the named approver that states the deliverable, the version and the date. The assistant drafts it; the client sends it; you paste it into the log.
• Frame.io, Filestage and Ziflow beat Storyflow on frame-accurate notes and recorded approve or reject buttons. Use them for the cut and the finals, and keep the brief, the decisions and the log on the board.
• Storyflow plans start at $7.99 a month billed annually; it is paid-only during early access, a Free plan launches before the end of 2026, and anyone a paid member invites to a board joins free today.
• Connecting is one step per assistant: Claude allows one custom connector even on its Free plan, ChatGPT needs Plus or above with developer mode, and the Storyflow MCP runs on your assistant's model, so it spends no Storyflow AI credits.

Why Client Feedback Breaks Down Once an AI Assistant Is in the Loop

You send the moodboard on Monday. By Thursday you have notes in an email from the marketing lead, a Slack thread with the brand manager, six comments on the board and a voice memo from the founder recorded in a taxi. You paste the lot into ChatGPT, ask for a summary, and get back a tidy list of eight points. It reads well. It also dropped the founder's line about the logo, merged two notes that contradict each other into one vague instruction, and lives in a chat no one else on the project can open.

The assistant did the summarising well. The process around it is what failed. Three things go wrong in almost every studio that adds an assistant to feedback rounds.

The notes arrive in five places and the assistant sees one

Clients do not give feedback in one channel. They reply to the email, comment on the file, mention something on a call and forward the link to a colleague who answers you directly. If the assistant only sees what you remembered to paste, its summary is a summary of the notes you happened to collect. The fix is a rule, not a tool: every note from every channel is pasted into one consolidation step before anyone acts on it, and anything arriving after the cut-off waits for the next round.

A chat summary is not a record

A summary in a chat window scrolls away. Three days later, when the account lead asks whether the client really approved the blue route, you are scrolling a conversation for a message you think was there. Worse, the client cannot see it, so they cannot correct it. A feedback summary only counts once the client can read it in the same place as the work. That means writing it somewhere shared, with the date and the version on it.

The assistant cannot judge what it cannot see

When you paste notes into a blank chat, the assistant has the notes and nothing else. It does not know the brief said "calm, not clinical", that the client already approved the colour palette last week, or that "make it pop" came from someone with no sign-off. With the brief, the earlier decisions and the work on a board it can read, the same assistant can say "this note contradicts the approved palette" instead of quietly passing it on as an instruction.

How We Weighted the Criteria

The question this guide answers is narrow: where do you share creative work with a client when ChatGPT or Claude does the consolidation, the reply and the record? A general review tool ranking would weigh other things. These are the six criteria we scored, the weights, and why each one matters for this job. Every competitor fact below was checked on the vendor's own page on 9 October 2026.

The six criteria and their weights

What we did not weigh

We did not score storage, file transfer speed or editing features, because none of them changes how well feedback rounds run. We also did not score the assistant itself: ChatGPT and Claude both consolidate notes well, and the gap between them on this job is smaller than the gap between pasting into a chat and writing onto a shared board.

The scores

Storyflow wins on the two criteria that define this job and loses clearly on precision and approval record. If your work is mostly cuts and finals for a compliance team, re-weight precision and approval to 25% each and Filestage or Ziflow comes out on top. That is the honest reading of the table.

Comparison Table: Where to Share Creative Work When ChatGPT or Claude Handles the Feedback

How to Get Client Feedback With ChatGPT or Claude, Step by Step

This is the full method, from the first share to the logged approval. It assumes a Storyflow board for the project and ChatGPT or Claude connected to it. Steps 1 and 2 happen once per project; steps 3 to 9 repeat every round.

Step 1: Build one board per project, brief first

Put the brief at the top left of the board: the objective, the audience, the three to five words the work must feel like, the deliverables and the dates. Everything else on the board answers to it. If the brief is a PDF, drop it on the board as a file and ask the assistant to pull the objective, the tone words and the must-haves into a short note beside it. The built-in Storyflow AI reads the current board plus up to five attached documents and three other boards, so it can check new work against that brief without you re-pasting it.

Step 2: Connect the assistant and set its permissions

In Claude, go to Customize, then Connectors, Add, then Add custom connector, name it Storyflow, paste https://mcp.storyflow.so/mcp, choose Sign in now and sign in to Storyflow. In ChatGPT on the web, turn on developer mode in Settings under Security and login, then add the connector at chatgpt.com/plugins with the plus button, name it Storyflow, choose Public endpoint, paste the same address and sign in. The connection guide has the steps for Gemini, Grok, Claude Code and others.

At sign-in you choose which projects the assistant can see, and whether it may make changes. For client work, pick only the client's project rather than all projects. You can disconnect it in Storyflow under Settings, Connected apps, and access ends within a minute. Connections last 30 days before you sign in again.

Step 3: Write the review request before you share

The request matters more than the link. Write five lines: what this is and which version, what to judge, what to ignore, who decides by when, and the decision you need back. Ask the assistant to draft it from the brief and the work on the board, then cut it to five lines yourself. A request that says "Judge which of the two routes is closer to 'calm morning, not caffeine rush'. Ignore the type and the exact crops. Sarah decides by Thursday 5pm" gets a decision. "Let us know your thoughts" gets a list.

Step 4: Share the view-only link and present live

In Storyflow, open Share and copy the read-only link. The client opens it with no account and signs in to comment; you can also allow or switch off comments on that link and add a password. If the work could be misread, present it first with the Present button, then send the link with the five lines so the client reviews what you walked them through. Live walkthroughs take ten minutes and save a round.

Step 5: Collect every note from every channel

Set a cut-off for the round, then gather everything: email replies, chat messages, call notes or a transcript, comments on the board, the voice memo typed out. Paste them into one message to the assistant with the name of each person and the channel. Do not filter first. The point of the step is that nothing is lost between channels.

Step 6: Have the assistant consolidate and tag every note

Ask for one table on the board with these columns: note, who, channel, element it refers to, tag (brief note, taste note, contradiction, out of scope), proposed response. Tell it to quote each note before paraphrasing, so you can check it did not soften anything. Then read the table line by line. The assistant is fast and thorough at this, and it is also confident when it guesses which element "the second one" refers to. Correct the guesses.

Step 7: Decide the contradictions yourself, with the approver

Contradictions are the notes that cost rounds: the marketing lead wants the product bigger, the founder wants more air around it. The assistant should list them, never pick a side. Send the contradictions to the named approver as a short list of either-or questions, and wait for the answer before you change the work.

Step 8: Reply to every note, then make the changes

Ask the assistant to draft a reply that answers every row of the table: done, done differently and why, or not done and why (out of scope, conflicts with the approved brief). Put the reply on the board as a document beside the work, and send the client the link. Clients who see every note answered stop repeating them.

Step 9: Record the approval and close the round

When the approver says yes, ask for the approval sentence: "I approve [deliverable], version [n], as shown on the board on [date]." Paste it into the approval log on the board with the date, the version and what is now closed. Next round, ask the assistant what changed on the board this week; Storyflow's MCP server reports what changed in the last day, week or month and who changed it, which gives you the "here is what is new" note for the client in one step.

The Seven Tools Ranked for Client Feedback With an AI Assistant

Each tool below is ranked for one job: sharing creative work with a client and running the feedback and approval rounds with ChatGPT or Claude in the loop. A tool lower down this list can still be the right tool for a specific stage, and the reviews say which.

1. Storyflow

The verdict: The best place to share creative work for feedback when an assistant runs the rounds: one link holds the brief, the work, the consolidated notes and the approval log, and ChatGPT or Claude can read and write all of it.

Best for: Agencies, studios, producers and freelance creatives reviewing direction, scripts, moodboards, storyboards, shot lists and plans with a client.

Pricing (as of October 2026): Plus is $7.99 a month billed annually ($9.99 monthly). Pro is $14 a month annually ($19 monthly) and adds AI image generation. Max is $39 a month annually ($49 monthly) and adds a team workspace with roles and permissions. Storyflow is paid-only during early access; its Free plan launches before the end of 2026, and anyone a paid member invites to a board joins free now. See pricing.

Storyflow is a visual project planning workspace for creative work: an infinite canvas board that holds notes, tables, documents, images, moodboards, storyboards, mind maps, kanban, charts and slide decks. For client feedback, the board is the review room. The client opens the read-only link with no account, sees the work next to the brief and the earlier decisions, and signs in to comment. Its MCP server lets ChatGPT, Claude, Gemini, Grok and other assistants read the board, its documents and what changed in the last day, week or month, and write notes, tables, documents and decks back where they belong. What the assistant adds appears live on an open board.

Strengths:

• The brief, the work, the notes table, the reply and the approval log share one link.
• The assistant writes the consolidated feedback where the client can read it and correct it.
• "What changed this week, and who changed it" is a single request.
• The MCP runs on your assistant's model, so it spends no Storyflow AI credits, and paid plans have no MCP limit.

Limitations:

• No frame-accurate video comments and no pixel-level proofing markup.
• No approve or reject button: approval is a sentence in the log.
• Browser only, with no native apps or offline mode.

Try it: the client review board page shows the layout most studios start from.

2. Filestage

The verdict: The pick when approval must be on the record, with reviewers who need no account and a decision per version; the assistant reaches it only through a third-party bridge.

Best for: Agencies and in-house brand teams with several client reviewers, legal or compliance steps, or regulated work.

Pricing (as of October 2026): Filestage's pricing page lists Free (1 active project, 5 new files a month, 10 seats), Starter at $199 a month and Business at $329 a month, with two months free on yearly billing. Enterprise is custom.

Filestage turns the approval sentence into a button. Reviewers comment on any file type without an account, Starter adds due dates, reminders, version comparison and password-protected links, and Business adds approve with changes and reject decisions, review reports and AI review agents that check text, grammar, images, forbidden terms and compliance. We found no first-party MCP server or ChatGPT connector. Zapier's Filestage MCP exposes actions such as getting comments by review, getting file reviews and creating review comments, so an assistant can pull a round's notes for consolidation.

Strengths:

• The most complete approval record in this list.
• Unlimited reviewers, no account needed to give feedback.
• AI review agents on Business catch copy and compliance errors before the client does.

Limitations:

• No brief beside the work and no place for early-stage direction.
• Assistant access depends on Zapier or a similar bridge.
• Priced for teams: $199 a month is a lot for a freelancer with two clients.

3. Ziflow

The verdict: A proofing platform with staged approval workflows and a generous free plan; strong on decisions, light on context and assistant access.

Best for: Studios and brand teams running multi-stage proof approvals across many assets.

Pricing (as of October 2026): Ziflow's pricing page lists Free (2 users, 2 GB, unlimited proofs and reviewers, 60 days of review history), Standard at $199 a month billed annually, Pro at $329 a month billed annually and Enterprise on request.

Ziflow is built around proofs that move through stages, with decisions that trigger the next stage. Pro adds the option that only one reviewer's decision is needed to advance and asks reviewers for decision reasons. ReviewAI, its automated checklist checks, is listed on Enterprise. We found no first-party MCP server; Zapier's Ziflow MCP lets an assistant create folders and proofs, which helps set up a round more than it helps read one.

Strengths:

• Unlimited proofs, reviewers and versions even on the free plan.
• Staged workflows with decisions, deadlines and an audit trail on paid plans.
• Public proof links for outside reviewers.

Limitations:

• No brief or references on screen while the client reviews.
• Assistant access is through third-party bridges only.
• The free plan keeps review history for 60 days.

4. Frame.io

The verdict: The best review room for video cuts, and the first video review tool with an official MCP server, though it is still a beta.

Best for: Editors, motion designers and production companies reviewing cuts, animatics and stills.

Pricing (as of October 2026): Frame.io's pricing page lists Free for up to 2 members and 2 GB, Pro at $15 per member a month for up to 5 members, Team at $25 per member a month for up to 15, and Enterprise on request. Annual billing takes 13% off.

A note on a cut only helps if it lands on a timecode, and Frame.io is built around that. Clients open share links without signing up and leave frame-accurate notes. Frame.io announced an experimental MCP server on its community forum in July 2026, and the post was updated on 7 October 2026 to say it is in public beta. The forum describes tools covering workspaces and projects, reading comments, creating shares, search and uploads. That makes "summarise the notes on version 3" a realistic request for video, once you accept beta behaviour.

Strengths:

• Frame-accurate notes from clients who never create an account.
• Official MCP access to comments, in public beta.
• A free plan for two members to start.

Limitations:

• Not the place for the brief, the script or the shot list.
• Priced per member, and the free plan's 2 GB fills fast with video.
• The MCP server is still a public beta.

5. Figma

The verdict: Share the live Figma file for design feedback: notes pin to the exact element, but clients sign in to comment and the MCP server is built to bring design context into code, not to run review rounds.

Best for: Brand, web, UI and packaging designers whose work lives in Figma.

Pricing (as of October 2026): Figma's pricing page lists Starter free, Professional at $16 for a Full seat, $12 for a Dev seat and $3 for a Collab seat, and Organization and Enterprise billed annually. On paid plans others can view and comment on your files without extra seats.

Exporting a Figma design to PDF throws away its best review feature: comments pinned to the layer. Figma's help center says you can comment if you are signed in to Figma and have at least view access. Its remote MCP server works with clients such as Claude Code, Claude Desktop, Cursor, VS Code and Codex and is link-based: you paste a link to a frame. It is designed to bring design context into code, not to run client feedback rounds.

Strengths:

• The most precise design feedback: the note sits on the element.
• Clients who only view and comment cost nothing on a paid plan.
• No export step, so the client always sees the current file.

Limitations:

• Commenting needs a Figma account.
• No approval status.
• The MCP server is built for design-to-code work, not for collecting a client's notes.

6. Canva

The verdict: If the deliverable is a Canva design, its official MCP server lets an assistant create, edit, export and comment on it; it is not built to hold the brief or the round.

Best for: Social and marketing teams producing the final assets in Canva.

Pricing: We could not verify Canva's current plan prices on its own pricing page today, so check canva.com before you budget.

Canva's MCP documentation lists creating designs from text, making targeted edits, searching designs and folders, uploading assets, accessing brand kits and templates, exporting to PDF, PNG, JPG, PPTX and MP4, resizing, and adding comments to designs. That last one matters here: an assistant can leave the consolidated notes as comments on the design itself. We could not confirm Canva's rules for guest commenting from its help pages, so test the client's experience before you rely on it.

Strengths:

• An official connector with write access, including comments.
• Export to every format the client will need for the record.
• Brand kits keep fixes on-brand.

Limitations:

• No brief, references or decision log beside the design.
• No approval status.
• Suits finished marketing assets more than direction or plans.

7. Milanote

The verdict: A clean moodboard space for visual direction, with no AI connector we could find, so every note round runs by copy and paste.

Best for: Designers and photographers sharing early visual direction who do not use an assistant for feedback.

Pricing (as of October 2026): Milanote's plans page lists Free with 100 notes, images or links and 10 file uploads, and a paid plan at $9.99 a month billed annually ($12.50 monthly), with a team option at $49 a month billed annually.

Milanote does moodboards well: drag images in, arrange them, add notes, share the board. Commenting needs a sign-in, which is the same as Storyflow, so that is not a mark against it. It ranks last here only because the job includes an assistant: we found no Milanote MCP server or connector for ChatGPT or Claude, and Milanote lists no AI features, so consolidation happens in a chat you then copy back by hand.

Strengths:

• Fast, tidy moodboards.
• A free tier for light use.
• Familiar to many designers.

Limitations:

• No assistant access to read or write the board.
• No approval status.
• The free tier's 100 items fill quickly on a real project.

How Studios Collect Client Feedback and Approvals in 2026

Ask ten studios how they run client approvals and you will hear ten tool stacks and the same four rules. The tools vary with the medium; the rules do not. This is what the studios that rarely go past round two have in common.

One link per stage, with the brief on screen

Studios share the direction, the script and the plan as a board link, the cut in a video review tool, and the finals in a proofing or delivery tool. Each link answers one question. The brief stays visible in the early stages, because a note measured against the brief can be acted on and a note measured against taste cannot. How to present a mood board to a client covers the first and most important of these reviews.

One consolidator, and now often an assistant doing the first pass

The studio names one person on the client side who merges their team's notes, and one person on the studio side who owns the round. In 2026 the studio-side owner increasingly hands the first pass to ChatGPT or Claude: paste every note, get a tagged table, check it, decide the contradictions with the approver. The assistant does the sorting; a person still decides.

Rounds written into the contract

Two rounds per stage is the common default, where a round is one consolidated set of notes on one version. A third round is billed. This only works if the round is countable, which is another reason to log each one with its date and version. Campaign approvals from brief to delivery has the contract language.

The approval sentence, logged

"Looks great!" is a mood. An approval names the deliverable, the version and the date, comes from the person allowed to say yes, and says what a change costs from here. Studios with a proofing tool get it as a button press; studios without one get it as a sentence and keep it in a log next to the work.

Where each stage lives

Prompts You Can Copy for Each Feedback Round

These are written for an assistant connected to Storyflow. Replace the bracketed parts. If the assistant is not connected, the consolidation prompts still work in a plain chat; you then copy the table to wherever the client reviews.

Before you share

Consolidating the notes

Replying and closing the round

Worked Example: A Skincare Launch Film, Three Rounds, 41 Notes

This is a composite example of a typical brief, with numbers chosen to show the arithmetic of a feedback round, not a case study of a named client. A three-person studio is making a 30-second launch film and six stills for a skincare brand. The client side has four reviewers: the founder (the approver), a marketing lead, a brand manager and a retail partner contact.

The setup

The studio builds one Storyflow board: the brief top left (objective, audience, tone words "calm, clinical-free, morning light", deliverables, dates), two moodboard routes as walls, and an empty "Round 1 feedback" table. The producer connects Claude to the client's project only, with changes allowed. The contract says two rounds per stage, the third billed at the day rate.

Round 1: direction

The producer presents both routes on a 15-minute call, then sends the read-only link with a five-line request: "Which route is closer to calm morning light? Ignore individual images and type. Founder decides by Thursday 5pm."

By Thursday, 23 notes have arrived: 9 by email, 6 in a Slack channel, 5 from the call notes and 3 as comments on the board. The producer pastes all 23 into Claude with names and channels. Claude writes the table onto the board and tags the rows: 8 brief notes, 7 taste notes, 3 contradictions, 2 out of scope (both asked for a 15-second cutdown that is not in the scope) and 3 duplicates it marks but does not delete.

The producer checks the table in 20 minutes, fixes two rows where Claude guessed the wrong image, and sends the 3 contradictions to the founder as either-or questions. The founder answers two by email and picks route B. Claude drafts the reply covering all 23 notes, and the producer logs: "I approve route B as the direction for the launch film, as shown on the board on 14 October."

Round 2: script and plan

The script goes on the board as a document beside route B. Eleven notes come back, all from two people, because the founder told her team to send notes through the marketing lead. Claude tags 6 as brief notes, 4 as taste notes and 1 as out of scope (a new claim the legal team has not cleared). The out-of-scope note goes to the founder with a one-line explanation. The shot list is approved in the same round with one change: an added packaging close-up.

Round 3: the cut

The cut goes to Frame.io, where the client leaves 7 frame-accurate notes. The studio asks Claude to read the export of those notes, write a fix list on the board beside the approved script and log the cut's approval when it comes. The approval log on the board now holds three dated sentences, one per stage.

What the numbers say

Every stage closed in one round. The work that made that happen was not the assistant's speed. It was the five-line request, the single consolidator on the client side after round 1, and the three contradictions going to the founder as questions instead of turning into a second round.

What the assistant got wrong

Claude matched two notes to the wrong image when the client wrote "the second one" in an email. It also proposed accepting one taste note that contradicted an approved tone word, until the producer pointed it at the brief. Both errors were caught because the table quoted each note and sat on the board next to the work, where the producer could check it in one pass.

What It Costs: Solo Freelancer vs a Studio of Five

Prices as of October 2026, from each vendor's own page. Assistant plans are separate: Claude Free allows one custom connector, and Claude's pricing page lists Pro at $17 a month billed annually ($20 monthly). ChatGPT needs Plus or above for the developer mode the connector uses.

Clients cost nothing in any of these setups: they open the Storyflow board with no account, Frame.io and Filestage reviewers need no account, and Ziflow allows unlimited reviewers. For most freelancers, the first row does the whole job.

Decision Rules: Which Tool for Which Review

Direction, scripts, moodboards and plans

Use Storyflow. These are the reviews where the brief must sit next to the work and where the assistant's consolidation saves the most time, because the notes are many and vague. See the moodboard for clients page for a starting layout.

A video cut

Use Frame.io for the cut itself, and keep the fix list and the approval log on the Storyflow board. How to run a video review round with a client covers the round in detail.

A live design file

Share the Figma file, and keep the brief and log on the board with a link to the frame. Read how to run a design review before the first round, and see the design feedback tool page for the board setup.

Packaging, pharma, finance or anything legal signs off

Use Filestage or Ziflow for the finals, because a recorded decision per version is what an auditor asks for. Storyflow still holds the brief, the earlier approvals and the reasons.

A client who will not sign in to anything

Send the Storyflow read-only link for viewing, and collect notes by email or on a call. Paste them into the assistant as in step 5. Nothing in this method depends on the client commenting on the board.

Common Mistakes When an Assistant Handles Client Feedback

Mistake 1: Pasting only the notes you liked

If you leave out the awkward email, the assistant's summary leaves it out too, and the client will notice. Paste everything up to the cut-off, then let the tags sort it.

Mistake 2: Letting the assistant paraphrase without quoting

A paraphrase can quietly soften "this is wrong" into "consider adjusting". Ask for the note quoted in one column and the interpretation in another, so you can check every row.

Mistake 3: Letting the assistant resolve contradictions

The assistant will pick a side if you let it, and it will pick sensibly. That is still the wrong move: only the approver can decide between two of their colleagues. Ask it to list contradictions as questions, never to resolve them.

Mistake 4: Keeping the summary in the chat

A summary in a chat cannot be read by the client, the rest of your team or you next month. Write it to the board, next to the work, with the round number and date.

Mistake 5: Giving the assistant access to every project

When you connect the assistant for client work, choose the client's project only, and allow changes only if you want it to write the table and log. You can review and revoke access under Settings, Connected apps.

Mistake 6: Treating "looks good" as approval

A friendly reply is not a decision. Ask for the sentence, from the named approver, with the version and date, and log it. If they would rather click a button, that is the moment to use Filestage or Ziflow.

When Storyflow Is Not the Right Choice

Storyflow ranks first here because the job is feedback rounds run with an assistant, and it is the tool compared where ChatGPT or Claude reads the brief and the work together and writes the notes, the reply and the log back beside them. It is the wrong choice in these cases.

You need frame-accurate notes on a video cut

Storyflow has no timecoded comments or drawing on video frames. Use Frame.io for the cut; it is built for exactly that.

You need a recorded approve or reject per version

Storyflow has no approval button and no versioned proofing. If legal, compliance or a procurement team needs a decision record per file, use Filestage or Ziflow, and keep the brief and context on the board.

You need a free tool today

Storyflow is paid-only during early access. Its Free plan launches before the end of 2026, and anyone a paid member invites joins free now, but if you cannot pay anything, Ziflow's free plan or Frame.io's free plan covers basic reviews.

You need offline review or a native app

Storyflow runs in the browser only, with no native mobile or desktop apps and no offline mode. A client reviewing on a plane with no connection needs a PDF export.

Approval Log Template You Can Paste Into Your Assistant

Paste this into ChatGPT or Claude with "Create this table on the [Client] board, next to the brief" and it builds the log once. After that, every round adds one row. Rows are kept in date order as you add them.

The columns

The rules that make the log hold up

• The decision column only takes three values: approved, approved with changes, changes requested.
• The sentence is quoted from the approver, never written by you or the assistant on their behalf.
• Notes carried name the row in the feedback table they came from, so nothing disappears between rounds.
• A change after approval opens a new row and counts against the rounds left.

The Bottom Line

Share early creative work with a client on a Storyflow board, connect ChatGPT or Claude to it, and let the assistant do the sorting: one tagged table of every note, a reply that answers each one, and a dated approval log the client can read. Use Frame.io for cuts, Figma for live design files and Filestage or Ziflow when every version needs a recorded decision. The assistant saves the hours; the five-line request, the single approver and the logged sentence are what save the rounds. Start with your next client project: connect Storyflow to your assistant, build the board brief first, and run round one this way.