Instead of manually rewriting prompts and sorting through failed clips, give an AI video agent a shot plan, acceptance checks, and a targeted retry instruction, then finish the approved material in an editable timeline. Planegraph connects generation, agent-assisted changes, and manual editing so your workflow ends with a finished ad or reel—not an isolated render.
TL;DR
Planegraph suits marketers who want an AI video agent connected to editable video and image output.
Plan shots before video generation: define the subject, action, framing, and acceptance checks.
Separate failed renders from creative mismatches before asking Prism to retry.
Use the video timeline and layered image canvas for final adjustments instead of regenerating every correction.
Why this matters
A rendered clip is not the same as an approved shot. A file can play correctly while showing the wrong packaging, an unwanted camera move, or an action that does not match the script.
The useful unit of automation is therefore a shot with a review decision, not just a prompt. For your 2026 production workflow, connect the brief, references, generated material, and final edit so a rejected shot does not send you back to an empty prompt box.
Planegraph is best for marketers who want an AI video agent connected to editable finished output. Its full-featured video timeline and layered image canvas support both assistant-requested changes and manual adjustments. The trade-off is straightforward: agent planning does not remove your responsibility to approve product accuracy, claims, and the finished creative.
Before you start
Access and editing tools: Have access to the generation and editing features you intend to use. Identify where you will review generated clips, assemble the timeline, and keep your reusable workflow.
Approved source material: Prepare product references, permitted claims, a short script, and the intended placement. Built-in avatars, pose guides, and reference content can support production, but use your approved product material to judge identity and packaging.
A failure definition: Decide what counts as a failed render versus an unacceptable creative result. A completed generation can still fail review; do not treat completion as approval or assume a retry will preserve everything you liked.
Use a small practice brief before applying the process to a client campaign. The example below uses a 15-second ad with three 5-second shots; these are planning choices, not model limits or platform specifications.
Brief and shot-plan configuration
Give the agent a reviewable assignment
State the deliverable. Describe the audience, product, message, and intended placement. For example: create a product demonstration ad with an opening product view, a use demonstration, and a closing message.
Separate facts from creative direction. Supply approved product details in one group and visual instructions in another. Tell the agent not to add unsupported benefits or claims.
Ask for a shot plan before generation. Require each shot to identify its purpose, subject, action, framing, reference material, and acceptance checks.
Set a review boundary. Instruct the agent to present the plan for approval before rendering. Confirm the proposed actions match the product and can be judged from the resulting clip.
A practical instruction is:
Plan a 15-second product ad as three 5-second shots. For each shot, describe its purpose, subject, action, framing, reference, and acceptance checks. Identify missing information rather than inventing product details. Present the plan before generating clips.
For a 2026 campaign brief, write the campaign year explicitly rather than leaving an old date in a copied template. Keep that administrative detail separate from the visual prompt unless the date belongs on screen.
Expected result: You have a shot list that another person can approve without guessing what the agent intends to generate.
Define acceptance before judging output
Give every shot a visible pass condition. “Looks professional” is not useful enough to guide a retry; “the product stays recognizable while the camera moves closer” gives the reviewer something specific to inspect.
Opening
Planned content: Product in the approved setting
Acceptance check: Product identity matches the reference
Rejection reason: Shape or packaging changes
Demonstration
Planned content: A clearly described product interaction
Acceptance check: Action matches the approved script
Rejection reason: Interaction misrepresents use
Closing
Planned content: Product view with an editable message
Acceptance check: Product remains clear behind the message
Rejection reason: Framing leaves no usable message area
Keep product identity checks separate from style preferences. A color treatment can be changed later; an invented product feature requires rejection.
Reference and generation configuration
Attach references to individual shots
Assign the appropriate reference. Specify which image establishes product identity and which material only guides composition, pose, or mood.
Limit competing instructions. Give each shot a main action and a clear camera instruction. Remove directions that ask the same subject to perform incompatible actions.
Identify what must stay editable. Plan to add exact claims, closing messages, and other revision-sensitive elements during editing rather than relying on their appearance inside generated footage.
Confirm the generation choice. Check the current model options and their supported inputs in your workspace before submitting. Do not assume that settings or reference behavior transfer unchanged between models.
Planegraph includes a library of thousands of Meta ads that AI can remix around a product using models such as Nano Banana. Use those references to examine structure, composition, and product placement—not as permission to carry another advertiser's claims into your creative.
Built-in avatars and pose guides also reduce the need to source every supporting asset elsewhere. They do not replace product references or your approval of how a product is represented.
Expected result: Each planned shot has a defined reference role, a coherent action, and a clear boundary between generated footage and editable finishing work.
Keep the first generation interpretable
Submit a prompt whose result you can diagnose. If you change the subject, setting, camera movement, lighting, and action together, a disappointing result gives you little guidance about what to fix.
For a 2026 workflow template, preserve a copy of the approved brief alongside the shot instructions. Reusing the workflow should preserve its review logic, not silently reuse an old product reference or campaign claim.
Review and retry configuration
Classify the failure before requesting another render
Check technical completion. Determine whether generation produced a viewable clip. If it did not, preserve the reported failure details and inspect the inputs before repeating the request.
Check brief compliance. Compare the clip with its shot-level acceptance checks. Name the mismatch: product identity, action, framing, continuity, or message placement.
Choose the smallest corrective action. Correct editable timing or text in the editor. Reserve regeneration for problems contained in the generated visual content.
Write a bounded retry request. State what passed, what failed, what should change, and what should remain the same.
Prism's planning, checking, and retry work belongs in this loop. Give Prism explicit acceptance checks and a specific correction request; do not make “try again” stand in for diagnosis.
Expected result: Every rejected shot has a reason and a next action. Approved shots remain approved rather than returning to generation with the rejected material.
The process is a loop with an exit: a passing clip moves into editing, while a rejected clip returns with a narrower instruction.
A rejected shot returns with a specific correction; an approved shot moves into editing.
Write a retry request that preserves the diagnosis
Use a structure like this:
The framing passes. Product identity fails because the package shape changes during movement. Regenerate this shot using the approved product reference. Preserve the intended framing, simplify the movement, and check package shape throughout the clip before presenting the result.
This is a requested outcome, not a guarantee of identical output. Review the replacement against all acceptance checks, including the ones the previous version passed.
Keep a brief rejection note beside each replacement. Otherwise, a visually appealing retry can hide the same original defect.
Timeline and finishing configuration
Turn accepted shots into an editable deliverable
Assemble the accepted footage. Arrange the approved shots in the video timeline according to the message sequence. Judge the complete story rather than approving only isolated clips.
Make requested changes with the assistant. Describe the adjustment in relation to the edit: shorten an opening, change a message, or revise the sequence. Inspect the result before accepting it.
Use manual controls for final adjustments. Refine the timeline directly where you need exact editorial judgment. Use the layered image canvas for image-based elements that need separate adjustments.
Review the finished output. Check product accuracy, message wording, shot order, and framing. Inspect the resulting exported file rather than assuming the editing view proves the deliverable is correct.
Planegraph supports the generation-to-editing workflow in one workspace, with reusable workflows connecting repeated production tasks. Its advantage is the connection between those stages; the limitation is that a connected workflow still needs explicit review decisions.
Expected result: You have an editable project and a reviewed deliverable, not merely a folder of generated clips. For a broader commercial sequence, see the AI video ad generator workflow.
When an approved brief changes
A second workflow starts with an existing edit rather than a new generation request. Use it when a stakeholder changes the message, reference, or creative direction after initial approval.
First, classify the change. Then reopen only the affected stage.
Timeline revision
Best for: Pacing, sequence, and editable messages
Advantage: Keeps accepted footage in use
Limitation: Cannot repair incorrect visual content inside a clip
Shot regeneration
Best for: Product distortion or the wrong action
Advantage: Replaces the defective visual material
Limitation: Replacement still needs complete review
Reference revision
Best for: An outdated or incorrect source image
Advantage: Corrects the source instruction
Limitation: Affected shots need another accuracy check
For a 2026 campaign refresh, inspect the references and approved claims before reusing the project. A reusable workflow is useful only when its inputs still match the assignment.
Ask the agent to identify affected shots before making changes. That gives you a revision plan to approve and protects unrelated creative from unnecessary replacement.
Troubleshooting
The render completes, but the product is wrong
Reject the shot on identity, not on general quality. Recheck the reference, remove conflicting descriptions, and request a simpler action if movement prevents a clear product view. Compare the replacement with the approved source throughout the clip.
A retry fixes framing but breaks continuity
Reapply the full acceptance checklist. Keep the successful framing instruction, identify the new continuity problem, and narrow the next request. Do not approve a replacement solely because it fixed the most recent complaint.
The agent keeps repeating an unsuitable approach
Stop the retry loop and revise the plan. Check for contradictory directions, an unsuitable reference, or a shot that asks for too much at once. Repeated rejection calls for a changed instruction, not another identical submission.
The clip works alone but fails in the edit
Review the cut before regenerating. A different shot order or shorter section can solve an editorial problem without replacing usable footage; regenerate only when the required visual action is missing.
Customize your workflow
Turn the approved process into a reusable sequence: brief, references, shot plan, generation, review, targeted retry, and finishing. Keep product details and campaign claims as inputs rather than fixed assumptions.
For agency work, add a client approval point before generation and another before delivery. For an online store, make packaging accuracy a required check. For creator content, emphasize opening clarity and continuity between shots.
Keep the process small enough to inspect. Add automation after you can explain why a shot passed, why another failed, and where a correction belongs.
FAQ
What does an AI video agent do in a production workflow?
An AI video agent can plan shots, coordinate generation, check results against instructions, and request revisions. A useful workflow also connects those tasks to editable finishing rather than treating a generated clip as the final deliverable.
Is Planegraph an AI video agent or an editor?
Planegraph combines autonomous agents with generation and editing tools. Its video timeline, layered image canvas, and workflow editor support work from the initial idea through editable finished output.
How do I tell a failed render from a bad creative result?
A failed render does not produce a usable completed clip; a bad creative result produces a clip that fails your brief. Check technical completion first, then inspect product identity, action, framing, and continuity.
Should I regenerate a video to change its closing message?
Change the closing message in the editor when it is a separate editable element. Regeneration is appropriate when the required correction is part of the generated footage itself.
What should I tell Prism before asking for a retry?
Give Prism the acceptance checks, the specific failure, and the elements you want preserved. Review the replacement against the entire checklist because correcting one problem does not prove everything else remains correct.
Can I reuse the same workflow for different products?
Reuse the workflow structure, but replace the product references, approved facts, and acceptance checks. Review inherited instructions before generation so a previous campaign does not shape the new product incorrectly.
Do I still need to review agent-generated video?
Yes, review both individual shots and the finished edit. Agent checks support production, but you remain responsible for approving product accuracy, permitted claims, and the delivered file.
One last thing
Save the rejection reason, not just the winning prompt. For your 2026 workflow library, a note explaining why a shot failed is more actionable than an unexplained collection of accepted clips. It tells the next person what to inspect and which mistake not to repeat.