Aident AI

How to Generate AI Video With Codex and fal
The safest repeatable workflow is to let Codex use Aident Loadout to discover the current fal text-to-video Actions, inspect the live model catalog and input schema, validate a small test request, and execute only at the cost boundary you approve. Start with a short 480p clip. Do not hard-code a provider key, guess model fields, or begin with a production-length render.
This guide produces one bounded text-to-video test from a terminal workflow. It does not automate publishing, make rights decisions for you, or promise that every prompt will produce usable footage.
Prerequisites
You need:
Codex or another coding agent with terminal access;
the public
aidentCLI installed and authenticated;a ready fal connection in Aident Vault;
Aident credits or an approved billing policy for the generation;
a prompt and source material you have permission to use; and
a local folder where you can save the returned result and review notes.
If Aident Loadout is not installed, give Codex this instruction:
Then verify the account and Vault before searching for an Action:
Expected result: the account reports authenticated, and the Vault output shows the fal integration as connected and ready. Fix authentication or connection state before moving on.
1. Discover the Current fal Model Catalog
Search by task instead of pasting a saved Action identifier:
Choose the result whose description says it lists active fal text-to-video models. Do not select a generation Action for this read-only step. Copy that exact Action name, then inspect and run it:
Expected result: structured JSON identifies the default model and lists active alternatives with descriptions, pricing units, required fields, accepted choices, defaults, and documentation links.
On July 30, 2026, the catalog reported Seedance 2.0 Fast as the default text-to-video model. Its current fields included a required prompt plus optional duration, resolution, aspect ratio, audio, and bitrate controls. Treat that as dated evidence, not a permanent contract. Re-run the model-list Action when you generate.
2. Define a Small, Verifiable First Clip
Use the cheapest useful test that can answer whether the prompt, framing, and motion work:
Field | First test | Why it helps |
|---|---|---|
Prompt | One subject, one action, one camera direction | Reduces conflicting motion instructions |
Duration | 4 seconds | Limits cost and makes failures quick to inspect |
Resolution | 480p | Favors iteration before a higher-detail render |
Aspect ratio | Match the final channel | Prevents judging a landscape idea in portrait |
Audio | Off unless sound is part of the test | Keeps the first review focused |
Bitrate | Standard | Avoids a larger file before the concept is proven |
A concrete prompt separates subject, action, camera, setting, and exclusions:
The prompt is an acceptance test, not only a creative description. You should be able to verify the subject, motion, camera, duration, framing, and excluded elements in the returned clip.
3. Discover and Inspect the Generation Action
Search separately for the write Action:
Choose the result whose description says it runs an active fal text-to-video model. Copy that exact Action name and inspect its live schema:
Confirm that the fields you plan to send are present. The default Action schema checked on July 30 accepted prompt, durations from 4 to 15 seconds or auto, 480p or 720p, common landscape and portrait aspect ratios, an audio toggle, and standard or high bitrate. A non-default model can require different fields, so inspect that model through the catalog before using it.
4. Validate the Request Before Spending
Preflight checks the input without dispatching the provider:
Expected result: inputValid is true and validation issues are empty. Fal pricing is dynamic, so preflight can report that the exact estimate is unavailable until the live quote immediately before provider dispatch. That is not permission to ignore cost. Treat the execution step as the spending boundary.
5. Execute Only After Reviewing the Boundary
The next command can incur a charge:
The Action quotes current pricing before provider dispatch. If the response requires confirmation, stop, review the exact quote, and obtain human approval. Supply a returned one-time confirmation token only after that approval. Do not lower an expected billing quantity, bypass the Action, or put a fal API key into the prompt to avoid the gate.
When the Action succeeds, keep its structured result and save the returned video to your review folder before any temporary URL expires. Record the prompt, Action result, date, and approved cost with the file.
6. Review the Clip Before Increasing Quality
Check the result against the request:
The clip lasts about four seconds.
The frame is 16:9 and usable at the intended crop.
The paper prototype completes one clear rotation.
The camera remains locked.
No text, logo, or extra object appears.
The video opens locally and plays through without corruption.
Change one variable per iteration. If motion is wrong, revise the action or camera sentence while keeping duration and resolution fixed. If composition is right but detail is insufficient, then move to 720p. A larger render is evidence-backed only after the small clip passes.
For deterministic editing and final assembly, use a code-native video project after generation. Aident's guide to editing videos with Claude Code and HyperFrames covers reproducible composition, preview, and rendering. For a broader tool choice, compare HeyGen, HyperFrames, and video APIs.
Common Failure Modes
Symptom | Likely boundary | Safe next step |
|---|---|---|
No matching fal Action appears | Vault is not ready or the query is too narrow | Recheck Vault, then search for |
Input validation fails | Fields came from another model or old example | Re-list models and inspect the exact Action schema |
Preflight cannot provide an exact estimate | Dynamic pricing resolves at provider dispatch | Keep the request small and enforce your approval policy at execution |
Confirmation is required | The live quote crossed the configured boundary | Stop and obtain approval before using the one-time token |
Aspect ratio or duration is wrong | A field was omitted or unsupported by the model | Compare the sent JSON with the current model choices |
The command times out | The provider job may still be running | Inspect Aident audit history before retrying so you do not duplicate a paid job |
The clip is blocked | Provider safety policy or rights concern | Revise the material or prompt; do not disable safeguards |
Inspect recent calls without dispatching another generation:
Why This Workflow Works
The model catalog is the current source of truth for model availability, fields, defaults, and pricing units. Schema inspection prevents Codex from inventing parameters. A small preflighted request limits the first experiment. The execution boundary keeps the live quote and any required confirmation attached to the exact normalized input. Vault keeps the provider credential out of the repository and prompt.
This applies the useful structure behind Aident's Ollama networking guide: answer one exact job early, use reproducible commands, state expected results, separate look-alike failures, and explain why each boundary matters. The Ollama post's traffic does not prove that every technical workflow will perform the same way.
Give Codex One Measurable Video Task
Connect fal through Aident Loadout, then ask Codex to discover the current model-list and text-to-video Actions, inspect both schemas, validate one four-second 480p request, and stop at any cost-confirmation boundary. Success means one reviewed clip that matches six explicit acceptance checks, with no provider key in the prompt or repository.
Sources
genmedia CLI: fal Models from the Shell, fal, updated May 7, 2026 and accessed July 30, 2026
Seedance 2.0 Fast Text to Video API, fal, accessed July 30, 2026
Codex use cases, OpenAI, accessed July 30, 2026
Aident Loadout, Aident, accessed July 30, 2026
Refresh this guide when Aident changes capability discovery, preflight, confirmation handling, or audit output, or when fal changes the default text-to-video model, accepted fields, pricing behavior, or result contract.


