Claude, Codex and Copilot together

What it does

DemoVexa supports Claude, OpenAI Codex and GitHub Copilot through their official CLI-backed SDKs. A primary coordinator can assign and review assistant tasks; provider sign-in, plan access and configuration are required.

How to use it

Connect the AI providers in Settings → AI providers, choose the primary AI, configure assistants and review the handoff options. The primary and settings are locked while processing. This is not a GitHub source-control integration or CI feature.

• Connect AI and voice providers

Where it helps

A team can assign bounded work across its configured AI tools while keeping a coordinator responsible for the result. Check each provider's own terms and access requirements.

• Coding tutorial
• Feature demo
• Technical architecture

A practical example

A team can set one connected AI as primary, add another as an assistant, and let the primary coordinate a bounded task while retaining the review step.

What to check before sharing

Confirm provider sign-in, model availability and account access. Separate AI-provider setup from source-control access and review the task result before use.

Compare the final video with the current product, confirm the selected plan and provider limits, and review the preview at each format before export.

Plan a small, verifiable first use

Start with one outcome this feature should help you prepare, and decide who will judge whether it is ready. Gather only the current product context the task needs: the relevant local app folder or guide, the intended audience, and any voice, brand or format choice that affects the result. Use fictional data and keep credentials, private customer details and unreleased claims out of the brief.

Build a short representative example before preparing a larger set. Review the source and settings, then compare the script and scenes with the product behavior they describe. If the feature depends on a provider, language, plan or destination, state that dependency plainly so the reviewer can judge the right version of the output.

Review changes and pass the files along

When the first preview is ready, check the result in context: listen to the full narration, inspect captions against the audio, and preview each selected aspect ratio. Ask the product owner to verify behavior and labels; ask the publishing owner to check readability, duration and destination requirements. A successful setting or generated draft does not itself confirm that the video is accurate or ready to publish.

For handoff, include the approved MP4, subtitle files when available, the intended placement and the product version used. Keep a reviewer and review date with the asset. Revisit it when the underlying product, provider options or publishing requirements change, then rebuild and review the affected output before replacing an existing video.

Decide whether this feature fits the job

Use this workflow when a reviewed, animated explanation is useful and your team can check it against current product context. If the viewer needs to see a live-only behavior, a real person demonstrating hardware, or an interactive path they can explore themselves, consider whether a screen recording, live demonstration or interactive guide would answer the question more directly. Choose based on what the audience needs to observe.

For this feature, define a simple acceptance check before production: name the visible output that must be present and one condition that would make the draft unsuitable. That could be a required caption track, a verified provider voice, a readable mobile composition or a release-approved screen. Share that check with reviewers so feedback leads to a clear edit or approval decision.