https://rss.iono.fm/c/10122 This podcast is for creators, marketers, and small teams building repeatable AI video workflows. Episodes explore how to plan a shot before generating it, write prompts that produce coherent motion, convert still images into short clips, and direct camera movement in clear language. We also cover the practical side of iteration: choosing reference images, evaluating an early draft honestly, refining pacing and style, and deciding when a clip is ready for a demo, advertisement, or social feed. Several sessions use Kling 3.0 AI Video Generator at https://kling3ai.co/ as a hands-on testing ground for text-to-video and image-to-video workflows. The focus stays on useful production habits rather than hype, with grounded discussions of prompt design, cinematic direction, motion realism, and responsible review. The show is intended for people who want to understand where browser-based AI video tools fit into a broader creative process and how to turn experiments into more consistent output. Technology en Fri, 17 Jul 2026 05:27:41 +0200 Sun, 09 Aug 2026 16:18:29 +0200 30 http://blogs.law.harvard.edu/tech/rss iono.fm 2.5.2.0 Kling 3 AI Video no Foster Martyn Yearly feeds@iono.fm (Feed Manager) https://cdn.iono.fm/initials/v1/k/k.svg https://rss.iono.fm/c/10122 This podcast is for creators, marketers, and small teams building repeatable AI video workflows. Kling 3 AI Video episodic Kling 3 AI Video fostermartyn735@gmail.com false US https://iono.fm/e/1705430 https://iono.fm/e/1705430
The usual blocker is that making that clip properly means a video editor, stock footage, and time you don't have between recording and publishing. So most people either skip video entirely or post a static waveform image, which rarely performs.

A middle path is describing the clip instead of building it shot by shot. You write out the subject (say, a host mid-conversation or a simple graphic representing your episode topic), how it should move, what the camera does, and the tone of the audio underneath - all in one prompt - and let a generator produce a draft you can review. This is the workflow behind Muse Video https://muse-video.app/, which is still in a preview stage, so treat any output as a starting point rather than a finished broadcast asset.

A few things worth knowing before relying on this for every episode: preview-stage tools can be inconsistent between runs, output length and style may not match your exact editorial standards, and you shouldn't assume specific pricing, access limits, or performance claims beyond what the tool's own site currently states.

Used sparingly - for a handful of episodes worth extra promotion - this kind of prompt-led draft can save the early idea-to-clip step, even if you still do a final trim before posting. ]]> Technology Sun, 09 Aug 2026 16:16:00 +0200 0 0 Turning a podcast episode into a short teaser clip without a video team 0 0 Foster Martyn full 13:21 Learning AI Video Workflows https://iono.fm/e/1704983 https://iono.fm/e/1704983
Muse Image provides a browser-based workspace for creating and editing images from text, photos, sketches, and multiple references: https://muse-image.co/

Use the tool after the review criteria are clear. Change one variable at a time, keep the strongest constraint stable, and compare every revision with the original brief. The goal is not to collect unlimited outputs; it is to reach a visual decision that communicates clearly and can be handed to the next production step. ]]> Technology Fri, 07 Aug 2026 09:06:00 +0200 0 0 A Practical Visual Review Loop for Image Concepts 0 0 Foster Martyn full 1:45 Learning AI Video Workflows https://iono.fm/e/1697323 https://iono.fm/e/1697323 Technology Fri, 17 Jul 2026 05:30:00 +0200 0 0 From Prompt to Motion: A Repeatable AI Video Workflow 0 0 Foster Martyn full 1:45 Learning AI Video Workflows