Voe Ai
Create professional Veo 3.1 videos from prompts, images, and keyframes
Design Tools·AI & Machine Learning·Marketing
About
Voe Ai is a lightweight AI video studio for creators, marketers, and teams who want to turn ideas into polished videos with Veo 3.1. Start with a detailed text prompt, guide the result with reference images, or use keyframes to control how a scene begins and ends. The workflow is designed for fast iteration without giving up creative direction.
Create cinematic concepts, product teasers, social clips, visual storyboards, explainers, and short-form content in both 16:9 and 9:16. Voe Ai brings prompt-led generation, image-guided workflows, keyframe control, generation history, and downloadable outputs into one focused workspace. Credit-based billing makes usage transparent, while private processing keeps projects in your workspace. Videos are watermark-free by default, with an optional watermark when you need one.
What makes Voe Ai different is the balance between simplicity and control: a clean interface for quick first drafts, plus practical controls for composition, motion, aspect ratio, and source assets. It is built for makers who want to explore ideas quickly, compare variations, and move from a rough concept to a shareable clip without a complicated production setup. Whether you are developing a campaign, testing a visual direction, or creating content for social media, Voe Ai helps you get from prompt to professional-looking video faster.
Ready to launch?
Submit your product and get discovered by builders and creators worldwide.
Launch Now
FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
a lot of teams they try to Shield the engineering group from like customer feedback and then there's this gatekeeper this product manager or the support team that compiles that data and then give that data to engineers and I've always subscribed to the idea that Engineers need to be talking to users
Engineers in the support queue, not behind a PM filter
Filtering customer pain through a PM layer slows the fix loop and degrades the signal — by the time it reaches the engineer it's a Jira ticket, not a frustrated human. Direct engineer access to the support queue, plus scheduled all-hands 'support nights' before focus blocks, converts the laziness instinct ('I'll just fix this so it stops coming in') into a retention engine.
these communities can turn into Echo Chambers and develop a lack of diversity because as they have entry requirements that might exclude certain demographics or certain people who can afford it... it's a good idea to implement some kinds of purchasing power parity pricing for example and to actively seek diversity in inviting people into the group
Counter echo-chamber risks with PPP pricing and deliberate diversity recruiting
Paid gating filters in commitment but also filters out useful difference. Two specific counter-moves: (1) Purchasing-Power Parity pricing tiers (so the same product is affordable for a member in India or Argentina at the same relative effort as one in San Francisco), and (2) explicit founder outreach to invite-in people from underrepresented backgrounds and adjacent domains. Without both, the community calcifies into one perspective, which kills the cross-pollination that makes it valuable.
There's a play for whatever you're stuck on.
Read all 2722 playbooks
Comments
1Voe Ai is built for makers who want more control than a one-line prompt. Start with a Veo 3.1 prompt or reference image, shape the direction with keyframes, and iterate toward a polished clip in a foc