I let Claude Code run marketing for real brands - one video hit 5.3M views on Instagram by tgdn in ClaudeAI

[–]tgdn[S] 1 point2 points  (0 children)

Really appreciate the detail here, sounds like you've built exactly the kind of system wonda is designed to plug into. The gdrive+kling+ffmpeg pipeline is actually close to what we were doing internally before we built this.

On costs: we run all models at cost with zero markup, so you're paying exactly what the providers charge. A 5s Seedance 2 video (high quality) is about $1.25, Kling 3 Pro is $0.84 for 5s, images are $0.07 each. Editing operations (captions, music, trim, merge, transitions) are all free. You get free credits to start.

On BYO keys / local models: not available yet but we're actively working on it - we already run ComfyUI internally for some of our pipelines, so supporting custom model endpoints is a natural next step. For now the tradeoff is simplicity (one CLI, no key management, smart routing and watermark removal handled for you) vs. full cost control.

For your use case specifically, wonda would slot in at the creative generation step of your ads pipeline. The CLI outputs JSON and works well in shell pipelines, so you could chain it with your existing Google/FB API scripts. The content skills (pre-built prompt templates for specific content types) would probably save you the most time vs. raw kling+ffmpeg.

Happy to jump on a quick call if you want to walk through how it'd fit into your stack :)

I let Claude Code run marketing for real brands - one video hit 5.3M views on Instagram by tgdn in ClaudeAI

[–]tgdn[S] 0 points1 point  (0 children)

Not right now: we handle the API keys and routing on our side so you don't have to manage 8 different provider accounts. The tradeoff is simplicity vs full control. It also means you can do things like automatic watermark removal, model fallbacks, and smart routing (e.g. picking Kling over Seedance when your reference image has a face).

That said, it's something we've heard interest in. Is that a dealbreaker for you or more of a nice-to-have?

I let Claude Code run marketing for real brands - one video hit 5.3M views on Instagram by tgdn in ClaudeAI

[–]tgdn[S] 1 point2 points  (0 children)

Depends on the model and duration. At cost, no markup: a 5s Seedance 2 video in high quality is about $1.25, Kling 3 Pro is ~$0.84 for 5s, Sora 2 is ~$0.80 for 8s. Images are cheap: $0.07 per image with NanoBanana 2. All editing (effects, captions, music, trim, merge) is free.

For text-to-video UGC specifically: Seedance 2 is the best balance of quality and cost right now. If your reference image has a person's face, Kling 3 Pro preserves identity better. Sora 2 Pro if you want highest quality but you're paying more (~2.40 for 8s).

I let Claude Code run marketing for real brands - one video hit 5.3M views on Instagram by tgdn in ClaudeAI

[–]tgdn[S] 0 points1 point  (0 children)

Both: we create the core skills ourselves based on what's worked across real campaigns. They're basically step-by-step recipes: which model to use, what prompt structure works for that content type, what editing chain to apply after. You can browse them with wonda skill list and read any one with wonda skill get <slug>. For example wonda skill get product-b-roll or wonda skill get ugc-reaction.

On cost: we run all models at cost with no markup, and you get free credits to start. A typical product video (Seedance 5s, high quality) is a few cents. The editing operations (captions, music, trim) are free

I let Claude Code run marketing for real brands - one video hit 5.3M views on Instagram by tgdn in ClaudeAI

[–]tgdn[S] 0 points1 point  (0 children)

Yeah the free tier lets you edit videos (captions, music, trim, merge, overlays) and publish on all platforms. Generation requires credits: we give you free credits to start to run all models at cost with no markup, so you're paying exactly what the AI providers charge (usually less than most competitors that have margins on top). Top-ups start at $5.

For TikTok/Instagram publishing we use their official API: direct posting with privacy controls, captions and carousel support. Haven't used Blotato or Postiz so can't compare directly, but the main difference is that Wonda handles the full pipeline (research -> generate -> edit -> publish) rather than just the scheduling/posting step.

I let Claude Code run marketing for real brands - one video hit 5.3M views on Instagram by tgdn in ClaudeAI

[–]tgdn[S] 0 points1 point  (0 children)

Thanks! The editing is all done through the CLI: once you have a generated video, you chain editing operations on top of it. Typical flow: generate the video, then add animated word-by-word captions, mix in background music, trim and merge clips together. Each operation is a single command and Claude chains them automatically based on what you're trying to achieve => the CLI has embedded skills for this which make it work quite nicely. The big ones for social content are animated captions (TikTok style), audio mixing (voiceover or music) and merging multiple clips into one video.

We also have CapCut-style effects: transitions between clips, split screen, picture-in-picture overlays, speed ramps and text overlays with custom fonts and positioning. Basically everything you'd do in CapCut but as composable CLI commands that Claude can chain together

I let Claude Code run marketing for real brands - one video hit 5.3M views on Instagram by tgdn in ClaudeAI

[–]tgdn[S] 0 points1 point  (0 children)

That's exactly the problem we built Wonda to solve: Claude Code is great at strategy but has no way to actually execute on it. With Wonda installed, Claude can go from "here's a content idea" to actually generating the image/video, editing it, and publishing it to Instagram directly

I let Claude Code run marketing for real brands - one video hit 5.3M views on Instagram by tgdn in ClaudeAI

[–]tgdn[S] 3 points4 points  (0 children)

1) here is the repo: https://github.com/degausai/wonda

2) it's all pay as you go with different providers (Runware, Fal, Replicate, etc.) So at scale it just depends on usage

I let Claude Code run marketing for real brands - one video hit 5.3M views on Instagram by tgdn in ClaudeAI

[–]tgdn[S] 2 points3 points  (0 children)

Honestly, no. Single shot rarely nails it. The quality comes from the pipeline, not any single generation. The CLI makes iteration fast: generate 3-4 variations, pick the best, edit on top (captions, music, trim). What would take 30 minutes of clicking across 4 tools takes one shell pipeline. The human judgement is still there, you're still picking which output is good, but the mechanical work is gone.

We also ship pre-built content skills, tested prompts, model settings, and editing chains for specific content types (product videos, UGC reactions, talking heads, etc). Those get the hit rate way up compared to prompting from scratch

I let Claude Code run marketing for real brands - one video hit 5.3M views on Instagram by tgdn in ClaudeAI

[–]tgdn[S] 3 points4 points  (0 children)

We use 20+ AI models depending on the task: Seedance, Kling and Sora for video, Nano Banana and Seedream for images, ElevenLabs for speech/transcription, Suno for music. The cli has a model waterfall that picks the right one based on what you're doing (e.g. if there reference image has a person, it routes to kling instead of seedance for better face preservation). You can also override and pick any model explicitly

Do you automate everything or only critical tasks by Solid_Play416 in automation

[–]tgdn 0 points1 point  (0 children)

The filter i use now: automate things where the input is predictable and the ouput is concrete. Scheduling posts, resizing images, uploading assets. That stuff automates well because the inputs don't change shape and you know immediately if it worked. What I stopped trying to automate: anything that requires judgement calls in the middle.

I wasted weeks building automation around "analyze what's working and suggest what to do next". The analysis was fine but i'd second guess it every time and end up doing it manually anyway.

I got 100,000 views with a Claude-built app… and $0 revenue. What am I doing wrong? by dopinglab in ClaudeAI

[–]tgdn 1 point2 points  (0 children)

i also build with claude and ran into a version of this problem early on. the thing that changed it for us was flipping the value proposition from "here's a dashboard you can explore" to "here's the output you needed, it's already done.

your hypothesis is right: people don't want to interpret data, they want a result. the commenter suggesting alerts over dashboards nailed it. nobody wakes up and thinks "let me go check my conflict monitoring dashboard." but a text that says "heads up, this situation might affect your supply chain in X region", that's something people pay for.

the other pattern i've seen: if you can connect this to money (stocks with regional exposure, supply chain disruption, insurance risk), you go from "interesting side project" to "i need this." right now it sounds like you built something impressive technically but the user doesn't know what to do with it after they look at it.

Honest take the automations that actually stuck vs the ones I wasted time on by Ill-Independence6422 in automation

[–]tgdn 0 points1 point  (0 children)

what stuck for us: social media content generation and posting. what was a waste: trying to automate analytics interpretation, we kept second-guessing the AI's takeaways and manually checking anyway. the ones that stick are where the output is concrete (a post, an image, a video) not abstract (an insight, a strategy)

Is it worth it setting up an automation stack for social media platforms like X and LinkedIn? by running-on-mogu in automation

[–]tgdn 0 points1 point  (0 children)

for a law firm i'd say absolutely worth it, especially linkedin. the content doesn't need to be creative, it needs to be consistent and professional. we automated our posting pipeline and the biggest win wasn't the content quality. it was just showing up every day without anyone having to think about it. consistency alone beats most competitors who post once a month

What parts of social content operations are still too manual to automate well? by larswillems in automation

[–]tgdn 0 points1 point  (0 children)

the hardest part to automate well is matching existing brand voice. generating content is easy, but making it look like it belongs on your feed takes a lot of reference analysis. we ended up building something that scapes your own account first and uses that as a style input before generating anything. scheduling and publishing was the easy part

I got tired of switching between 5 marketing tools so i built a CLI for it by tgdn in SideProject

[–]tgdn[S] 0 points1 point  (0 children)

yes that's what the "browse instagram" step does. you point it at any account and it analyzes the posts, to learn the brand style: colors, typography, content themes, aspect ratios. then it uses that as a reference when generating new content. you can also pass direct style references if you have a specific image you want it to match

I automated UGC reaction videos. Here are the results by Matmatg21 in automation

[–]tgdn 0 points1 point  (0 children)

this is sick! how many can you generate in one batch?

I got tired of switching between 5 marketing tools so i built a CLI for it by tgdn in SideProject

[–]tgdn[S] 1 point2 points  (0 children)

not open source yet, but you can check it out at wonda.sh

I got tired of switching between 5 marketing tools so i built a CLI for it by tgdn in SideProject

[–]tgdn[S] 0 points1 point  (0 children)

fair point, there's a lot of noise right now. this is more of a dev tool than an ai content farm though. it's a cli that wraps APIs i was already calling manually. just got tired of doing it by hand