Build Systems that Drive Trust
🔍 Build data-driven creator systems and design workflow automations that run themselves

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In Partnership with Nebius
Cut AI Cloud Spend Before Your Next Invoice

Every extra day on AWS or Azure burns budget and pushes back your roadmap. Slow GPU queues and surprise bills quietly erode margins while your competitors sprint ahead.
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Operators switching over see 30–50 % lower GPU costs and consistent pricing around $2 per hour, while training large models up to 50 % quicker with instant scaling
Teams like Recraft and Captions already trust Nebius for fast, always-on GPUs and rock-solid clusters that let them ship models without delay.
Switch to Nebius and lock in your free months before your next cloud bill hits!
🧩 Stop Treating Creator Marketing Like a Side Hustle
Most brands treat creator marketing as a creative experiment, not a performance engine, and that’s why they lose. In today’s AI-driven feeds, 70–80% of what people see comes from accounts they don’t follow. Algorithms don’t reward consistency anymore; they reward volume and iteration.
Building a Scalable Creator System
The brands that win treat creator content like paid media. They test at scale, measure everything, and double down on what converts. Here’s how:
1️⃣ Humanize the Brand:
Let real customers and creators speak naturally. Authenticity outperforms polish every time.
2️⃣ Keep It Real:
Imperfect, “raw” content builds trust. Overproduced ads feel staged.
3️⃣ Track and Iterate:
Treat creator videos like ad campaigns. Test multiple hooks, measure ROAS, and refine the next round.
The data backs it: health and wellness brands are leading the charge (35–40%), followed by fashion and beauty (25%). Structured testing on Meta Reels drives the strongest results, proving that performance comes from systems, not luck.
From Guesswork to Predictable Growth
The old way: selecting creators based on aesthetic and hoping they perform well. The new way: choosing based on data, real hook rates, CTR, and conversion history. When you track performance, you’re not gambling with budget; you’re investing with precision.
Keep It Human
AI can help write briefs, analyze results, and speed up editing. But creators, real humans, are the heartbeat of authentic storytelling. Replace them with avatars, and you trade short-term scale for long-term trust loss.
The Takeaway
Scalable creator marketing isn’t about chasing viral moments. It’s about systems, structure, and story. Build feedback loops, trust real creators, and let data guide instinct. When your process gets smarter and your content stays human, both performance and credibility compound.
🤖 Build Multi-Step AI Agents Using Genspark
Automating complex workflows no longer requires coding or multiple disconnected tools. With Genspark Custom Super Agents, you can now create multi-step AI agents in plain language capable of executing entire task sequences autonomously. These agents go far beyond traditional GPTs, combining multiple tools into one unified system.
So you can create a multi-steps agents (unlike GPTs) in natural language using Genspark custom super agents!
— Paul Couvert (@itsPaulAi) October 21, 2025
For example:
- Analyze a codebase
- Search for the latest docs
- Aggregate all the informations
- Produces files ready for use
How to create any agent (link below) pic.twitter.com/N3B7y1P0PH
Steps to Build Your Own AI Agent
1️⃣ Access the Genspark Platform:
Visit genspark.ai/custom_super_agent/store. Log in and open the creation dashboard. This is where you’ll describe the workflow you want to automate.
2️⃣ Describe the Workflow in Natural Language:
Write your instructions step-by-step, just like you’d explain them to a team member. For example:
“Analyze a codebase → Search for documentation → Aggregate the findings → Generate downloadable files.” Genspark automatically links the tools required for each step and builds your custom agent.
3️⃣ Configure Behavior and Tools:
Use the “Configure” tab to fine-tune your agent’s behavior. Here you can define decision rules, specify tool access, and adjust execution limits for better control.
4️⃣ Run and Refine Your Agent:
Once built, your agent can perform multiple actions autonomously, searching, analyzing, coding, summarizing, and producing ready-to-use outputs. Unlike static chatbots, these agents operate sequentially and continuously until the task is complete.
Why It’s Powerful
Genspark’s multi-tool environment allows agents to:
- Perform research and file generation tasks
- Analyze code, data, or market insights
- Create apps, reports, or web pages
- Execute entire workflows automatically
The Takeaway
With Genspark Custom Super Agents, you can turn repetitive, multi-step processes into fully automated workflows, using nothing but natural language. It’s a major leap from reactive chatbots to proactive AI systems that work like real digital assistants.
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