Job opportunity:
I’m looking for an AI workflow builder to walk me through a basic Hermes research workflow.
Competitive pay, looking for a 1-2 hour consult. If you’re helpful, maybe permanent.
If you’re qualified, comment below + DM me a few of your recent AI projects.
Deep Insights: 4 Key Takeaways
1. Technical Success != Product Success
Many engineers (myself included) fall into the trap of thinking "It works, therefore it is successful." Users don't care about your tech stack; they care if it solves their problem without breaking their flow.
2. Design "AI-Centric" Workflows
We talk about "User-Centric," but we must add a layer: "AI-Centric." Don't make AI mimic human workflows. Redesign the workflow so the AI can operate at peak efficiency, then let the human enjoy the result.
3. Skill > Agent
Independent Agent platforms face high adoption barriers. Encapsulating capabilities as a Skill that plugs into the existing ecosystem is a far more pragmatic path.
4. Action
Even though the initial product "failed," the cognitive upgrade was priceless. You cannot learn to shift from "Human Workflow" to "AI Workflow" without getting your hands dirty.