Hey everyone, Edward here. We re launching Aident AI(Beta 2) in just a few hours!
While building this, we realized the hardest part of automation isn t the 'happy path' it s the messy, unpredictable real-world events. When an automation hits a vague goal, it usually breaks.
We ve shifted from 'UI design' to 'Instruction design' so our agent can actually interpret intent rather than just follow rigid lines on a graph.
I d love to know: For non-technical users, what s been the hardest part about turning a vague goal into something an automation tool can actually run?
With new tools coming almost every month and old tools becoming better. What is your vibe coding or AI setup that you use in your day to day life.
What IDE, what model for what task and other details of your flow. I use
- Gemini CLI
- VS Code with openai models in chat
- Claude for making specs
I've built my product around traditional SaaS pricing (monthly tiers), but I m starting to wonder if that model is getting outdated, especially with more AI-powered and compute-heavy tools entering the market. That shift requires real architectural changes, instrumentation, metering, billing logic, and UI changes, not just pricing tweaks. It s something I m starting to seriously think about for my own product.
In particular, AI usage has real COGs (every prompt costs money), and I m seeing more platforms experimenting with usage-based models, or hybrids like SaaS base + usage + overage.
For those of you building AI or compute-intensive tools:
