AI agent builders lack reliable control over model settings and token use
People building AI agents and workflows spend tokens getting basic setups to work, while unclear defaults make it hard to control cost. They also find that workflow tools and coding platforms do not expose reasoning effort, verbosity, or other provider-specific model parameters. A lightweight configuration layer could help, but settings differ across models and proxies, so one solution may not work everywhere.
For AI agent and workflow builders. Mentioned from Aug 2025 to Aug 2026 on product forums and Hacker News.
6 different people described this problem in 5 separate discussions.
- Indie fit
- 6.0/10
- Pain
- 5.7/10
- Frequency
- 7.0/10
- Willingness to pay
- 0.0/10
- Momentum
- 4.7/10
- Who pays
- Professionals
- Competition
- Medium
- Build difficulty
- Medium
What people said
Quoted word for word. Follow a link to read the whole discussion.
I’d like to set GPT5 reasoning effort to minimal, change the verbosity, or access all possible parameters for providers like Openrouter (e.g. picking a certain provider for the selected model)
Is there really no way to turn on reasoning or specify the reasoning tokens? Reasoning is widespread enough that it should definitely be baked in - but it would seem the simplest future proof option would be to allow custom params
Build brief
See what to build and who will buy it
- 2 product ideas with the smallest useful version and pricing
- 4 places to find your first customers
- 4 more quotes from people who have this problem
- Current workarounds, existing solutions and risks