A user says token pricing makes AI costs hard to predict
A Reddit user says they run a medium-sized business and use Claude on a team plan. They argue that if a prompt is not right, they still spend credits on poor answers. They also say model changes can make old workflows stop working, and that they cannot know token use before sending a request.
Key points
- The writer says their 7-person team uses the Claude team plan.
- They say poor answers still consume credits.
- They say a prompt that worked before can stop working after model changes.
- They say token use is hard to predict before a request is sent.
- They argue that training the team has not fully solved uneven output quality.
Quick term guide
- business
- An activity where you provide value to others in exchange for money.
- workflows
- The specific order of steps taken to finish a piece of work.
- workflow
- A repeatable set of steps for getting a task done.
- AI agents
- AI agents are AI tools that can carry out steps toward a goal, not just answer once.
- AI agent
- An AI program that can inspect information and suggest what to do next.
- benchmark
- A test used to compare speed, quality, or cost.
- agent workflows
- Step-by-step work patterns where an AI agent handles a task.
- agent workflow
- A set of steps an AI follows automatically to complete a series of tasks in order.