Building an Internal Tool with FutureX: Token Costs and 3 Mistakes
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We built a small internal dashboard with FutureX in three days. The dashboard itself was unremarkable — a status board, a few API integrations, and a Postgres view. What was remarkable was the token bill. Input tokens were roughly 2.4x what the task should have required, and output tokens were almost 3x. This post is a transparent account of where those tokens went, the three mistakes that inflated the cost, and the specific workflow changes that brought subsequent work down to a sane level. If…
1Key Takeaways
- We built a small internal dashboard with FutureX in three days.
- The dashboard itself was unremarkable — a status board, a few API integrations, and a Postgres view.
- What was remarkable was the token bill.
- Input tokens were roughly 2.4x what the task should have required, and output tokens were almost 3x.
2AIWedia Score
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3Why it matters
Prompt and agent patterns spread fast; staying current saves time and token cost. DEV — Prompt Engineering reports that we built a small internal dashboard with FutureX in three days.
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