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How should startups approach prompt engineering from day one?

Focus on one painful workflow and make it 2× better. Use simple tooling (git, spreadsheets, scripts) and a tiny eval set. Document prompts and metrics, ship fast, and iterate weekly. Don’t over-engineer; reliability beats fancy patterns. When usage grows, add governance and monitoring.

In practice

Appoint a prompt owner—even small teams need a single throat to choke.

Where to start

  1. [01]Pick one workflow with clear ROI.
  2. [02]Create baseline metrics and a small eval.
  3. [03]Ship v1 in a week and iterate.
  4. [04]Layer governance only as complexity increases.
startup promptingLLM early stagefounder prompts

Related questions

// 001How can businesses use prompt engineering for automation?// 002How do you measure ROI from prompt engineering initiatives?// 003Can prompts help summarize user research without losing nuance?// 004How can I build better SOPs with prompt engineering?

Build it properly.

Promptise Foundry treats prompts as software — typed blocks, versioning, guards and an inspector that shows you every assembly decision.

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