Bren Kinfa 💎 SaaS AI Tools

Before asking AI to build a feature, ask 4 questions: Do you understand the purpose? What is unclear? What am I missing? Which edge cases should I think about? A few questions before execution can expose gaps early.

A useful vibe-coding workflow: Write the user flow. Define the data model. List edge cases. Build one feature. Test it. Review the diff. Commit. Then move to the next feature.

Do not ask AI to rewrite half your app to fix one bug. Ask it to inspect the existing feature first. Then explain the cause. Then propose the smallest change that fixes it. Review the diff before accepting anything.

A strong AI system does not need to be complicated. Take one repeated input, process it the same way every time, and produce something useful. Customer feedback → pain points. Sales calls → objections. Messy notes → next actions.

Tutorial hell feels productive. You watch videos. Save prompts. Bookmark courses. Learn terminology. Then you try building something alone and freeze. Consumption is not practice.

Computer-use agents just got cheaper. GPT-6.1 Terra can now: - use computers precisely - reason over visuals API input is $1 per million tokens, 50% below GPT-5.6 Terra and GPT-6.1 Sol. Test it on form and proposal workflows.

A simple way to get less agreeable AI responses: Ask it to challenge your assumptions before answering. Tell it to identify weak logic, missing evidence, and opposing arguments. You do not always need another answer. Sometimes you need resistance.

Want better feedback on your SaaS? Do not ask users, “Do you like it?” Watch them use it and ask: “What did you expect to happen here?” That question can expose confusing UX very quickly.