Future improvements (founder notes)
This page is written as practical guidance for the Brandow Storage founder/operator.
It focuses on high-leverage improvements for product quality, trust, and growth.
Short answer: docs in database vs hard-coded Markdown
For your current stage, Markdown-in-repo is the right default.
It is faster, simpler, and easier to keep aligned with code changes. You avoid introducing extra schema, RLS, editor UX, and publishing complexity too early.
Move docs to a database/CMS later when one or more of these become true:
- Non-developers need to edit docs weekly
- You need localization and content version workflows
- You need approval workflows (draft -> review -> publish)
- You need analytics per doc section at scale
Product improvement priorities
Priority 1: Reliability and trust (highest)
- Add clear user-facing error states everywhere AI can fail.
- Improve data validation feedback at Row create/edit time.
- Add robust pagination defaults to every row-heavy view.
- Add safer guardrails for destructive actions.
Why this matters:
Users tolerate missing features longer than they tolerate unpredictable behavior.
Priority 2: AI quality loops
- Add thumbs up/down feedback on AI outputs.
- Store structured failure reasons (wrong table, wrong field, partial extraction).
- Track prompt + output quality metrics by feature.
- Build prompt templates for your top 10 customer workflows.
Why this matters:
AI quality compounds when you build feedback loops early.
Priority 3: Onboarding and activation
- Add a guided first-run checklist in-product.
- Provide starter templates for top vertical use cases.
- Add sample data packs so users can see value immediately.
- Add short contextual tooltips for complex actions.
Why this matters:
Time-to-first-value strongly predicts retention.
Priority 4: Documentation maturity
- Keep docs route public and discoverable from landing + dashboard (implemented).
- Add changelog docs for each release.
- Add troubleshooting playbooks for common support issues.
- Add simple docs analytics (page view + exit point).
Why this matters:
Good docs reduce support load and increase trial conversion.
Suggested 30/60/90-day plan
Next 30 days
- Stabilize current AI and Row flows
- Add user-visible AI error handling consistency
- Ship docs for top workflows (already started)
60 days
- Launch at least 3 pre-built Table templates
- Add AI quality feedback collection
- Improve invite and permission management UX
90 days
- Add public API docs and first-party examples
- Launch embedded forms/widgets
- Decide whether docs need CMS migration based on usage
Metrics worth tracking now
- Activation: first Table created within first session
- Engagement: Rows added in first 7 days
- Collaboration: invites sent and accepted
- AI quality: accepted vs edited AI suggestions
- Retention: weekly active companies
Final note
Your current direction is strong: AI for setup + operations is the right wedge.
The biggest upside now is consistency and reliability. Every improvement that reduces uncertainty (especially around AI outcomes and permissions) will noticeably improve customer trust and word-of-mouth.