1) Architecture you won’t regret
- SSR front-end for fast TTFB and crawlable content (excellent for landing pages and onboarding). Angular Universal is a solid choice; see Angular development.
- API layer in Node.js/Express with clean adapters and a separate worker for async jobs; see Node.js backend.
- DB (PostgreSQL) + cache (Redis) + queue (BullMQ).
- AI as a single, useful capability first: e.g., text summarization, classification, or a retrieval-augmented suggestion.
If your product naturally touches sales, support, or operations, don’t reinvent the wheel—shape it like ERP/CRM development modules so it scales with your org.
2) Minimal SSR + routing meta (quick win for SEO)
# Angular example ng add @nguniversal/express-engine npm run dev:ssr
Add route-level title
and description
(and JSON-LD if you can). SSR is a multiplier for early organic traffic—pair it with SEO/SEA strategy to validate keywords fast.
3) A small, clean Node API
// api/app.ts import express from 'express'; import cors from 'cors'; const app = express(); app.use(cors({ origin: [/localhost/], credentials: true })); app.use(express.json()); app.get('/health', (_, res) => res.json({ ok: true })); app.listen(3000);
Start with one domain model (e.g., Project
), one happy path, and logs/metrics from day one. Keep AI in its own service so you can iterate independently.
4) First AI feature (useful > flashy)
Pick something unambiguous and measurable:
- Summarize long inputs (tickets, notes, briefs).
- Classify content (priority, category, sentiment).
- Suggest better titles/descriptions from context (RAG).
Pseudo-service interface:
// services/ai.ts export interface AiPort { summarize(input: string): Promise<string>; classify(input: string): Promise<{ label: string; score: number }>; }
Wire it behind a feature flag. Track usage and outcomes (e.g., how often suggestions are accepted). This is how AI integration pays back quickly.
5) Data, auth, and billing (week-2 priorities)
- Auth: cookie-based session or JWT (HttpOnly), plus rate limiting.
- Billing: start simple with Stripe Billing and dunning.
- RBAC: two roles (admin/user) cover most MVPs.
- Exports/audit log: lightweight CSV and append-only events.
If your product grows into internal workflows, consider evolving toward web application development patterns or dedicated ERP/CRM modules.
6) Ship checklist (copy/paste)
- [ ] SSR landing & onboarding indexed; unique titles/descriptions.
- [ ] SLOs & alerting: uptime, error rate, p95 latency.
- [ ] Security headers (CSP later), input validation, backups tested.
- [ ] Logs with correlation IDs; basic dashboards.
- [ ] Feature flags and a fast rollback.
- [ ] A tiny lifecycle email set (welcome, trial expiring).
- [ ] A content plan tied to your keywords—start with 3 posts; see blog-style resources and real-world case studies for inspiration.
Where to go from here
- Double down on one metric (activation, conversion, or retention).
- Add just one AI capability per release, and tie it to a user job.
- If you hit bandwidth limits, short missions or staff augmentation help during peaks; see custom SaaS development and SEO/SEA growth.
- Ready to scope? Get a quote or contact—or simply benchmark vendors via a neutral web & AI services overview.
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