Clear vision & principles — mission, nonnegotiables, and success metrics.

User research & personas — interview templates, journeys, and MVP focus.

Core features — unified feed, TL;DRs, action extraction, reminders.

Data integrations — connector strategy, sync modes, and consent flows.

Information architecture — taxonomy, metadata, and automated tagging.

AI design — model choices, hybrid inference, fallbacks, and lifecycle.

Personalization — explicit/implicit signals, decay rules, and serendipity.

Summarization formats — TL;DR, bullets, timelines, Q&A, and action lists.

Relevance & prioritization — scoring, filters, batching, and transparency.

Conversational UX — prompts, short turns, voice, and multimodal cards.

Notifications & cadence — batching, quiet hours, and attention design.

Privacy & ethics — granular consent, data minimization, and audits.

Explainability & audit trails — provenance, confidence, and logs.

Automation & workflows — one‑click actions, two‑way sync, and safe rules.

Collaboration features — shared digests, role views, and handoff templates.

Measurement & KPIs — experiments, dashboards, and ROI metrics.

Iteration playbook — A/B testing, microfeedback, and retraining loops.

Scaling & cost — caching, model tiering, SLOs, and storage strategy.

Onboarding & adoption — templates, guided setup, and change management.

Roadmap & trends — three‑horizon plan, multimodal bets, and governance.