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This roadmap focuses on two pillars: AI‑assisted marketing and a visual Automation Builder. Timelines are indicative and may shift as we learn from users.
Phase 1 — Foundations (In Progress)
AI Building Blocks
- Content helpers: subject line and preview text suggestions
- Tone and length adjustments (shorten/expand, formal/casual)
- Send‑time recommendations (per audience segment)
- AI prompts library with safe defaults and guardrails
Automation Builder (MVP)
- Visual canvas with nodes/edges (trigger, email, delay, decision)
- Draft → validate → launch flow with versioning
- Basic audience filters and goal tracking
- Execution engine with retries and idempotency
Phase 2 — Optimization (Next)
AI Optimization Loops
- Multi‑armed bandit for subject/content variants
- Auto‑segmentation based on behavior and recency‑frequency‑monetary (RFM) signals
- Automatic holdout groups and uplift measurement
- Content linting (spam terms, broken links, image/text ratio)
Builder Enhancements
- Branching by attributes (segment, tag, lifecycle stage)
- Reusable subflows and templates
- Real‑time run view (per‑node throughput, failures, dwell time)
- Rollback and one‑click clone to new version
Phase 3 — Autonomy (Planned)
AI Agents
- Goal‑based campaigns (e.g., “increase trial activations by 10%”)
- Continuous learning from cohort outcomes
- Anomaly detection (deliverability, bounce spikes, blocklists)
- Smart throttling across providers to protect reputation
Builder at Scale
- Multi‑workspace libraries with permissions
- Programmatic flow APIs + import/export (JSON)
- Canary launches and staged rollouts
- Cross‑channel hooks (webhooks to SMS/CRM/ads)
Technical Notes
- Privacy: opt‑in usage analytics; redact PII before model prompts
- Safety: rate limits, circuit breakers, and guardrails on AI actions
- Observability: per‑variant metrics with confidence intervals
- Extensibility: provider‑agnostic interfaces for LLMs and SMTP
How to Influence the Roadmap
We prioritize roadmap items that clearly improve outcomes (opens, clicks, activations) while preserving privacy and reliability.