#product

JustSext growth plan for Eric: goal, current funnel, constraints, projects, funnel targets, partner price ceilings and three scenarios. Data Aug 22 – Sep 20, 2026.

Three-tier voice-caller UXR (registered non-subscriber vs. subscriber, non-registration as a rare edge case) — Executive Summary with North Star & Top 3 Ranked Bets, Segment Behaviour Breakdown, Deeper Segmentation with 7-way modality taxonomy and named segments, Token-Warning & Retention.

Qualitative + quantitative segmentation of D2C "-Web" voice callers, now expanded with a RICE-scored Product Roadmap (Now/Next/Later, owned by Design/FE/BE/AI-ML) and a Cross-Functional Research Agenda (gaps a prompt engineer, data scientist, UX researcher, consumer researcher, and voice-AI engineer would each flag), on top of first-time vs returning behavior, the Whale/Returner Archetype, and the Token-Warning & Retention finding that hitting zero tokens is a 1.1%-return churn event.

Third-party audit of the Free Join → First Purchase journey: 5 friction findings, 18 recommendations, P0–P3 priority map, north-star KPI + supporting metrics, next steps, and 12 hypotheses to validate (GTM-2609).

"- Web" agents should run on two messages only — silent-pause and explicit re-up. Both underperform (62.3% / 3.7% compliance), the re-up warning's timing is inconsistent (6-98s before call end), and a lander-only message is leaking onto 2 agents that shouldn't have it.

Roster media-network model: account architecture, 12 content pillars, weekly grid, factory standards, 4-week test plan. Basis: GTM-2490 + trend/competitor research Aug 2026.

Fleet-wide before/after review across all 34 "- Web" agents: false-positive rate on end_call collapsed from 68.9% to 11.6% around Jul 1-2 2026; "prolonged silence" false positives went from 266 to zero.

Content-and-behavior analysis of 153 VoiceLander demo calls: topic mix, the strengthening photo-reveal engagement signal, the persisting (and evolving) end_call fabrication issue, and a new finding on internal team QA chatter appearing in production conversation data.

Complete funnel analysis of the Sophie Dee VoiceLander demo: ad → lander → call → registration wall → registration → purchase, combining ElevenLabs conversation data with backend BigQuery events (d2c_prod). Resolves the earlier open questions on the photo-reveal mechanic and the 4-photos gate threshold.

PRD for the first Lure prototype: a believable reactive live video call (Sophie Dee) modeled on Candy.ai but reactive, voice-first (no chat), on-page register+buy, no-exit, multi-creator selector, self-cam. Experience-first v1 with fast-tracked live EL voice.

Code-grounded implementation+product spec for the voice demo lander: live feature spec, real providers (ElevenLabs voice, OpenPay, Cognito Google auth), video-first content on Sophie Dee (live + non-live), multi-variant design direction (casino + clean), reuse map, decisions, blockers, build sequence.

Config-driven voice demo lander for hand-testing: flip Lean-3 / Core-5 / Full-7 / Photo-led shapes, gate type, upsell timing & photo price live. Full answer→gate→register→paywall flow with GTM-2182 funnel events.

145 agent-initiated hang-ups in the inappropriate/unclear buckets, sub-categorized with suggested true/false-positive verdicts for human review; includes recommendations.

Why calls end across all agents, plus categorized agent-initiated end_call reasons with verbatim examples, recommendations, and prioritized next steps. (Excludes the max-duration artifact and quota-limit rejections.)

Deterministic analysis of all calls: termination distribution, time-to-end, per-agent profiles, the 'user silent' trailing-silence review, bounce stats, plus recommendations & prioritized next steps. (Excludes the historical max-duration artifact and account quota-limit rejections.)

A one-page visual of the Creative Engine: the self-improving ad-creative loop and the systems behind it.

Interactive pricing page prototype: subscribed/unsubscribed states and tiered plans bundling images + voice minutes (+5/$8wk, +30/$22, +500/$125). The longer you stay, the more images and minutes you get.

Sprint-by-sprint plan for the AI & ML team (owner: Aloukik). Covers North Star, charts, 9 sprints, backlog, and operating principles — prompt versioning, LoRA settings, Fal.ai cold starts, GCP cost breakdowns.

From one Slack mention to a shipped dashboard in ~5 minutes (down from 46). 8 specialized agents on Anthropic Managed Agents + Vercel + Slack + Metabase. Includes sequence diagrams, agent breakdown, and what's next.

Four areas, one loop: LLM-driven escalation engine backed by image, voice, and video. Sprint focus, project cards (Eros, Pygmalion, Calliope, Dionysus), end-state flowcharts, and open priority questions.

Interactive voice-call UX prototype: orb interaction, heat meter, combo streaks, photo unlock spinner, paywall flow.