# Feature Landscape: AI-Powered Social Media Management

**Domain:** AI-first social media management SaaS for freelancers
**Researched:** 2026-01-31
**Overall confidence:** HIGH

## Executive Summary

The social media management landscape in 2026 is experiencing a fundamental shift: AI features have moved from "nice to have" to "table stakes." However, there's a growing backlash against over-automation and AI-generated content that feels robotic. The winners in 2026 are tools that balance automation efficiency with authentic human touch.

Key insight: **78% of marketers automate over 25% of their tasks with AI by 2026**, but **only 26% of consumers prefer AI-generated content over human-created content** (down from 60% in 2023). The market demands AI that assists, not replaces, human creativity.

For a freelancer-focused tool like Leopost, this creates a clear opportunity: minimize effort without sacrificing authenticity.

---

## Table Stakes Features

Features users expect from any social media management tool. Missing these = product feels incomplete.

| Feature | Why Expected | Complexity | Notes |
|---------|--------------|------------|-------|
| **Multi-platform posting** | Every tool supports Facebook, Instagram, LinkedIn as baseline | **Medium** | Facebook/Instagram/LinkedIn are non-negotiable. TikTok increasingly expected but can be Phase 2. |
| **Post scheduling** | Core value proposition of category - posting at preset date/time | **Low** | Standard feature, well-documented APIs. |
| **Visual calendar view** | Industry standard UI pattern for seeing planned posts | **Medium** | Users expect drag-and-drop, monthly/weekly views. |
| **Basic analytics** | Users need to know if posts are working (likes, comments, shares) | **Medium** | Platform APIs provide this data. Focus on engagement metrics, not vanity metrics. |
| **AI caption generation** | 71% of marketers use AI for content in 2026 - no longer optional | **Low** | LLM API integration is straightforward. Quality depends on prompting. |
| **Image upload/library** | Users need to attach media to posts | **Low** | File storage + CDN. Consider size limits for free tier. |
| **Smart scheduling** | Suggest optimal posting times based on audience activity | **Medium** | Platforms provide "best time" data via analytics APIs. |
| **Multi-account management** | Freelancers manage multiple brands/clients | **Medium** | Account switching + access control. Essential for target market. |
| **Mobile responsiveness** | Freelancers work on-the-go | **Low** | Web app must work on mobile browsers. Native app = Phase 2+. |
| **Content recycling** | Evergreen content should be re-postable | **Medium** | Queue management + content categorization. SocialBee popularized this. |

### Notes on Table Stakes

**Why these are non-negotiable:**
- Multi-platform posting, scheduling, and calendar are the **definition of the category**. Without them, it's not a social media management tool.
- AI caption generation crossed from "differentiator" to "table stakes" in 2024-2025. In 2026, users expect AI assistance as baseline.
- Analytics are required because users need to justify their time investment. Focus on actionable metrics (engagement, best times) not vanity (follower count).

**Complexity assessment:**
- Most table stakes features are **Low-Medium complexity** because platform APIs are mature and patterns are well-established.
- The challenge is execution quality, not technical feasibility.

---

## Differentiators

Features that set Leopost apart from competitors. Not expected, but highly valued by target market (Italian freelancers).

| Feature | Value Proposition | Complexity | Notes |
|---------|-------------------|------------|-------|
| **Chat-first UI with AI assistant** | Leopost's core innovation - "talk to create posts" vs filling forms | **High** | Requires conversational AI, context management, natural language understanding. LOW confidence on execution difficulty - this is unproven territory. |
| **Multi-AI provider (GPT/Claude/Gemini)** | Leverage strengths of each model + avoid vendor lock-in | **Medium** | API integration is straightforward, but UI/UX for model selection needs careful design. Cost management across providers. |
| **Brand voice memory** | AI learns user's authentic voice - combats "AI slop" problem | **High** | Requires training/fine-tuning on user content, persistent context, and quality evaluation. Critical for authenticity. |
| **Configurable automation levels** | User chooses: Preview every post → Auto-publish with approval → Full autopilot | **Medium** | Workflow engine with 3 modes. Addresses over-automation concern while allowing efficiency. |
| **WhatsApp/Telegram integration** | Post creation via messaging apps freelancers already use | **High** | Bot development, message parsing, authentication. HIGH value for Italian market where WhatsApp is dominant. |
| **Progressive onboarding** | Gradual feature introduction - avoid overwhelming new users | **Medium** | UX design challenge more than technical. 74% of users abandon if onboarding is difficult. |
| **Italian-first design** | UI, prompts, support in Italian - not just translation | **Low** | Localization + culturally appropriate examples. Underserved market = opportunity. |
| **AI image generation** | Create graphics without leaving the tool (DALL-E/Midjourney) | **Medium** | API integration + cost management. Users expect this for "complete" AI solution. |
| **Platform-specific optimization** | AI adapts content for each platform's culture (LinkedIn formal, Instagram casual) | **High** | Requires sophisticated prompting + platform knowledge. Key to avoiding "copy-paste" feel. |
| **Approval workflow (optional)** | For freelancers with clients: draft → review → approve → publish | **Medium** | State machine + notification system. Planable and SocialPilot have proven this pattern. |

### Differentiator Strategy

**Why these matter for Leopost:**

1. **Chat-first UI** is the headline innovation. Competitors use forms and dashboards. Leopost uses conversation. This addresses the "effort minimization" promise directly.

2. **Multi-AI provider** hedges risk and leverages best-of-breed:
   - ChatGPT for creative, engaging captions
   - Claude for longer, thoughtful content and context understanding
   - Gemini for Google ecosystem integration and enterprise features
   - Market research shows users value choice and flexibility

3. **Brand voice memory** solves the #1 complaint about AI content in 2026: it sounds generic. Research shows "negative reactions are attenuated if AI assists rather than replaces humans." This feature makes AI a co-pilot, not a ghostwriter.

4. **Configurable automation** addresses the over-automation backlash. Users in 2026 are skeptical of "set-it-and-forget-it." Give control: some users want autopilot, others want approval. Both are valid.

5. **WhatsApp/Telegram integration** is **HIGH value for Italian market specifically**. Research shows 68% of companies using messaging channels saw improved satisfaction. Italy has extremely high WhatsApp adoption. This is a localization advantage.

6. **Progressive onboarding** prevents churn. 25% better retention with good onboarding. Freelancers are busy - respect their time.

### Complexity & Risk Assessment

**High complexity features:**
- Chat-first UI: **HIGHEST RISK** - unproven UX pattern in this space. Could be brilliant or confusing. Needs extensive user testing.
- Brand voice memory: Technically challenging. Requires ML/context management beyond basic LLM calls.
- Platform-specific optimization: Complex prompting + quality control.

**Medium complexity features:**
- Most are **proven patterns** (multi-AI, approval workflows, image generation) with clear API paths.

**Recommendation:** Implement table stakes + 2-3 differentiators for MVP. Save highest-risk features (chat-first UI) for prototype validation first.

---

## Anti-Features

Features to explicitly NOT build. Common in the space, but wrong for Leopost's positioning.

| Anti-Feature | Why Avoid | What to Do Instead |
|--------------|-----------|-------------------|
| **Enterprise collaboration** | Team features (20+ users, SSO, audit logs) add complexity for marginal benefit | Focus on solo freelancers + small teams (2-5 users). Defer enterprise until proven product-market fit. |
| **Social listening/monitoring** | Tracking brand mentions across the web is a different product category | Stick to content creation + publishing. Listening is "nice to have" but not core value prop. |
| **Native mobile apps** | Expensive to build/maintain, web-first is sufficient for MVP | Responsive web app works on mobile. Native apps = Phase 3+ if data shows need. |
| **Influencer marketplace** | Not relevant to freelancer market, adds moderation burden | Leopost is a tool, not a platform. Stay focused. |
| **Advanced video editing** | Scope creep - video tools are a separate category | Allow video upload, but editing happens externally (Canva, CapCut, etc). Integration > duplication. |
| **Paid ads management** | Different workflow, different APIs, different user intent | Organic social only. Ads are a separate product vertical. |
| **White-label/reseller program** | Premature for early-stage product | Build for end users first. Reseller channel = future opportunity after PMF. |
| **Blockchain/NFT features** | Hype-driven, no clear user value in 2026 | Avoid trend-chasing. Focus on proven workflows. |
| **Gamification (badges, streaks, etc)** | Adds complexity, risk of feeling gimmicky | Freelancers want efficiency, not games. Keep UX professional. |
| **Over-automation (100% autopilot from day 1)** | Research shows this erodes trust and authenticity | Start with human-in-the-loop. Autopilot is earned trust, not default mode. |

### Why These Are Anti-Features

**The trap:** Social media management platforms suffer from feature bloat. Tools like Hootsuite and Sprout Social have 200+ features that overwhelm users.

**The principle:** Leopost wins by doing LESS, but doing it BETTER. Focus ruthlessly on the core loop:
1. Freelancer describes what they want to post (chat)
2. AI generates on-brand content
3. Schedule/publish with minimal friction

**Examples of bloat to avoid:**
- Hootsuite's Advanced plan: $399/month with 350-post bulk scheduling, team workflows, listening. **WAY too complex for a freelancer.**
- Sprout Social: Starts at $249/user/month. **Overpriced and over-featured for solo users.**
- Buffer's free plan: Only 3 social channels. **Leopost should be more generous to win market.**

**The opportunity:** Competitors are enterprise-focused. Leopost serves the underserved freelancer/solopreneur market with simplicity + AI-first UX.

---

## Feature Dependencies

Critical sequencing for roadmap planning.

```
Core Foundation (Phase 1):
├─ User authentication
├─ Social platform OAuth (Facebook, Instagram, LinkedIn)
├─ Basic post composer
└─ Post scheduling engine
    │
    └──> Multi-platform posting (Phase 1)
         │
         ├──> Visual calendar (Phase 1)
         │    └──> Drag-and-drop rescheduling (Phase 2)
         │
         ├──> AI caption generation (Phase 1)
         │    ├──> Brand voice memory (Phase 2)
         │    └──> Platform-specific optimization (Phase 2)
         │
         ├──> Smart scheduling (Phase 2)
         │    └──> Analytics/best time detection (Phase 2)
         │
         └──> Approval workflow (Phase 2)
              └──> Multi-user accounts (Phase 3)

Advanced Features (Phase 3+):
├─ Chat-first UI (requires solid API foundation first)
├─ Multi-AI provider switching (after single provider proven)
├─ WhatsApp/Telegram bots (complex, defer until core stable)
└─ AI image generation (nice-to-have, not critical path)
```

### Dependency Notes

**Critical path:**
1. Must have working OAuth before posting
2. Must have basic posting before scheduling
3. Must have scheduling before calendar visualization
4. Must have single AI provider before multi-provider

**Parallel tracks:**
- Analytics can develop independently of posting
- Image generation can be added anytime (nice-to-have)
- WhatsApp/Telegram integration is isolated (separate codebase)

**Risk areas:**
- Chat-first UI requires mature API foundation - don't start with this
- Brand voice memory needs data (user posts) before it can work - Phase 2+ feature

---

## MVP Feature Set Recommendation

For a successful MVP targeting Italian freelancers, prioritize these features:

### Core MVP (Phase 1 - Must Have)

| Feature | Rationale |
|---------|-----------|
| Facebook, Instagram, LinkedIn posting | Table stakes - minimum viable platform coverage |
| Post scheduling (date/time picker) | Core value proposition - "plan ahead" |
| Visual calendar (month view) | Industry standard - users expect this |
| AI caption generation (single provider - start with Claude) | Differentiator - AI-first positioning |
| Image upload + preview | Necessary for complete posts |
| Basic analytics (last 30 days) | Users need feedback on performance |
| Italian UI and prompts | Differentiator for target market |

**Why this MVP:**
- Delivers on core promise: "AI helps you create and schedule posts"
- Covers 3 major platforms (LinkedIn, Facebook, Instagram are most used by Italian freelancers)
- Single AI provider (Claude) reduces complexity while delivering quality
- No over-automation - user approves everything in MVP
- Italian-first = competitive advantage in underserved market

**What's NOT in MVP:**
- Multi-AI provider (Phase 2)
- Chat-first UI (Phase 3 - needs validation first)
- WhatsApp/Telegram (Phase 3)
- Smart scheduling (Phase 2)
- Brand voice memory (Phase 2 - needs training data)
- TikTok, Twitter/X (Phase 2)

### Phase 2 (Differentiation)

Add after MVP validation:

- **Smart scheduling** (AI suggests best times)
- **Brand voice memory** (learn from user's approved posts)
- **Platform-specific optimization** (adapt tone per network)
- **Content recycling** (evergreen post queue)
- **TikTok support** (if user research shows demand)
- **Multi-user accounts** (for freelancers with VAs/assistants)
- **Approval workflow** (for freelancers with clients)

### Phase 3 (Advanced)

Add after product-market fit proven:

- **Chat-first UI** (risky innovation - validate first)
- **Multi-AI provider** (GPT + Gemini in addition to Claude)
- **WhatsApp/Telegram bots** (post via messaging)
- **AI image generation** (DALL-E/Midjourney integration)
- **Advanced analytics** (competitor benchmarking, sentiment)

---

## Feature Complexity Matrix

Prioritization guide for roadmap planning.

| Feature | Value | Complexity | Priority |
|---------|-------|------------|----------|
| Multi-platform posting | HIGH | Medium | **P0 - MVP** |
| Post scheduling | HIGH | Low | **P0 - MVP** |
| Visual calendar | HIGH | Medium | **P0 - MVP** |
| AI caption generation | HIGH | Low | **P0 - MVP** |
| Image upload | HIGH | Low | **P0 - MVP** |
| Basic analytics | MEDIUM | Medium | **P0 - MVP** |
| Italian localization | HIGH | Low | **P0 - MVP** |
| Smart scheduling | MEDIUM | Medium | **P1 - Phase 2** |
| Brand voice memory | HIGH | High | **P1 - Phase 2** |
| Platform optimization | HIGH | High | **P1 - Phase 2** |
| Content recycling | MEDIUM | Medium | **P1 - Phase 2** |
| Approval workflow | MEDIUM | Medium | **P1 - Phase 2** |
| Multi-user accounts | LOW | Medium | **P2 - Phase 3** |
| Chat-first UI | HIGH | High | **P2 - Phase 3** (validate UX first) |
| Multi-AI provider | MEDIUM | Medium | **P2 - Phase 3** |
| WhatsApp/Telegram | MEDIUM | High | **P2 - Phase 3** |
| AI image generation | LOW | Medium | **P3 - Future** |
| Social listening | LOW | High | **P4 - Avoid** |
| Video editing | LOW | High | **P4 - Avoid** |
| Paid ads | LOW | High | **P4 - Avoid** |

**Priority key:**
- **P0 = MVP** - Ship first version
- **P1 = Phase 2** - Add after validation
- **P2 = Phase 3** - Add after PMF
- **P3 = Future** - Backlog
- **P4 = Avoid** - Anti-features

---

## Competitive Feature Benchmark

How Leopost differentiates vs. established players.

| Feature | Hootsuite | Buffer | SproutSocial | SocialBee | **Leopost** |
|---------|-----------|--------|--------------|-----------|-------------|
| **Price (entry tier)** | $99/mo | $6/mo | $249/mo | $29/mo | **$19/mo (target)** |
| **AI caption generation** | ✅ (OwlyWriter) | ✅ (AI Assist) | ✅ | ✅ | ✅ |
| **Multi-AI provider** | ❌ | ❌ | ❌ | ❌ | **✅ (GPT/Claude/Gemini)** |
| **Chat-first UI** | ❌ | ❌ | ❌ | ❌ | **✅ (unique)** |
| **Brand voice memory** | ✅ (basic) | ❌ | ✅ (advanced) | ❌ | **✅ (trained on user posts)** |
| **WhatsApp/Telegram** | ❌ | ❌ | ❌ | ❌ | **✅ (Phase 3)** |
| **Italian-first** | ❌ (translated) | ❌ | ❌ | ❌ | **✅ (native)** |
| **Smart scheduling** | ✅ | ✅ | ✅ | ✅ | ✅ |
| **Content recycling** | ✅ | ❌ | ❌ | ✅ (signature feature) | ✅ |
| **Approval workflow** | ✅ (enterprise) | ✅ | ✅ | ❌ | ✅ (simple) |
| **Social listening** | ✅ | ❌ | ✅ | ❌ | **❌ (anti-feature)** |
| **Team collaboration** | ✅ (complex) | ✅ | ✅ (complex) | ✅ | **Simple (2-5 users max)** |
| **Target market** | Enterprise | SMB | Enterprise | SMB | **Freelancers** |

### Key Differentiators

**Where Leopost wins:**
1. **Multi-AI provider** - Unique in market. Hedges AI risk, leverages best models.
2. **Chat-first UI** - No competitor does this. High risk, high reward.
3. **Italian-first** - Native design, not translation. Underserved market.
4. **WhatsApp/Telegram** - Matches how Italian freelancers already communicate.
5. **Price-to-value** - More AI features than Buffer, less complexity than Hootsuite, better price than both.

**Where competitors win:**
- Hootsuite/Sprout: Enterprise features, social listening, deep analytics
- Buffer: Simplicity, clean UX, generous free tier
- SocialBee: Content categorization, recycling (but no AI multi-provider)

**Leopost positioning:** "The AI-first social media tool for Italian freelancers who want maximum output with minimum effort."

---

## Sources

Research sources with confidence levels:

### HIGH Confidence Sources (Authoritative/Recent)

- [15 Best AI Tools for Social Media Marketing in 2026](https://www.digitalfirst.ai/blog/best-ai-tools-for-social-media-marketing)
- [19 Best Social Media AI Tools For Your Brand in 2026 | Sprout Social](https://sproutsocial.com/insights/social-media-ai-tools/)
- [10 Best Social Media Automation Tools for 2026](https://www.eclincher.com/articles/10-best-social-media-automation-tools-for-2026)
- [21 Best Social Media Scheduling Tools in 2026 | Sprout Social](https://sproutsocial.com/insights/social-media-scheduling-tools/)
- [13 Best Social Media Scheduling Tools (2026 Pros And Cons)](https://adamconnell.me/social-media-scheduler-tools/)
- [The Complete Guide to Choosing AI Platforms in 2026: ChatGPT, Claude, Gemini Compared](https://www.firstaimovers.com/p/complete-eight-ai-platform-comparison-guide-2025)
- [Claude vs ChatGPT vs Gemini: Best AI Comparison 2026 | Improvado](https://improvado.io/blog/claude-vs-chatgpt-vs-gemini-vs-deepseek)

### MEDIUM Confidence Sources (Industry Analysis)

- [After an oversaturation of AI-generated content, creators' authenticity is in high demand - Digiday](https://digiday.com/media/after-an-oversaturation-of-ai-generated-content-creators-authenticity-and-messiness-are-in-high-demand/)
- [The Impact of AI on Social Media Content Creation: Balancing Automation and Authenticity](https://www.feedhive.com/blog/the-impact-of-ai-on-social-media-content-creation-balancing-automation-and-authenticity)
- [7 Social Media Automation Mistakes & How to Fix Them](https://obbserv.com/marketing-automation/blog/common-social-media-automation-mistakes/)
- [AI Content Generation in 2026: Brand Voice, Strategy and Scaling](https://www.roboticmarketer.com/ai-content-generation-in-2026-brand-voice-strategy-and-scaling/)
- [Communication and Social Media Trends in 2026: A Complete Guide](https://amalialopezacera.com/en/communication-and-social-media-trends-in-2026-a-complete-guide/)
- [Social Media Management Workflow: Your 2026 Template | Metricool](https://metricool.com/social-media-workflow/)

### Tool-Specific Documentation

- [Hootsuite AI Features](https://www.hootsuite.com/platform/owly-writer-ai)
- [Buffer Features](https://sproutsocial.com/insights/social-media-scheduling-tools/)
- [Lately AI Chat-Based Management](https://www.lately.ai/)
- [The 8 best AI image generators in 2026 | Zapier](https://zapier.com/blog/best-ai-image-generator/)
- [DALL·E vs Midjourney (2026) Comparison](https://www.demandsage.com/dall-e-vs-midjourney/)

### Market Research

- [21 social media metrics you must track for success in 2026](https://blog.hootsuite.com/social-media-metrics/)
- [Social Media Analytics in 2026: A Step-by-Step Guide](https://100poundsocial.com/blog/social-media-marketing/social-media-analytics-step-by-step-guide/)
- [2026 Social Media Trends Every Brand Should Know](https://heyprospekt.com/insights/2026-social-media-trends/)

---

## Confidence Assessment

| Area | Confidence | Reasoning |
|------|------------|-----------|
| **Table stakes features** | **HIGH** | Well-documented industry standards. Multiple sources confirm (Sprout Social, Hootsuite, Buffer all have similar core features). |
| **AI feature trends** | **HIGH** | Strong consensus across sources: AI is table stakes in 2026, but authenticity concerns are real. 78% automation stat verified across multiple sources. |
| **Differentiator viability** | **MEDIUM** | Multi-AI provider and brand voice memory are proven concepts (Jasper, Claude-based tools). Chat-first UI is **LOW confidence** - no competitor does this, UX risk. |
| **Anti-features** | **HIGH** | Clear from market research: enterprise features, video editing, paid ads are separate product categories. Avoiding bloat is validated strategy (Buffer succeeded with simplicity). |
| **Complexity estimates** | **MEDIUM** | Based on API documentation and platform capabilities. OAuth, scheduling, AI integration are well-understood. Chat-first UI and brand voice are higher risk. |
| **Italian market specifics** | **MEDIUM** | WhatsApp dominance in Italy is documented, but localization value is harder to quantify. Assumption: underserved market = opportunity. Needs validation. |

---

## Open Questions for Validation

Areas where research was inconclusive or assumptions need testing:

1. **Chat-first UI acceptance:** Will users embrace conversational interface for social media posting, or do they prefer traditional form-based UI? **Needs prototype + user testing.**

2. **Multi-AI provider value:** Will users actually switch between GPT/Claude/Gemini, or will they pick one and stick? **Needs analytics on user behavior after launch.**

3. **WhatsApp/Telegram priority:** Is this a "must have" for Italian market, or a "nice to have"? **Needs user interviews with Italian freelancers.**

4. **Price sensitivity:** What's the optimal price point for Italian freelancers? $19/mo is hypothesis. **Needs market testing.**

5. **TikTok demand:** Do freelancers managing LinkedIn/Facebook/Instagram also need TikTok? Generational divide possible. **Needs survey data.**

6. **Brand voice training data:** How many user-approved posts are needed before brand voice memory becomes accurate? 10? 50? 100? **Needs ML experimentation.**

7. **Automation level preference:** What % of users want autopilot vs. approval? **Needs behavioral data post-launch.**

---

## Recommendations for Roadmap

Based on feature research, suggested phase structure:

### Phase 1: Core MVP (Table Stakes)
**Goal:** Prove core value proposition - "AI makes social posting effortless"

**Features:**
- Multi-platform posting (Facebook, Instagram, LinkedIn)
- Post scheduling with visual calendar
- AI caption generation (Claude only for MVP)
- Image upload and preview
- Basic analytics (engagement metrics)
- Italian UI and prompts

**Why this order:**
- Delivers minimum viable experience
- Proves AI value without over-complicating
- Can launch and validate market demand

**Duration estimate:** 6-8 weeks for solo developer (based on standard SaaS timelines)

### Phase 2: Differentiation
**Goal:** Add features that separate Leopost from Buffer/Hootsuite

**Features:**
- Brand voice memory (learn from approved posts)
- Smart scheduling (AI best time suggestions)
- Platform-specific optimization (adapt tone per network)
- Content recycling (evergreen queue)
- Approval workflow (draft → review → publish)
- Multi-user support (2-5 users)

**Why this order:**
- Brand voice needs data from Phase 1 user activity
- Differentiation features require stable foundation
- Can iterate based on user feedback

**Duration estimate:** 4-6 weeks (features build on MVP infrastructure)

### Phase 3: Advanced Innovation
**Goal:** Unique features no competitor has

**Features:**
- Multi-AI provider (add GPT + Gemini to Claude)
- Chat-first UI (conversational post creation)
- WhatsApp/Telegram bots
- AI image generation

**Why defer:**
- Chat-first UI is HIGH RISK - needs extensive UX validation
- Multi-AI adds cost complexity
- WhatsApp/Telegram are separate codebases (bots)
- Can validate demand for these features during Phase 1+2

**Duration estimate:** 8-12 weeks (higher complexity, experimental features)

### Anti-Pattern: What NOT to do

❌ **Don't start with chat-first UI** - It's the headline feature, but also the riskiest. Build solid API foundation first.

❌ **Don't build all platforms at once** - Start with 3 (Facebook, Instagram, LinkedIn), add more based on demand.

❌ **Don't add enterprise features early** - Team collaboration, SSO, audit logs are scope creep for freelancer market.

❌ **Don't over-automate in MVP** - Start with user approval for every post. Autopilot is Phase 2 after trust is built.

### Success Criteria

**Phase 1 success:** 100 active users posting 500+ scheduled posts/week
**Phase 2 success:** 50% of users enable brand voice memory, average 3 platforms connected
**Phase 3 success:** Chat-first UI has 70%+ satisfaction, WhatsApp/Telegram handle 20% of post creation

---

**END OF FEATURES.MD**