Multi Agent Orchestrator

Marketing Multi-Agent Orchestrator

Coordinate specialized AI agents to accomplish complex marketing workflows that would overwhelm a single agent. Pattern: one person directing a team of intelligent marketing specialists.

Core Architecture

┌─────────────────────────────────────────────────────────────────┐
│                     MARKETING TEAM LEAD                         │
│  • Loads context (voice, product, story, constraints)           │
│  • Decomposes campaign → subtasks                               │
│  • Assigns agents, monitors progress                            │
└─────────────────┬───────────────────────────────────────────────┘
                  │
    ┌─────────────┼─────────────┐
    ▼             ▼             ▼
┌───────┐   ┌───────┐     ┌───────┐
│RESEARCH│   │RESEARCH│     │  ...  │  ← Parallel market research
│Agent 1 │   │Agent 2 │     │       │
└───┬────┘   └───┬────┘     └───────┘
    │            │
    └─────┬──────┘
          ▼
    ┌───────────┐
    │CONTENT LEAD│  ← Synthesizes research, briefs copywriters
    └─────┬─────┘
          │
    ┌─────┼─────┐
    ▼     ▼     ▼
┌─────┐┌─────┐┌─────┐
│COPY ││COPY ││COPY │  ← Platform-specific copywriters
│  1  ││  2  ││  3  │
└──┬──┘└──┬──┘└──┬──┘
   └──────┼──────┘
          ▼
    ┌───────────┐
    │REVIEW HUB │  ← Human approval gate (REQUIRED)
    └─────┬─────┘
          ▼
    ┌───────────┐
    │ EXECUTION │  ← Browser agents, schedulers, follow-up
    └───────────┘

When to Use This Skill

• Outbound lead generation campaigns — Finding and engaging prospects across platforms
• Multi-platform content launches — Coordinated messaging across Reddit, LinkedIn, Twitter, etc.
• Research-to-content pipelines — Market research → insights → platform-native content
• Personalized outreach at scale — Email sequences, DM campaigns, comment strategies
• Brand awareness blitzes — Rapid, coordinated presence building

Workflow Execution

Phase 1: Context Loading

Marketing Team Lead immediately gathers:

1. Voice Profile — Tone, vocabulary, personality markers, brand guidelines
2. Product/Service Brief — What you're selling, key differentiators, pricing
3. Target Persona — ICP details, pain points, where they hang out online
4. Story Arc — Founder journey, credibility signals, social proof, case studies
5. Constraints — Platforms, budget, timeline, compliance rules, no-go topics

## Context Checklist

- [ ] Voice profile loaded (tone, vocabulary, do's/don'ts)
- [ ] Product brief reviewed (features, benefits, differentiators)
- [ ] Target persona defined (demographics, psychographics, platforms)
- [ ] Story elements ready (founder story, testimonials, proof points)
- [ ] Constraints documented (platforms, budget, compliance)

Phase 2: Campaign Decomposition

Break user request into parallel-executable subtasks:

User: "Get me leads from Reddit and LinkedIn"
     ↓
Subtasks:
  [Research-Reddit] → Find relevant posts via API/browse
  [Research-LinkedIn] → Browse for matching discussions
  [Synthesize] → Combine findings, dedupe, prioritize
  [Create-Reddit] → Draft Reddit-native comments
  [Create-LinkedIn] → Draft LinkedIn-native comments
  [Review] → Human approval checkpoint
  [Execute] → Post with natural timing
  [Monitor] → Track responses, escalate replies

Phase 3: Agent Assignment

Each subtask maps to a specialist role:

Key principle: Specialists don't multitask. One agent = one job.

Phase 4: Research Execution

Research agents operate in parallel:

Reddit Scout:

• Search keywords in target subreddits
• Filter by recency, engagement, relevance
• Flag posts where authentic engagement makes sense
• Note community rules and norms

LinkedIn Scout:

• Browse industry hashtags and topics
• Identify high-engagement posts from non-competitors
• Find prospects matching ICP
• Note connection opportunities

Output format:

## Research Finding

**Platform**: Reddit
**Location**: r/startups
**Post**: "How I got my first 10 customers"
**Engagement**: 47 comments, 234 upvotes
**Relevance**: HIGH — discusses exact pain point we solve
**Angle**: Share relevant insight, mention similar experience
**Risk**: LOW — genuine value-add opportunity

Phase 5: Content Lead Synthesis

Content Lead does NOT write final content. Instead:

1. Synthesizes research into actionable briefs
2. Identifies platform-specific requirements
3. Creates detailed specs for each copywriter
4. Maintains brand voice consistency across outputs

Brief format:

## Content Brief: Reddit Comment

**Target**: r/startups post about first customers
**Goal**: Add value, build credibility, soft brand mention
**Angle**: Share a specific tactic that worked for us
**Voice**: Casual, helpful, founder-to-founder
**Length**: 2-3 paragraphs max
**CTA**: None explicit — just be helpful
**Avoid**: Self-promotion smell, link dropping, sales pitch

Phase 6: Specialist Execution

Platform specialists receive briefs and produce drafts:

Reddit Copywriter:

• Conversational, community-native tone
• Avoids self-promo smell (critical for Reddit)
• Adds genuine value before any mention
• Respects subreddit culture

LinkedIn Copywriter:

• Professional but not corporate
• Credibility-forward (stats, results, experience)
• Hook-driven opening
• Clear value proposition

Twitter Copywriter:

• Punchy, thread-aware
• Hashtag-strategic (not hashtag-spam)
• Quote-tweet friendly
• Engagement-optimized

Email Copywriter:

• Personalized opening (research-based)
• Clear, single CTA
• Spam-filter-aware language
• Follow-up sequence ready

Phase 7: Review Hub (REQUIRED Human-in-the-Loop)

Critical gate before ANY external action.

Present to user:

1. All generated content with source context
2. Target destinations (specific posts, profiles, emails)
3. Proposed timing/schedule
4. One-click approve/edit/reject per item

## Review Queue

### Item 1: Reddit Comment

**Target**: r/startups — "How I got my first 10 customers"
**Draft**:

> Great breakdown! We had a similar experience with our first 10.
> What worked for us was [specific tactic]. The key insight was
> [value-add]. Happy to share more details if helpful.

**Timing**: Today, 2:34 PM (3 hours from now)
**Status**: ⏳ Awaiting approval

[✓ Approve] [✏️ Edit] [✗ Reject]

---

### Item 2: LinkedIn Comment

**Target**: Jane Doe's post on B2B sales
**Draft**:

> This resonates. We saw a 40% increase in response rates when
> we shifted from [old approach] to [new approach]. The data
> backed what you're saying here.

**Timing**: Tomorrow, 9:15 AM
**Status**: ⏳ Awaiting approval

[✓ Approve] [✏️ Edit] [✗ Reject]

Phase 8: Execution Layer

After approval, execution agents:

1. Post content at staggered, natural intervals
2. Send messages / connection requests
3. Monitor for replies → escalate to user immediately
4. Track engagement metrics
5. Report daily summary

Timing rules (critical for not looking like a bot):

• 3-15 minute random intervals between actions
• Respect platform rate limits strictly
• Pause during off-hours (user's timezone)
• Vary posting times across days
• Never bulk-post

Safety & Compliance Rules

1. Never auto-execute — All external actions require human approval
2. Rate limit respect — Agents must honor platform limits (hard requirement)
3. Identity disclosure — Don't claim to be human when asked directly
4. Privacy boundaries — No scraping private data without consent
5. Compliance hooks — Flag potential legal/regulatory issues before execution
6. No spam — Quality over quantity, always
7. Authentic value — Every interaction must genuinely help the recipient

Quick Start: Lead Gen Campaign

# 1. Load context
Team Lead reads: voice profile, product brief, target persona

# 2. Spin up research agents (parallel)
Reddit Scout: Search [keywords] in [subreddits], last 7 days, min 10 engagement
LinkedIn Scout: Browse [industry] posts, engagement > 50, last 7 days

# 3. Synthesize findings
Content Lead produces briefs for top 15 opportunities

# 4. Generate content (parallel)
Reddit Copywriter: Draft comments for 8 Reddit opportunities
LinkedIn Copywriter: Draft comments for 7 LinkedIn opportunities

# 5. Review (REQUIRED)
Present all 15 drafts in review hub
User approves 12, edits 2, rejects 1

# 6. Execute
Execution agents post 14 approved items over 2 days
Natural timing: 3-15 min random intervals
Pause overnight

# 7. Monitor & Report
Track engagement, escalate replies immediately
Daily summary: 14 posted, 3 replies, 2 profile views

MCP Integration Points

For external services, create MCP servers:

Metrics to Track

Anti-Patterns to Avoid