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feat: expand lead intelligence outreach channels
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@@ -1,6 +1,6 @@
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---
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name: lead-intelligence
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description: AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, and personalized outreach. Use when the user wants to find, qualify, and reach high-value contacts.
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description: AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.
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origin: ECC
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---
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@@ -24,9 +24,11 @@ Agent-powered lead intelligence pipeline that finds, scores, and reaches high-va
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- **X API** — Follower/following graph, mutual analysis, recent activity (`X_BEARER_TOKEN`, `X_ACCESS_TOKEN`)
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### Optional (enhance results)
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- **LinkedIn** — Via browser-use MCP or direct API for connection graph
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- **LinkedIn** — Direct API if available, otherwise browser control for search, profile inspection, and drafting
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- **Apollo/Clay API** — For enrichment cross-reference if user has access
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- **GitHub MCP** — For developer-centric lead qualification
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- **Apple Mail / Mail.app** — Draft cold or warm email without sending automatically
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- **Browser control** — For LinkedIn and X when API coverage is missing or constrained
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## Pipeline Overview
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@@ -37,6 +39,40 @@ Agent-powered lead intelligence pipeline that finds, scores, and reaches high-va
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└─────────────┘ └──────────────┘ └─────────────────┘ └──────────────┘ └─────────────────┘
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```
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## Voice Before Outreach
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Do not draft outbound from generic sales copy.
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Before writing a message, build a voice profile from real source material. Prefer:
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- recent X posts and threads
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- published articles, memos, or launch notes
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- prior outreach emails that actually worked
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- docs, changelogs, or product writing if those are the strongest signals
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If live X access is available, pull recent original posts before drafting. If not, use supplied examples or the best repo/site material available.
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Extract:
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- sentence length and rhythm
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- how compressed or explanatory the writing is
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- how parentheses are used
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- whether capitalization is conventional or situational
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- how often questions are used
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- phrases or transitions the author never uses
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For Affaan / ECC style specifically:
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- direct, compressed, concrete
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- strong preference for specifics, mechanisms, and receipts
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- parentheticals are for qualification or over-clarification, not jokes
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- lowercase is optional, not mandatory
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- no fake curiosity hooks
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- no "not X, just Y"
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- no "no fluff"
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- no LinkedIn thought-leader cadence
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- no bait question at the end
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## Stage 1: Signal Scoring
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Search for high-signal people in target verticals. Assign a weight to each based on:
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@@ -192,39 +228,101 @@ For each qualified lead, pull:
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## Stage 5: Outreach Draft
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Generate personalized outreach for each lead. Two modes:
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Generate personalized outreach for each lead. The draft should match the source-derived voice profile and the target channel.
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### Channel Rules
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#### Email
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- Use for the highest-value cold outreach, warm intros, investor outreach, and partnership asks
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- Default to drafting in Apple Mail / Mail.app when local desktop control is available
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- Create drafts first, do not send automatically unless the user explicitly asks
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- Subject line should be plain and specific, not clever
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#### LinkedIn
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- Use when the target is active there, when mutual graph context is stronger on LinkedIn, or when email confidence is low
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- Prefer API access if available
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- Otherwise use browser control to inspect profiles, recent activity, and draft the message
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- Keep it shorter than email and avoid fake professional warmth
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#### X
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- Use for high-context operator, builder, or investor outreach where public posting behavior matters
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- Prefer API access for search, timeline, and engagement analysis
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- Fall back to browser control when needed
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- DMs and public replies should be much tighter than email and should reference something real from the target's timeline
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#### Channel Selection Heuristic
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Pick one primary channel in this order:
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1. warm intro by email
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2. direct email
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3. LinkedIn DM
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4. X DM or reply
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Use multi-channel only when there is a strong reason and the cadence will not feel spammy.
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### Warm Intro Request (to mutual)
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```
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hey [mutual name],
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quick ask. i see you know [target name] at [company].
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i'm building [your product] which [1-line relevance to target].
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would you be open to a quick intro? happy to send you a
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forwardable blurb.
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Goal:
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[your name]
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```
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- one clear ask
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- one concrete reason this intro makes sense
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- easy-to-forward blurb if needed
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Avoid:
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- overexplaining your company
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- social-proof stacking
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- sounding like a fundraiser template
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### Direct Cold Outreach (to target)
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```
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hey [target name],
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[specific reference to their recent work/post/announcement].
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i'm [your name], building [product]. [1 line on why this is
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relevant to them specifically].
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Goal:
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[specific low-friction ask].
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- open from something specific and recent
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- explain why the fit is real
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- make one low-friction ask
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[your name]
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```
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Avoid:
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### Anti-Patterns (never do)
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- Generic templates with no personalization
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- Long paragraphs explaining your whole company
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- Multiple asks in one message
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- Fake familiarity ("loved your recent talk!" without specifics)
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- Bulk-sent messages with visible merge fields
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- generic admiration
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- feature dumping
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- broad asks like "would love to connect"
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- forced rhetorical questions
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### Execution Pattern
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For each target, produce:
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1. the recommended channel
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2. the reason that channel is best
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3. the message draft
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4. optional follow-up draft
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5. if email is the chosen channel and Apple Mail is available, create a draft instead of only returning text
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If browser control is available:
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- LinkedIn: inspect target profile, recent activity, and mutual context, then draft or prepare the message
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- X: inspect recent posts or replies, then draft DM or public reply language
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If desktop automation is available:
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- Apple Mail: create draft email with subject, body, and recipient
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Do not send messages automatically without explicit user approval.
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### Anti-Patterns
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- generic templates with no personalization
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- long paragraphs explaining your whole company
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- multiple asks in one message
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- fake familiarity without specifics
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- bulk-sent messages with visible merge fields
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- identical copy reused for email, LinkedIn, and X
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- platform-shaped slop instead of the author's actual voice
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## Configuration
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@@ -264,5 +362,5 @@ Agent workflow:
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3. enrichment-agent pulls company data and recent activity
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4. outreach-drafter generates personalized messages for top ranked leads
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Output: Ranked list with warm paths and draft outreach for each
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Output: Ranked list with warm paths, voice profile summary, and channel-specific outreach drafts or drafts-in-app
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```
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