To build a series of ai AGENTS for outbound strategy

详细信息

1. Project ObjectiveDesign, build and deploy an AI‑driven LinkedIn workflow that automatically generates and delivers personalised lead magnets to three Ideal Customer Profiles (ICPs)—law‑firm owners, IT consultants, and accountancy‑practice partners—so you increase qualified conversations and booked calls.
2. Business ContextCurrent outreach:Heyreach.io Campaign #1 – re‑engage 1st‑degree connectionsHeyreach.io Campaign #2 – nurture post reactorsExisting lead magnets: Business Growth Quiz, “Create Clarity” Playbook, podcast episodes, case study, ChatGPT‑powered Exit Blueprint.Other tools in stack: LinkedIn Sales Navigator, Apollo.io, Clay, Trigify.Strategic hook: Each ICP advises founders who want to scale and exit but lack a structured exit strategy; lead magnets must surface that pain and position your “scale‑to‑exit framework.”
3. Desired Future Workflow (high‑level)DetectionTrigger on new 1st‑degree connection, post reaction, or saved search match.Enrichment & ICP ClassificationPull firmographics via Apollo / Clay API (industry, headcount, role).Classify into ICP‑Law, ICP‑IT, ICP‑Accountancy (fallback = “Other”).Personalised Lead‑Magnet GenerationUse OpenAI API (GPT‑4o) + prompt templates to create:A bespoke 2‑page PDF mini‑playbook (pain points + quick wins).A unique share‑link to your tailored ChatGPT Exit Blueprint (pre‑loaded with their context).Asset ProductionRender PDF via serverless doc generator (e.g., Documint, PDFLib, or HTML‑>Puppeteer).Store in S3 / CloudFront; capture public URL.Delivery Sequencing (via Heyreach)Day 0 DM: pattern‑interrupt hook + quiz link.Day 2 Auto‑follow‑up: drop personalised PDF link.Day 5 Nudge: invite to 15‑min “Exit Readiness Review” call.Feedback LoopSync engagement data back to Airtable/CRM; score lead; auto‑stop on meeting booked.
4. Functional Requirements# Requirement NotesF1 Identify contact ICP via enrichment API and keywords in LinkedIn headline < 300 ms per contactF2 Generate PDF lead magnet with dynamic sections: intro, pain diagnostic, 90‑day action plan, CTA Template must support variable brand coloursF3 Create custom GPT blueprint link pre‑seeded with firm name + challenges Use OpenAI “file‑based” system promptF4 Push asset links + personalised copy back into Heyreach via webhook Must merge‑tag into existing campaign templatesF5 Log all events to central datastore (Postgres or Airtable) For reporting & A/B testing
5. Non‑Functional RequirementsSecurity & GDPR: No PII stored outside EU data centres without encryption at rest & TLS 1.2+.Scalability: 2 000 contacts/day with 80 % coverage)Prompt Engineering Library (YAML/JSON templates)CI/CD Pipeline (GitHub Actions) incl. lint, tests, security scan, deployAdmin Dashboard (low‑code Retool) showing pipeline stats & lead downloadsPlaybook (PDF/Notion) for Marketing Ops: how to create/edit templates30‑day Hypercare Support
8. Success Metrics (90‑day post‑go‑live)30 % ↑ in qualified meetings booked from LinkedIn.≥25 % click‑through on personalised PDFs.Lead magnet production cost ≤ $0.45 per contact (compute + API).System uptime ≥ 99.5 %.
9. Timeline & MilestonesWeek Milestone1 Requirements finalised, access to APIs provisioned2 MVP pipeline: enrichment → content generation → asset storage3 Heyreach integration & DM templates wired4 PDF branding polish + dashboard5 End‑to‑end QA, GDPR review6 Pilot on 200 contacts7 Iterate, performance tuning8 Full launch + hand‑off
10. Risks & MitigationsLinkedIn API/ToS changes: Use headless browser fallback script; monitor rate limits.OpenAI pricing spikes: Add Claude Sonnet or open‑source fallback in abstraction layer.Personalisation fatigue: Rotate prompt templates quarterly; A/B test offers.
11. Next StepsConfirm or adjust scope & KPIs.Provide dev with API keys & brand assets (logo, colours, fonts).Schedule weekly stand‑up cadence and shared Slack channel (doesn't necessarily have to be slack)
Must have experience in multiple LLMs