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- Start Here: Portable GTM Capability
- What portability protects
- The AI SDR Is the Wrong Abstraction
- The pipeline is the product
- Why the monolith fails
- Bad identity becomes automated certainty
- The evidence disappears inside the answer
- Policy becomes prompt folklore
- Activity masquerades as learning
- The durable asset is the memory around the model
- A curated component set, not a shopping list
- Signals and extraction
- Identity and transport
- Orchestration and the human-visible record
- Behaviour and mid-funnel evidence
- Evaluation and policy
- Adopt the system in four stages
- 1. Observe
- 2. Recommend
- 3. Execute within bounds
- 4. Learn and promote
- A practical architecture test
- Where humans should remain explicit
- Build the control loop, not the character
- Top- and Mid-Funnel Conversation Design Template
- Portable GTM Workflow Checklist
- NIST AI Risk Management Framework (external, opens in a new tab)
- OpenAI Cookbook (external, opens in a new tab)
- Y Combinator Library (external, opens in a new tab)
- Black Hat Prospecting: OSINT, Dorking, Breached Data, and how I learned to love the Surveillance State
- Clay and workbook capability reference
- Sales scheduling and routing capability reference
- Reusable agent skills are being treated as production workflow assets
- A configurable signal stack opens the scoring model to practitioner review
- An open multi-agent architecture moves GTM beyond linear workflows