Writing
GTM systems writing and field notes.
A current series on the operating layer underneath AI-enabled GTM: what agents can read, what they can suggest, what needs review, and where human judgment still owns the call.
Current articles
Where to start reading.
The series moves from safe revenue-data access into field ownership, judgment, attention, review queues, provenance, and tool boundaries.
AI usage becomes meaningful only when a workflow shows lower cost, better quality, lighter review burden, or a business motion that improved.
A startup can avoid hiring and still become expensive when AI usage, GTM tooling, and review burden become the new burn layer.
A run ledger makes agentic GTM work accountable by preserving context, judgment, policy, review, and outcome.
Frames reverse ETL as the context and provenance layer that tells agents where data came from and how much to trust it.
Shows how useful agent signals become owned review work instead of another alert stream.
Explains how agents should decide which changes deserve attention before they create work for a human.
Use this when the question is who owns a field, which system is trusted, and what needs approval before CRM data changes.
A decision model for separating answers, suggestions, escalations, allowed actions, and hard stops.
Explains why CRM needs an agent-facing interface with permissions, context, auditability, and safe action boundaries.
Clarifies when to use MCPs, CLIs, and workflow automation so agents and operators do not blur execution boundaries.
Start here for the baseline: access, truth, boundaries, judgment, and review before agents act near revenue data.
Defines the missing coordination layer between GTM tools, agent access, human approval, and accountability.
The opening thesis for the series: GTM AI is becoming infrastructure, not just content, prompts, or automation.
Repos
Public build samples.
These samples show the shape of the operating systems behind the writing: signal intake, review surfaces, CRM memory, and handoff workflows.
A public-safe version of the GTM operating layer: source intake, signal review, CRM handoff, and execution routing.
Shows the architecture and workflow pattern without exposing private client data, credentials, or internal operating material. View repository Repository sample Opportunity Discovery SystemA sample pipeline for turning market, company, and account signals into qualified opportunities for review.
Demonstrates how fragmented public signals become structured inputs for outbound, strategy, and partner prioritization. View repository Repository sample Client Communications to CRMA workflow for converting calls, emails, and loose client context into CRM-ready account memory.
Shows how communication context can become structured follow-ups, account updates, and safer CRM handoffs. View repository Repository sample Company Chat Founder BriefA briefing workflow that converts scattered company chat into founder-facing decisions, risks, and next steps.
Useful for compressing internal discussion into a cleaner review surface without exposing private workspace history. View repository Repository sample Signal DetectorAutomated monitoring surface for business opportunities and partnership signals.
A reusable signal-capture pattern for turning public changes into structured review inputs. View repository Repository sample Berkshire Thinking AgentSource-grounded Berkshire Hathaway thinking and decision-review agent.
A compact example of using source material to support structured judgment rather than open-ended prompting. View repositorySkills
Reusable operating patterns.
Repeatable workflows for turning source material, signals, and operating context into reviewable action.
Collects source changes, market movement, and account signals into a reviewable queue.
Keeps the first pass focused on what changed, why it matters, and whether it deserves action. View skill file Reusable skill Source reviewTurns source documents, links, and notes into grounded briefs with clear evidence boundaries.
Useful for whitepapers, research folders, market scans, and public-safe artifact review. View skill file Reusable skill CRM handoffConverts unstructured client communication into structured CRM updates, follow-ups, and account memory.
Designed around field ownership, next steps, source context, and review before write. View skill file Reusable skill Founder briefCondenses company chat, updates, and operating context into founder-ready briefs.
Pulls decisions, risks, priorities, and unresolved questions out of high-volume collaboration surfaces. View skill file Reusable skill Decision reviewCompares evidence, constraints, owners, and timing before recommending the next operating move.
Keeps the output practical: what matters, what is uncertain, who owns it, and what happens next. View skill file Reusable skill Public archiveTurns selected work, articles, documents, repositories, and media into a curated public surface.
Keeps the public layer organized without exposing raw private notes or operational material. View skill file