John Chase Fort — Marketing AI & Operations Lead

[/>] ABOUT

[/>]John Chase Fort

Selected outcomes

[01] Advisors enabled

350+

Built and ran a compliant social selling system at enterprise scale.

[02] Compliance turnaround

60+ DAYS -> ~2

Rebuilt approval workflows until Legal and Compliance trusted the system.

[03] Organic views

10M+

Created repeatable growth systems for creators and digital-first brands.

[04] AI systems shipped

5

CompliPost (live SaaS), Kosmos (open source), and three public portfolio builds.

I build

the layer

beneath

the work.

$ I did not set out to build a career at the intersection of marketing, operations, and AI systems. What started as growth work kept pulling me toward the harder layer underneath: the workflow, the operating model, the approval path, the structure that decides whether something scales or breaks under pressure. That pattern followed me everywhere. In enterprise banking, I rebuilt compliant content and advisor enablement systems that Legal and Compliance could trust. In startup and independent work, I built distribution engines, content systems, and growth loops without the safety net of a big team or paid spend.

What I want next is ownership of marketing AI and operations: building the systems a serious team runs on, and getting them adopted in a way that survives compliance, scale, and real usage. The through-line has never been volume for its own sake. It has been taking ambiguous work, finding the pressure points, and building structure people can trust.

[/>] STRUCTURE EARNS SPEED

The goal is not chaos disguised as velocity. I build the scaffolding that lets teams move faster without losing trust, clarity, or control.

[/>] TRUST IS A SYSTEM

Whether the constraint is compliance, scale, or cross-functional friction, trust has to be designed into the workflow. It does not appear after the fact.

[/>] AI NEEDS OPERATING DISCIPLINE

I care about the work around the model: memory, guardrails, instrumentation, interfaces, and the decisions that make AI useful once people depend on it.

[/>] EXPERIENCE

> Current advisory and independent work up top. Operating roles behind it.

WHAT WAS BUILT

>Shaped the agentic-commerce GTM narrative and investor-facing positioning alongside the founding team.
>Built a private GitHub-backed knowledge graph as a business-control layer: data-room freshness, messaging consistency, claim labels, and shared AI skills.
>Built a Sales Navigator outbound-personalization workflow with enrichment, confidence scoring, and human-reviewed message drafts.

WHAT WAS BUILT

>Advisory work across startups, agencies, and enterprise teams on GTM, marketing AI strategy, and practical AI adoption: workflow setup, tooling decisions, source-of-truth systems, and operating rhythms for AI-assisted execution.
>Shipped CompliPost (live product) and Kosmos (open-source) plus three public AI builds: GTM OS, Flowcraft, and SignalScope.

[/>] PROJECTS

4 initiatives spanning enterprise systems, growth, and distribution. AI product work lives in the portfolio below.

THE CHALLENGE

Advisors wanted local visibility and business development support, but content lived across teams, approval paths were inconsistent, and the program was viewed as risky. Adoption could not improve until trust improved first.

THE APPROACH

>Owned the Hearsay program end-to-end across Mortgage, Wealth, and Commercial Banking.
>Centralized educational, product, recruiting, and brand content into a shared library of 500+ approved assets.
>Moved stakeholders from one-off reviews to structured approval paths and documented SOPs with Legal and Compliance.
>Built content frameworks, automation rules, enablement materials, and a repeatable reporting rhythm for multiple lines of business.

IMPACT

+Tripled program adoption while supporting 350+ active advisors and 11,000+ posts.
+Reduced review timelines from 60+ days to roughly 2 days.
+Generated $150K+ per year in platform-measured earned media value without paid spend.
+Helped make the program a recruiting differentiator and a trusted channel inside the business.

[/>] AI SYSTEMS — SHIPPED

CompliPost is a live compliance-aware content product for mortgage loan officers. Kosmos is an open-source observability workspace for AI agents. GTM OS, Flowcraft, and SignalScope cover retrieval, content workflows, and market intelligence. Every one has a working link.

[/>] AI BUILD

CompliPost

Live product

Compliance-Aware Content

Compliance-aware content system for mortgage loan officers, built around governed publishing instead of generic AI copy.

Mortgage professionals need to publish consistently without creating avoidable compliance risk. The product has to combine generation, constraints, review logic, and business packaging.

#Next.js#Supabase#OpenAI#Compliance Rules#SEO

Live SitePrivate Repo

What I built

>Product surface for compliant content generation, SEO-scale landing pages, and user-facing plan structure.
>Rules-aware workflows that keep sensitive financial content inside practical guardrails.
>Supabase-backed application architecture with production analytics, subscription positioning, and GTM-ready product packaging.

What it proves

>Live public product with a focused mortgage-loan-officer audience.
>Private codebase, public product surface, and compliance-aware positioning.

[/>] AI BUILD

Kosmos

Open source

Agent Observability

Local-first observability and debugging workspace for AI agents, prompts, traces, and runtime workflows.

AI builders need more than chat logs when an agent touches files, calls tools, edits prompts, or relies on local context. Kosmos is built around a direct question: can I trust what my AI just did to this workspace?

#TypeScript#Electron#React#SQLite#WebSockets

Live Site GitHub

What I built

>Local runtime launched with npx and backed by a local SQLite workspace.
>Architecture map, live monitoring, trace replay, context audit, prompt workbench, and health overview.
>Workspace inspection across files, prompts, tools, models, notes, traces, and runtime relationships.

What it proves

>Public open-source developer tool with website, npm package, docs, CI, and release assets.
>Turns prompt iteration, trace review, and context hygiene into visible product surfaces.

[/>] AI BUILD

GTM OS

Public build

Source-Grounded GTM Workspace

A cited-answer workspace that turns scattered go-to-market documents into strategy checks, positioning answers, and reusable team knowledge.

Revenue teams often have the right information spread across decks, notes, pricing docs, objection handling, and brand guidance. The hard part is making answers inspectable before anyone uses them in customer-facing work.

#Next.js#React#TypeScript#Local RAG#OpenAI

Live Site GitHub

What I built

>Browser-side document chunking and retrieval over seeded and uploaded Markdown/TXT sources.
>Optional hosted synthesis through an API route while preserving a keyless local retrieval mode.
>Review UX with source snippets, citation chips, copy controls, and contradiction-friendly demo data.

What it proves

>Demonstrates local-first RAG patterns without requiring API keys to evaluate the product.
>Public repo and Vercel demo make the architecture inspectable.

[/>] AI BUILD

Flowcraft

Public build

AI Content Planning Workflow

Human-in-the-loop campaign planning workflow that turns source material into themes, pillars, and review-ready channel drafts.

Most AI content tools jump straight from prompt to copy. Flowcraft treats content as an operating workflow: context first, strategy second, generation third, review always.

#Next.js#TypeScript#Vercel AI SDK#Zod#Streaming

Live Site GitHub

What I built

>Staged async workflow for intake, theme extraction, content pillars, draft generation, and review packaging.
>Streaming progress events so users can see long-running AI work unfold step by step.
>Editable post cards with approval, edit, flag, copy, and export controls.

What it proves

>Shows practical schema-checked output, source-aware generation, and review-first UX.
>Public repo and deployed planner for evaluating the workflow end to end.

[/>] AI BUILD

SignalScope

Public build

Market Intelligence Pipeline

Live brand and market monitoring system that collects public signals, triages noise with AI, and writes cited GTM intelligence reports.

Raw alerts are noisy, and strategy teams need evidence-backed summaries rather than another feed to check. SignalScope turns broad public signals into reviewable recommendations.

#Next.js#TypeScript#Anthropic#OpenAI#Zod

Live Site GitHub

What I built

>Collection adapters for Google News RSS, Hacker News, GDELT, and optional Tavily search.
>Two-pass AI pipeline: fast relevance triage followed by higher-quality synthesis.
>Schema-checked reports with citations, evidence chips, Markdown export, and streaming progress.

What it proves

>Demonstrates source-grounded intelligence workflows for brand, competitor, sales, and account planning.
>Public repo and deployed monitor show the full collect, triage, synthesize, review loop.

[/>] AI & AUTOMATION

I treat AI as infrastructure. That means defining roles, constraints, memory, policy boundaries, and runtime visibility around the model so the system still works after the demo.

●●●architecture.flow

[01]

Context Intake

→

[02]

Policy & Rules

→

[03]

Memory & State

→

[04]

Agent Execution

→

[05]

Telemetry

[/> :]

Role-scoped systems, not prompt chains

I design agent workflows around clear responsibilities, tool boundaries, handoffs, and execution paths. The point is getting complex work to run in a way people can understand, inspect, and improve.

Deterministic policy around probabilistic generation

When the environment is regulated, the model cannot own the workflow. I build systems where rules, approvals, and state stay deterministic while AI works inside boundaries people can enforce.

From ingestion to decision-ready outputs

I build research systems that gather, transform, and structure information into something teams can use. The work is less about summaries and more about repeatable intelligence pipelines.

State, retrieval, and visibility as infrastructure

As systems get more autonomous, the hard questions move beneath the interface: what gets remembered, what gets shared, what stays local, and how people inspect the system when something goes wrong. That is where I like to work.

[/>] SKILLS & TOOLS

The skills I've developed across growth, operations, AI workflow systems, marketing operations, and hands-on execution.

Enterprise Growth Systems

Growth Strategy / Growth Operations / Content Systems / Social Selling / Field Enablement / Advisor Marketing / Distribution Strategy / Community Marketing / Sponsorship Activation / Local Marketing / Lead Generation

Governance & Program Leadership

Compliance Governance / Cross-Functional Leadership / Program Ownership / Operating Model Design / SOP Design / Process Improvement / Change Management / AI Transformation / Enablement Materials / Stakeholder Alignment / Approval Workflows

AI Systems & Automation

Agent Systems / Workflow Architecture / Prompt / System Design / LLM Architecture / Model Context Protocol / Claude Code / Multi-Agent Orchestration / RAG / Memory Architecture / Semantic Retrieval / Observability

Platforms & Tooling

Next.js / Supabase / SQLite / WebSocket / IPC / Webflow / Yext / Hearsay / Compliance Platforms / Google Business Profile / CMS Workflows / API Integrations

Creative & Distribution Execution

Short-Form Video Strategy / Content Strategy / Copywriting / Narrative Development / Hook Writing / Creative Direction / Visual Direction / Adobe Photoshop / Editorial Structuring / Messaging Systems

CERTIFICATIONS

Building with the Claude APIAnthropic

Model Context Protocol: Advanced TopicsAnthropic

Career Essentials in Generative AIMicrosoft & LinkedIn

Advanced Guide to ChatGPT, Embeddings, and LLMsLinkedIn Learning

Google Analytics CertificationGoogle

Google Ads Search CertificationGoogle

Succeeding as a New ManagerLinkedIn Learning

Essential Skills in PhotoshopAdobe / LinkedIn Learning

Webflow 101Webflow

EDUCATION

Syracuse University

Maxwell School of Citizenship and Public Affairs

B.A. Political Science & History & Culture of Music · Dean's List

2017 — 2021

LANGUAGES

EnglishNative

FrenchAdvanced (C1)

[/>] RECOGNITION

Awards and review themes.

Formal performance awards and the recurring themes from performance reviews at First Horizon Bank.

First Horizon BankPerformance Award

Meaningful Impact

Formal recognition for systemic improvements to content quality, review turnaround times, and platform operations across the social selling program.

First Horizon BankPerformance Award

Distinctive Impact

Formal recognition for seeing the bigger picture and using process to protect clients, brand, and risk rather than treating process as overhead.

Performance ReviewsRecurring Theme

Cross-Functional Trust

Consistent review feedback on clear ownership, strong partnership across Marketing, Legal, and Compliance, and making complicated systems easier to work with.

[/>] WRITING

[01] ESSAY

Jul 2026 · 5 min read

From 60+ days to ~2: rebuilding compliance review at an enterprise bank.

The review cycle was slow because the system gave reviewers too much ambiguity. I rebuilt the paths, the library, and the operating rhythm until compliance work became easier to trust.

Read

[02] ESSAY

Jul 2026 · 4 min read

2,000 leads in two weeks with zero incremental budget.

The campaign worked because the activation fit the local moment. Six university partnerships, a simple giveaway, and better digital presence turned existing sponsorship rights into a real lead engine.

Read

[03] ESSAY

Jul 2026 · 6 min read

What shipping five AI builds taught me about AI adoption in GTM teams.

CompliPost, Kosmos, GTM OS, Flowcraft, and SignalScope all pointed to the same lesson: adoption depends on the workflow around the model.

Read

MORE WRITING

Substack Medium

[/>] CONTACT

I'm looking for a full-time marketing AI / marketing operations / AI enablement role. I also take advisory engagements — my advisory work spans startups, agencies, and enterprise teams across AI adoption, GTM, and marketing AI strategy.

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