Executive threat dispatch
CONTENT STRATEGIST · R-101014 · A WORKING ANSWER
Messaging to activation is a pipeline problem. I run the pipeline.
Everything below was produced by one person operating an AI-native content system — the environment this req frames as an aspiration is already my default operating mode.
Built as an independent application prototype for Abnormal AI by Bret Kerr.
10+years cybersecurity content
1operator running the full pipeline
N°01Red Hat Agent Skills hackathon · Best in Show
Raw Input → Activation-Ready
The transform, made visible
Select a raw input. One source fans out into a modeled set of activation-ready assets — the mix changes with the source, not a template.
CISO email nurture · 3-part
Research-hub landing section
LinkedIn signal thread
Field battlecard slide
Healthcare industry cutdown
Infographic spec · 9×16
Compressed 2-sentence thesis
1 input →8activation-ready assets
Req → Receipt
Every requirement, answered with an artifact
The posting's words on the left, verbatim. A shipped, linkable proof on the right. No summary filler — each row is a system or a link.
“Translate raw inputs … into activation-ready content and narrative outputs.”
Abnormal AI · Content Strategist (R-101014)Receipt · Pipeline
Semantic-Triple-Transformation pipeline
Deep research in, three simultaneous deliverables out — with the SKILL.md files open-sourced so the workflow is inspectable, not asserted.
Open the skills portfolio“Identify opportunities to extend the value of existing content by creating derivative assets (e.g., summaries, slides, clips, videos, or industry-specific cutdowns).”
Abnormal AI · Content Strategist (R-101014)Receipt · Derivatives
One source → dispatch + infographic + thread + thesis
A single deep-research input becomes a longform dispatch, an infographic JSON spec, a social thread, and a compressed two-sentence thesis — coordinated, not repeated.
See the agentic system“Use AI-assisted workflows to accelerate ideation, distillation, repackaging, and content transformation, while applying editorial judgment to refine outputs.”
Abnormal AI · Content Strategist (R-101014)Receipt · Judgment
The MoEA Loop
Model-orchestrator, expert-auditor, and adversarial-agent stages accelerate the work; a human editorial membrane owns accuracy, security context, voice, and final release.
Read the loop“2–4+ years of experience in B2B SaaS, cybersecurity, content marketing, or related roles.”
Abnormal AI · Content Strategist (R-101014)Receipt · Domain
A decade in enterprise email security
Mimecast through IPO and take-private. I know this buyer, this threat landscape, and this competitive field natively — including the reporting behind Founder File N°040 on Abnormal's own CEO.
Founder File N°040“Contribute to building lightweight workflows for slicing, packaging, and distributing content more efficiently across channels.”
Abnormal AI · Content Strategist (R-101014)Receipt · Throughput
30 tailored PDFs in one run · ApplyForge in ~2 days
A batch of thirty role-tailored application PDFs produced as a single pipeline run, and a packaging app shipped to the App Store in roughly two days — lightweight workflows that actually ship.
How it is builtOne Message, Every Channel
Adaptation is not drift
One campaign spine, four channel renderings. The invariant phrase survives every adaptation — highlighted so alignment is something you can see, not just trust.
Campaign message spine
The most dangerous attack is the one that looks like business as usual.
Email rendering
Subject: The invoice was real. The request wasn’t.
Your controls were built to catch what looks wrong.
Today’s costliest attack is the one that looks like business as usual —
no payload, no bad domain, just a trusted workflow turned against you.
The Multiplier, Measured
Output at IC scale
Shipped artifacts, counted. Then a process-design comparison for producing one campaign’s derivative set — illustrative of workflow shape, not a benchmark claim.
104
page competitive campaign architecture, one engagement
727
source RAG corpus distilled into a published book
30
tailored application PDFs in a single pipeline run
5
coordinated formats produced per STT source
One campaign · derivative asset set
≈ 3 days
Research + synthesis
Core draft
Derivative assets
Editorial review
Package + distribute
Illustrative of process design, not a benchmark. Same deliverable set; the difference is where the human spends judgment.
Proof + Artifacts
The work already points this direction
Featured dossier · FounderFiles N°040
Evan Reiser: the Founder File
A deep-research profile of Abnormal's co-founder and CEO — how behavioral prediction moved from ad tech into an API-native security primitive, and how the company met a very public AI moment. Produced with the same transform → align → amplify system shown above.
Evan Reiser engaged directly with this reporting on LinkedIn and shared Abnormal's public response in the thread. Engagement, not endorsement.Read Founder File N°040
Anthropic v. Abnormal analysis
An independent read of a public dispute, built to make a complex business and legal moment legible without claiming inside knowledge or drawing legal conclusions.
- Executive litigation brief
- Narrative + competitive map
- Risk + opportunity framing
- Social dispatch + visuals
Agentic Content Marketing
A working model for using multiple AI systems to strengthen the content lifecycle while keeping editorial judgment in control.
- Research + source synthesis
- Brief creation
- Message variants + derivatives
- Editorial QA + packaging
SkillMemoryBank
Lane 2, Best in Show at the Open Accelerator Agent Skills hackathon at Red Hat Boston.
- Persistent AI skills
- Context memory
- Inspectable workflows
- Shippable web product