This isn't a demo.
This is how I work.
Everything I ship runs through STEEPWORKS.
Victor's Production Stack
These workflows run daily. Not demos—real systems you can clone.
Image Generation
30 seconds. Your brand. No Canva.
Concept → PromptSpec → Branded visual in 30 seconds.
Full GTM Intelligence
Ask your CRM anything. Get answers, not exports.
CRM connection → Deal data → MEDDPICC extraction → Pipeline analysis.
ICP Builder
9 agents build your ICP from evidence
Upstream agents collect market, customer, and competitive data. Downstream agents score and rank accounts.
BMOREFAMILIES.COM
A live city site. 100+ sources. 313 venues. Real subscribers.
- •Multi-source scraping pipeline (Firecrawl + custom scrapers) ingests events from 100+ sources
- •Multi-agent curation — 5 persona agents debate which events to feature
- •Full stack: Supabase + Cloudflare Workers + Next.js + Vercel
- •Weekly Beehiiv newsletter generated and distributed automatically
Pipeline Stats
STEEPWORKS NEWSLETTER + DAILY FEED
7 agents debate 120+ articles weekly. You get the verdict.
- •65 RSS feeds ingested and scored daily
- •7 persona agents independently evaluate each article
- •3-round moderated debate produces the weekly newsletter
- •Total cost: $6-8 per issue
THIS WEBSITE
You're reading copy generated with STEEPWORKS.
- •
/produce-contentdrafted the initial messaging - •
/skeptical-buyercritiqued it from your perspective - •
/edit-contentapplied voice standards and AI-detection prevention - •Copywriting skill refined headlines and CTAs
(And I've spent days looking at it personally too.)
Content Pipeline
INNOVATIVE SIDE PROJECTS
What happens when you point a Knowledge OS at something that isn't GTM?
Handbook for Living
I built AI agents for Jesus, Buddha, Confucius, Muhammad, Laozi, and Zoroaster — each trained on 23,000+ verified historical utterances. Then I told them to write a book together.
Six traditions that spent millennia in separate rooms produced prose that reads like a single voice. The result was astoundingly beautiful. And weird. And somewhat disappointing. Which is exactly what real building looks like.
- •6 persistent agents with cross-session memory
- •23,442 utterances across scholarly-verified corpus
- •Same Knowledge OS architecture — different domain entirely
Proof this system works beyond sales decks and pipeline reports.
Corpus Stats
Daily Operations
ACTUAL SEED/SERIES A GTM OPS
STEEPWORKS runs daily GTM operations:
- •Prospect research before every sales call
- •Weekly competitive intelligence updates
- •Actual blogs, whitepapers, newsletters
- •Call synthesis from every customer conversation
STEEPWORKS PRODUCT BUILD
This product was built with itself.
Battle-Tested
10-12 hours, every day
Hard-won lessons passed on.
Constantly Iterated
Real work, real edge cases
Every skill broke. Then got fixed.
Self-Improving
Meta agents
Claude trained to make itself better.
I put in the work so you don't have to.
I don't demo STEEPWORKS. I use it.
Demos are optimized for showing. This system is optimized for shipping.
Get STEEPWORKS