GTM Strategy

We build the future of go-to-market — minus the hype.

Sign-off deck · derived from gtm.yaml · asset_specs · the live office

The thesis

Why now, why us

The consent + intent white space

The cross-context tracking model collapsed: Google retired most of Privacy Sandbox (Oct 2025), third-party cookies persist only in a degraded consent-gated state, and no privacy-safe replacement for identity, attribution, or enrichment has emerged at scale. The giants are structurally disqualified from serving the resulting trust layer for mid-market — ad-business conflicts, antitrust, and tools priced for the Fortune 100. That gap is ours: a consent-native data + intent layer plus human-in-the-loop GTM automation, productized for the firms OneTrust's $10k+ minimums and SQL-heavy clean rooms shut out.

Proof points

  • Delete Act DROP live for consumers Jan 1 2026; broker processing from Aug 1 2026.
  • ~20 US state privacy laws; Global Privacy Control legally binding in 10–11 states.
  • Zero-/first-party declared intent is the durable data asset as the training-data wall bites.
  • Autonomous AI SDRs reverted to human-in-the-loop by 2026 — judgment doesn't automate; the data layer is the constraint.

Why us — Dom Davis, Growth Engineer & AI Solutions Architect

  • The rare triple: Almost no one occupies all three at once. STUDIED it (accredited bootcamp + 30+ frontier courses from the actual tool-builders) · SHIPPED it (built, self-hosted, ran-on-self, 35% YoY) · GIVES IT AWAY (a nonprofit that teaches it). Most have one leg of the tripod; the credibility is the union.
  • Studied: edX/UTSA AI Bootcamp (24 modules) + 30+ DeepLearning.AI courses taught by Anthropic · Meta · LangChain · crewAI · Neo4j · HuggingFace · Predibase · Letta · Mistral · Arize.
  • Shipped: 13 production automation flows · a 2,053-workflow corpus studied + organized · self-hosted n8n (Docker/Postgres/Caddy/DigitalOcean) · flows converted to typed Pydantic Python · SlotSlot · SIE · the content machine · the Lab — the GTM run on ourselves first · 8+ yrs · 35% YoY.
  • Teaches: Community Incubator / Temerarii Academy — teaches this to underserved learners (classes Fall 2026).
  • DeepLearning.AI (30+): GenAI Applications 26 · Prompt Engineering 22 · Agents 18 · RAG 17 · AI Frameworks 13 · Chatbots 13 · Generative Models 13 · Evaluation & Monitoring 12 · LLMOps 11 · Task Automation 11 · Search & Retrieval 9 · Fine-Tuning 7 · Embeddings 6 · Transformers 6 · NLP 5 · MultiModal 4 · Vector Databases 4 · Diffusion · MLOps · Computer Vision · AI Safety
  • 'Minus the hype · receipts over rhetoric · demystify AI' is EARNED — for any claim we can name the exact course, the exact build, and the exact result. 'Thought leader' is then proven by the build-in-public cadence (the calendar · Lab · Academy), not declared.

What's in place

the machine, run on ourselves

The apps we built

App Surface What
SlotSlot — the marketing command center (the product) slotslot (repo) the productized platform: modular · agent-powered · MCP-first · 7 integrated sub-MVPs, research → publishing. The temerarii-studio engine (4-4-5 · output policy · cadence · per-asset gate · content-index) is its spec; this office is the same machine run on ourselves first.
The content machine (back office) office.temerarii.xyz goal → stages → gates harness that plans, composes, gate-checks + publishes the whole calendar — the operator engine + the run-on-ourselves proof behind Slotted
SIE — Sovereign Intent Engine app.siedata.dev the consent/data-rights wedge product — compliance-as-a-service + declared-intent capture
The Lab temerarii.xyz real-time WebGL proof-of-capability across the 8 pillars
Custom enrichment stack engine/ our own Clay-style scrape→enrich→score outbound pipeline, built from MCPs we control

The content-creation process

Plan → script → scene → render → sound → host → publish, every step gate-checked. 342 video assets/year from one planning pass.

  • PLAN — topics + calendar + GTM → content-index (one source, 342 assets: 94 cells · 30 long-form · 210 threads · 8 holidays)
  • SCRIPT — beat arc (open·legacy·teach·proof·futurist·resolve) authored in the locked voice; caption = source → VO + on-screen card derive
  • SCENE — scene-paced (≥5s/scene, minimums per tier), heavy MG every scene, correlated script→scene→transition→music→VO
  • RENDER — Remotion: SceneReel (social) + LongFormChapters (5–10min YouTube), 3 native aspects, gl:angle
  • SOUND — Piper VO (free/local) + ducked music bed + burned captions, −16 LUFS
  • HOST + PUBLISH — Cloudinary → /media review → Blotato 9-channel + email/blog/SMS (staging until GO)

Rules enforced: verify_scene_pacing · verify_rendered_duration (minimums) · the 10× readiness gauntlet (0 errors) · verify_variety (no redundancy) · the brand rails

Output policy (what every asset ships as)

  • Video aspects: 9:16 1080×1920 · 1:1 1080×1080 · 16:9 1920×1080 + 4K masters
  • Image formats: blog_og · blog_hero · email · sms_mms · thumb · master_4k
  • Text assets: email · sms · blog
  • Audio: VO -16 LUFS · bed -26 ducked · final -16 / TP -1.5 dB
  • Enforced by: verify_content_alignment (every cell has aspects + channels) · verify_variety (no-redundancy) · render-matrix.json enumerates cell × aspect

ICP + how we find them

Target ICP — 3 segments

Compliance-exposed consumer brands

Pain: CCPA / Delete Act / GPC / ~20-state-patchwork / GDPR exposure with no affordable consent infrastructure · Wedge: SIE (app.siedata.dev)

Growth-stage brands with broken attribution

Pain: Spend they cannot tie to revenue; walled gardens grading their own homework · Wedge: Performance pillar + the content machine

Neutral-builder partners

Pain: Need a builder with creative + data + dev range and no ad-business conflict · Wedge: The Lab (temerarii.xyz) + the 8 pillars

Enterprise / scaled DTC + retail

Pain: Compliance + attribution + creative volume across many channels; expensive tooling + slow agencies · Wedge: SIE + custom dev/apps + full GTM

SMB / local businesses

Pain: Need timely campaigns + presence but priced out of agencies; no time to DIY well · Wedge: Seasonal campaign builds + SlotSlot (self-serve) + the Academy + a starter package

Municipal / public sector

Pain: Public-awareness reach + reporting under procurement + accessibility + transparency constraints · Wedge: Full GTM + content machine (procurement-aware) + reporting

Mission / nonprofits (CSR)

Pain: Big mission, thin budget + team; need reach + donor/awareness campaigns without enterprise cost · Wedge: Self-serve + the Academy + cause-campaign builds (discounted/pro-bono lane)

Exactly who we target

Vertical Signal we scrape Built for
DTC / ecommerce Shopify/again-commerce stack · Meta/Google ads live · a privacy-policy page · CA/EU shoppers SIE + Performance
Health & wellness / med-adjacent intake forms · HIPAA-adjacent language · a data-rights/opt-out link SIE
Real estate / brokerages IDX/lead forms · CRM in use · local paid spend Performance + content machine
Financial services / fintech (mid-market) consent banners · GLBA/CCPA exposure · paid acquisition SIE + Performance
Agencies / platforms / Texas + national operators client work outside their lane · integration needs · no in-house build team The Lab + the 8 pillars

How we find them (our stack)

Define ICP → scrape candidates → detect the consent/attribution signal → enrich → Claude scores fit + personalizes → send → UTM→GA4 attribution. Human-in-the-loop at the decision point.

Stage Tools
Source / scrape Apify (store scrapers: Shopify/store directories, LinkedIn company + people, Google Maps for local SA/real-estate, niche directories) · reddit-scraper · Google News
Signal detection Apify + Playwright (site crawl) · custom checks
Enrich / research Perplexity · Tavily · Exa (semantic) · Apify firmographic actors
Score + personalize Claude (reasoning) over the enriched row
Store Airtable (the custom CRM) via MCP
Send + attribute Resend (email) · LinkedIn (founder-led) · UTM (engine/lib/utm.py) → GA4

Sales / promo campaigns

Supplemental, ICP-targeted, calendar-timed

SIE Compliance Forcing-Function push

When: W31–33 (Aug 2026) — timed to the Delete Act broker-processing date (Aug 1 2026) + the CA enforcement news cycle · Offer: Consent infrastructure priced for you — turn a data-rights request into first-party intent you own

Performance — stop guessing, start printing

When: W38–39 (already a calendar campaign) + always-on Performance plays Q4 · Offer: Tie every dollar to a result — a first-outcome conversation, one number to move

Neutral-Builder partner outreach

When: Q3 Hub-Launch (W27–29) + ongoing Strategic-Relations cadence; Texas (SA–ATX) workshops Q3–Q4 · Offer: A neutral builder with range — white-label creative+data+dev, no ad-business conflict

Texas (SA–ATX) Operator Workshops promo

When: 2–3 week promo lead-in before each Q3–Q4 workshop date · Offer: Come build it live — a working AI/GTM play you leave with, run on your own data