How it all connects — this quarter

Every campaign maps to a pillar and showcases a specific capability/topic — the same edges the content-index graph enforces (campaign · pillar · topic · asset).

1.1 Services & products

• This quarter — SCALE THE PROOF — range (hub) → results (case studies) → the full engine + the Academy
• Leads with: the outbound engine (Clay+signals, full) + the 8 pillars + the Academy (Fall)
• 8 pillars: Performance Marketing, Brand Marketing, Multimedia, Social Marketing, Strategic Relations, IT & Development, Staff Training, Emerging Tech
• SlotSlot — the marketing command center (the product) — 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) — 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 — the consent/data-rights wedge product — compliance-as-a-service + declared-intent capture
• The Lab — real-time WebGL proof-of-capability across the 8 pillars
• Custom enrichment stack — our own Clay-style scrape→enrich→score outbound pipeline, built from MCPs we control

1.2 The wedge + the ladder

• This quarter's framing: PROVEN across all 8 pillars + real case-study receipts — now pick your lane; the consult moves to $150 (the free window closed)
• Wedge — Autonomous Outbound Machine: A Clay-enriched, signal-triggered outbound pipeline, built + handed off in ~3–4 weeks.
• Pricing: fixed build + monthly run-rate (priced on Clay credit-per-enrichment so client run-rate stays profitable)
• Why: Concrete, demoable, matches the AI×Automation + GTM-strategy pages — buyers pay premium for outcomes from systems, not 'marketing services'.
• The ladder:
  1. Wedge: Autonomous Outbound Machine
  2. Omnichannel orchestration (search/social/email/SMS/web as one story)
  3. Custom web/app builds
  4. Staff training — 'think in data' (retention + expansion layer)

1.3 Campaign suite (live from the calendar)

1.4 Promotions — sales campaigns, timed

• SIE Compliance Forcing-Function push — W31–33 (Aug 2026) — timed to the Delete Act broker-processing date (Aug 1 2026) + the CA enforcement news cycle · Consent infrastructure priced for you — turn a data-rights request into first-party intent you own
• Performance — stop guessing, start printing — W38–39 (already a calendar campaign) + always-on Performance plays Q4 · Tie every dollar to a result — a first-outcome conversation, one number to move
• Neutral-Builder partner outreach — Q3 Hub-Launch (W27–29) + ongoing Strategic-Relations cadence; Texas (SA–ATX) workshops Q3–Q4 · A neutral builder with range — white-label creative+data+dev, no ad-business conflict
• Texas (SA–ATX) Operator Workshops promo — 2–3 week promo lead-in before each Q3–Q4 workshop date · Come build it live — a working AI/GTM play you leave with, run on your own data

1.5 Seasonal promos — launching this quarter (RUN-AHEAD)

• The rule: Temerarii's seasonal promo launches ~6 weeks (1.5 months) before the holiday (more for Q4 tentpoles), and every piece STATES the lead-time math so the owner feels the urgency: 'St. Patrick's is 6 weeks out — your competitors are already designing. Let's get your campaign live first.'
• Why early: Consumer buys 2–6 wk before → the business must LAUNCH 4–8 wk before (beat competitors to early buyers) → so WE pitch 6–10 wk before (12–16 for Q4 tentpoles, where shopping starts in October). NRF 2025: 51.9% of winter shoppers + 49% of Halloween + 67% of back-to-school started early — push launch/pitch earlier where a category buys early.

1.6 Our offers — book the free consult

• Primary CTA — Free 1-hour strategy consultation (with Dom Davis or a senior team member): We map your next 90 days of campaigns — which holidays are yours, what to launch and when — and you leave with a plan whether or not you hire us.
• Free 1-hour consultation (rest of Q2 only) (lead magnet) — No cost through end of Q2 — the front door; every campaign + ad CTA points here. After Q2 → $150/hr. We practice our own run-ahead: the free window is a limited promo with a deadline.
• Launch discount (discount) — % off the campaign build for first-time clients + early-bird seasonal sign-ups (book the consult before the run-ahead date).
• Campaign BOGO (buy-one-get-one-free) — Set up one seasonal campaign, get the next built free — locks in the run-ahead habit across two holidays.
• Consult → build → retainer (retainer) — The ongoing run-rate: monthly retainer for always-on + seasonal campaigns + reporting.
• EVERY asset — seasonal promo, holiday reminder, capability post — closes on the SAME CTA: book the free 1-hour consultation. One destination, UTM-tagged, attributed in GA4.

1.7 Seasonal — holiday posts (the on-the-day post)

• Labor Day (2026-09-07) — 1 social post → all channels

1.8 Strategic relations & events

• Events / conventions:
  • Temerarii Academy — Fall cohort launch — Staff-Training pillar + 'Think in Data' made real; the mission/credibility proof (cominc.org) (Fall 2026 (Q3→Q4, ~W36+))
  • Texas (SA–ATX) operator workshops — Staff-training pillar in market — learn-by-doing labs (Q3–Q4 2026)
  • Lab walkthrough sessions — Hub-launch tie-in (W27–29) — run an experiment live (Q3 2026)
• Partnerships / warm-intro motion:
  • Schools · nonprofits · community centers · employers (via Community Incubator) — LEARN/BUILD/CONNECT distribution + borrowed credibility + a talent pipeline
  • Compliance / data-rights partners — Distribution for SIE; borrowed credibility
  • Agency + platform neutral-builder deals — Shared distribution, white-label range
• Community Incubator / Temerarii Academy: Fall 2026 (Q3→Q4, ~W36+) — the give-it-away mission, in market.

1.9 Operational KPIs & goals

• This quarter's KPI emphasis: pipeline from outbound · pillar coverage · case-study receipts · Academy enrollment · BFCM/Christmas prep (pitched Sep–Oct)
• Case studies → Convert (book a first-outcome call); SIE plays → SIE demo/declared-intent; always-on → Capture (nurture). CTA → destination → UTM → funnel stage on every asset
• ICP focus: Compliance-exposed (SIE push W31–33) + broken-attribution (Performance W38–39)
• Sales push: SIE Compliance push (W31–33) · Performance (W38–39) · Neutral-builder (Hub W27–29 + workshops)
• Masters this quarter: 104 (13 cells + 91 threads)
• Targets: pipeline · declared-intent captures · bookings · partnerships · events run · content shipped

1.10 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

2.1 Content summary & objectives

• Case studies → Convert (book a first-outcome call); SIE plays → SIE demo/declared-intent; always-on → Capture (nurture). CTA → destination → UTM → funnel stage on every asset
• Every asset: CTA → destination → UTM → funnel stage, in the locked dark-humor-educational voice.

2.2 The asset suite this quarter

• 13 cells (Sunday heroes + topic deep-dives, 28–140s)
• 91 long-form (5–7 min, 16:9 YouTube, chaptered)
• 91 daily threads (18–30s)
• 1 holiday posts
• Creative System: Signal Field · 8 pillar shapes · heavy MG every scene · caption→VO→card chain.

2.3 Creative automation — the whole pipeline

• This quarter's creative focus: PILLAR-SPECIFIC creative — each character/shape leads its lane; the daily long-form engine at full tilt
• We automated the ENTIRE creative process, end to end — ideation → script → storyboard → scene → render (Remotion + R3F, the Signal Field, heavy MG) → VO (Piper) + music + captions → 3 native aspects → publish. 342 video masters/yr + the daily long-form + the non-video lanes, briefed once. Most agencies automate a step; we automated the pipeline.

2.4 Creative control — driven like code

• The generative + 3D stack is driven PROGRAMMATICALLY from Claude Code, not hand-clicked: ComfyUI (local GPU, RTX 4070/WSL2, via MCP/HTTP — on-brand imagery · LoRA · upscale, palette-locked to the §08 recipe; API-only, operator runs the app) + Blender MCP (text/image → 3D molds of anything → GLB → R3F/the Lab) + TouchDesigner (realtime generative visuals). So the creative pipeline — type, motion, 3D, imagery — is controlled like code.
• FFmpeg, local: We run it LOCALLY — ffmpeg 8.0.1 with NVENC/CUDA on the RTX 4070 — driving the whole video matrix (compose · VO mux · duck · caption-burn · 3 aspects · 4K) from workflows/ffmpeg_compositor.py + generators/video/ffmpeg.py. No cloud render bill.
• 'just a CLI' / 'outdated' / 'too hard' — actually it's a battle-tested library with a CLI on top, current, and scriptable to anything.

2.5 Storyboard — Something is coming to the Temerarii hub

W27-hub-launch-beat-1 · 45s · 6 scenes · comp SceneReel

2.6 Storyboard — The Temerarii hub is live

W28-hub-launch-beat-2 · 60s · 8 scenes · comp SceneReel

2.7 Per-asset updates under review (before → after)

• Length: threads/holidays render full (18–30s), not the old ~10s — minimums met, varied
• Heavy MG: every scene now carries motion + pillar shape + audio cue
• Caption-sourcing: the rich caption is the source → VO + on-screen card derive (no robotic repeat)
• Long-form: new 5–7 min chaptered YouTube lane, ≥1/day
• Proven render-ready: the 10× gauntlet passes at 522 assets, 0 errors

3.1 Outbound practices

Ethics: Public / consented business data only · honor ToS + robots · no PII harvesting or surveillance · the same consent posture SIE sells

• 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.

3.2 The autonomous outbound engine

• This quarter's outbound focus: GO FULL — the whole scrape→enrich→score→send machine live + signal-led; the SIE compliance push fronts it
• Deliverability Gate: FIRST, before volume: separate sending domains from primary · SPF/DKIM/DMARC · inbox warmup · verify every address · drop catch-all/risky · keep bounce < 2%. Skip this and the machine burns the domain.
• Waterfall Enrichment: Clay queries providers in sequence (A→B→C, 3–5 chained) → 85–95% email coverage vs 40–60% single-source; stop on first valid, auto-verify (NeverBounce/ZeroBounce).
• Signals Not Lists: Trigger on events, not cold static lists: job changes (new VP Sales = tool overhaul), funding (budget), 'Head of RevOps' postings (tool need), competitor mentions. Claygent visits URLs + answers custom research (tech-stack from career pages/eng blogs) → specific, credible personalization.
• Score And Filter: Clay formula scoring; message only rows >60–70/100. Don't message everyone you enrich.
• Cost Note: Clay dual-credit pricing (Mar 11 2026) — build unit economics on credit-per-enrichment.
• Proof: OpenAI went 40% → 80% enrichment coverage on inbound leads via Clay workflows.
• The architecture (closed loops, human gates):
  • Signal layer — monitor job changes · funding · hiring · web/intent · social mentions (Clay + intent sources)
  • Enrichment + scoring — waterfall enrich · verify · ICP-score · segment
  • Routing — high-fit accounts auto-route to the right sequence/rep in minutes (speed-to-lead is a conversion ranking factor)
  • Orchestration — one coherent story across email/LinkedIn/SMS/retargeting, not siloed blasts (the homepage 'omni-channel, data-shared' promise, made literal)
  • Measurement — every touch tied to pipeline/revenue, fed back to re-score
• Human gates: sending-domain/volume changes · anything posted publicly · list sources. Automate the enrichment, scoring, drafting, routing in between.

3.3 Performance-marketing practices

• The measurable stack — tie every dollar to a result, minus the hype
• UTM spine → GA4 — every link tagged (source·medium·lane·campaign·cell)
• Funnel: Reach → Capture → Convert → (retain) — measured per stage
• Run on ourselves: the GA4 + the office dashboards are the live receipt
• Framing: CPA / ROAS before→after, attribution the walled gardens can't grade

3.4 Data transparency + consent-first

• Data transparency across companies is becoming the price of entry — and the durable moat. As the training-data wall bites and privacy rules tighten, the winners are explicit about what they collect, why, and with whose consent.
• The shift: Third-party signals are decaying; opaque scoring is a liability. The durable asset is zero-/first-party DECLARED intent — data a person/company knowingly shares, portable + auditable.
• Our stance: SIE (Sovereign Intent Engine) productizes it: 'signals, not scores · intent, not eligibility' — consent-first capture, transparent provenance, the person/company owns + can see their data. Our outbound runs on public/consented data only (the ethics rail). Transparency isn't a compliance tax — it's the trust that makes the data worth more.
• Across companies: Across companies, transparency = shared, declared, portable intent signals (with consent) instead of bought-and-blasted lists — cleaner data, higher conversion, lower legal risk, and a reputation that compounds.

3.5 Open by design — give the method away

• We chose to open our work to the world — the office, the Lab, the method, the brand book — because education levels people up, and giving it away IS the marketing.
• Why: Most agencies hide the method behind a black box. We do the opposite: the back office (office.temerarii.xyz), the live Lab (temerarii.xyz), and the playbooks are public, and we TEACH exactly how we do it — AI, APIs, MCP, the pipeline. Openness is the proof of capability AND the on-ramp.
• The mission: We give the method away so people can level up their own lives + work — the same conviction behind Community Incubator / Temerarii Academy (free/accessible AI + digital skills for underserved learners). Demystify, don't gatekeep.
• Why it compounds: Transparency earns trust; teaching earns authority; both compound into demand. 'Minus the hype · receipts over rhetoric' only works because the receipts are public and the method is shared.

3.6 How we operate — the honest pros & cons

• Workflows are JSON: Workflows are JSON — structured data. n8n is the on-ramp; typed Python is the destination.
• The arc: STUDY → BUILD → OPERATE → TRANSFORM → TEACH. (1) STUDIED at scale: cloned + organized a 2,053-workflow corpus (Zie619 + ai-agents) via n8n-workflows-import. (2) BUILT our own: 13 production flows (avatar/video · content-gen · 9-platform distribution), 21–59 nodes, 20+ APIs wired (Perplexity·OpenAI·HeyGen·ElevenLabs·Veo3·Blotato·Airtable·Apify·Reddit). (3) OPERATE the infra: self-hosted n8n on DigitalOcean — Docker + Postgres 15 + Caddy HTTPS + backups. (4) TRANSFORM: n8n JSON → typed Pydantic Python, MCP-ready (flows/active/viral-news-avatar). (5) TEACH: n8n-ai-workflows-workshop → the Academy.
• Distribution: Blotato now (staging-gated) to ship; selectively build direct integrations where control/margin/feature-depth earns it.
• Staying current: Fatigue is real, but giving in costs you the opportunities you then aren't ready to receive — you can't catch what you've stopped tracking.