### **You**

Alright. If you want fully agent-driven, no human-in-the-loop (no HITL), you’re basically building a company-in-a-box that outputs:

a mobile app (code + binaries + store listing)

a website + docs

creative assets (images/video)

marketing campaigns (B2C + B2B)

sales outreach + contracting + billing

analytics + optimization loops

Here’s the architecture + agent roster + job DAG that actually maps to reality with a Claude Code harness.

Reality check (important)
“No HITL” is possible for building + shipping + running campaigns only if you accept:

occasional hard failures (store review rejections, ad account bans, broken builds)

a lot of guardrails (agents must be prevented from doing dumb/illegal stuff)

automation-friendly product category (not medical/financial/legal high-stakes)

If you mean “literally no human ever touches anything including bank accounts + contracts,” that’s where you get wrecked fast. So the only sane way is: pre-authorized rails + strict policies + deterministic compilers.

System Architecture (agents as a pipeline)

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Mermaid
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Claude Code harness role: it’s your “executor” inside each agent (code edits, tests, git ops). The orchestrator routes tasks, enforces policies, and blocks unsafe actions.

Agent roster (what each one DOES)
1) PM / Spec Agent (the brain)
Outputs:

PRD + scope boundaries

acceptance criteria

backlog + milestones

pricing hypothesis (B2C/B2B)

risk register

launch checklist

Rules:

must generate structured specs (JSON/YAML) that downstream agents compile.

2) UX Agent
Outputs:

screen inventory + user flows

wireframes (as a structured layout spec)

copy blocks

design tokens requirements

If you want “rich artifacts” headlessly, UX outputs UI specs, not Figma files.

3) Brand/Design Agent
Outputs:

design tokens (colors, type, spacing)

logo/icon set

app store screenshot layout templates

brand voice rules

This becomes compile targets for:

app theme

website CSS

slide templates

ad templates

4) Mobile FE Agent (React Native / Flutter / native)
Outputs:

app code

navigation + state management

instrumentation hooks

feature flags

offline/online behavior

Must be paired with QA + CI or you ship garbage.

5) Backend Agent
Outputs:

APIs + auth

database migrations

background jobs

admin endpoints

rate limiting + abuse controls

If B2B exists at all, backend must support:

tenanting

roles

audit logs

export

6) QA/Test Agent
Outputs:

unit tests

integration tests

basic E2E tests (emulators/simulators)

regression suite + flaky test suppression

No HITL means QA must be brutal.

7) CI/CD Agent
Outputs:

pipelines (build, test, sign, deploy)

environment provisioning

secrets wiring (but never sees raw secrets; it uses a vault interface)

release channels (beta → prod)

8) Release Agent (stores)
Outputs:

store metadata

screenshots (generated)

preview videos (generated)

changelogs

staged rollout config

Hard truth: App Store / Play Console are the biggest no-HITL pain points because policy is subjective. You’ll need auto-retry + variant generation on rejection reasons.

Media pipeline agents (headless “rich materials”)
9) Media Agent (images/video/audio)
Outputs:

app promo videos (short + long)

explainer videos for B2B

voiceover + audio edits

ad creative variants (static + video)

How it should work:

generate a SceneSpec / TimelineSpec

render clips with your chosen generators (or deterministic FFmpeg pipeline)

assemble final variants (9:16, 1:1, 16:9)

No “open Premiere.” No UI editing.

10) Website/Landing Agent
Outputs:

landing pages with conversion tracking

pricing pages

blog

SEO schema

onboarding docs

11) Docs/Support Agent
Outputs:

help center articles

in-app FAQ

incident templates

response macros

“what changed” release notes

Growth (B2C + B2B) without humans
12) Marketing Strategy Agent
Outputs:

channel plan (B2C vs B2B)

messaging matrix (pain → claim → proof)

campaign calendar

KPI targets + budgets per channel

13) SEO/Content Agent (B2C + B2B)
Outputs:

programmatic SEO pages

blog posts

case studies (B2B)

comparison pages (“X vs Y”)

email sequences

14) Paid Ads Agent
Outputs:

creative variants

ad copy variants

landing page variants

budget allocations

auto-pause rules (CAC > cap, CTR collapse, etc.)

No HITL warning: ad accounts ban fast if your creatives/claims are sloppy. This agent must have a compliance checker.

15) Community Agent (non-traditional B2C)
Outputs:

posts for Reddit/Twitter/LinkedIn

community seeding

influencer outreach scripts

automated replies (careful: can get you banned if spammy)

16) PR/Influencer Agent (non-traditional)
Outputs:

press kit

outreach list

pitches

affiliate/referral offers

tracking links

B2B sales (fully agent-driven)
17) ICP/Listbuild Agent
Outputs:

target segments

company lists

persona mapping

enrichment (tech stack, size, signals)

18) SDR Agent (outbound)
Outputs:

sequences

personalized emails

follow-ups

meeting scheduling attempts

objection handling scripts

19) AE / Demo / Proposal Agent
Outputs:

demo scripts

tailored pitch decks (compiled)

proposals

ROI calculators

implementation plans

20) Contract/Policy Agent
Outputs:

MSAs, DPAs, SLAs templates

redline responses within guardrails

privacy policy updates

Hard truth: full autonomy here is risky. At minimum: contracts should be limited to pre-approved templates + bounded negotiation parameters.

21) Billing/RevOps Agent
Outputs:

Stripe plans / invoicing

entitlement mapping

dunning emails

churn risk flags

22) Customer Success Agent
Outputs:

onboarding emails

usage nudges

support responses

escalation to bug tickets

QBR drafts (if enterprise)

Ops agents (keep the machine alive)
23) Observability Agent
Outputs:

SLOs

alerts

anomaly detection

incident summaries

rollback triggers

24) FinOps/Budget Agent
Outputs:

spend caps enforced

model usage budgets

ad spend budgets

cloud cost controls

25) Security Agent
Outputs:

dependency scanning

secret scanning

permission checks

abuse prevention rules

The actual Job DAG (end-to-end)
Phase 0 — Bootstrap

PM Agent writes spec + success metrics

Brand Agent writes tokens + voice

Architecture Agent defines stack

Orchestrator locks policies + budgets

Phase 1 — Build

FE/BE agents implement

QA agent writes tests

CI agent wires pipelines

Security agent enforces scans

Observability agent adds dashboards

Phase 2 — Release

Release agent generates store assets + metadata

Store submission

If rejected: auto-generate compliant variants and resubmit

Phase 3 — Launch

Website agent publishes landing pages

Marketing strategy agent deploys campaign plan

Media agent generates creatives

Ads agent launches experiments + optimization loops

Community agent seeds organic channels

Phase 4 — Scale

SEO agent publishes long-tail content programmatically

SDR agent runs outbound

AE agent runs proposals + demos

Billing agent converts + collects

CS agent retains + expands

Continuous loops

weekly: roadmap refresh (PM) from telemetry

daily: ads + SEO optimization

hourly: ops anomaly detection + rollback

Guardrails you must implement (or no-HITL will implode)

Budget caps everywhere (cloud, ads, model calls)

Hard allow-lists for what agents can change in prod

Template-only legal (contracts are from approved sets)

Claims compliance (marketing can’t invent features/results)

Safety policy engine (blocks spam, harassment, illegal targeting)

Rollback automation (if crash rate spikes, auto-revert)

Artifact compiler (decks/videos/docs are compiled from specs, not “hand-edited”)

What agents are “capable of now” with Claude Code harness?
Capable today (reliably with the right scaffolding):

building the app + backend

writing tests + CI

generating docs + websites

generating creatives (good enough) + variations

running SEO/content at scale

running outbound sequences

basic ad experimentation + optimization

assembling decks/videos via compilation workflows

Still brittle / high-risk without humans:

app store approval loops (subjective policy)

large paid ad accounts (ban risk)

contracts/negotiations (legal liability)

anything with regulated claims (health/finance)

So the correct move is not “pretend it’s solved,” but architect around failure.

If you want, I’ll produce the next deliverable as a concrete repo layout + task schemas (YAML/JSON) for the orchestrator and each agent, including:

the exact “task message” format you feed Claude Code

the verification rules per stage

the minimal set of services to run this as a production DAG system

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### **ChatGPT**

Abstract to general digital plane of sellable goods and services now. How could we extend to diff digital markets? Or semi digital (e.g. Dropshipping or hiring humans in that means needn't a real Hitl)

How abt discord / reddit community engagement and mgmt/creation

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