# Arthea

> Arthea is a dev and creative studio. We design, build and run the AI systems, websites and growth infrastructure that brands scale on, from the operating systems behind their data to the sites and lifecycle programs in front of their customers.

Arthea is not a traditional agency: we architect AI workflows, operational systemization, task orchestration and agents that plug into an existing stack (Notion, Slack, Google Workspace, CRMs, e-commerce platforms) and automate operations, marketing and growth end to end.

## Ecosystem

- [Atlas](https://atlas.arthea.ai): brand operating system for growth (CRM sync, data ops, automations)
- [Kleos](https://kleos.arthea.ai): influence and creator operating system
- [Affiliates](https://affiliates.arthea.ai): the Arthea affiliate program (Atlas + Kleos)

## Services

- [AI Workflows](https://www.arthea.ai/ai-workflows): AI infrastructure built for execution: workflow architecture, intelligent agents, support automation, custom internal tools, CRM sync and data ops
- [Email & SMS](https://www.arthea.ai/email-and-sms): retention architecture: lifecycle flows, segmentation, deliverability, orchestration
- [Websites & CRO](https://www.arthea.ai/websites-cro): websites engineered for growth and conversion: audits, experimentation, performance

## Start here

- [Book a Fit Call](https://www.arthea.ai/book-a-fit-call): a short call to determine whether Atlas, Kleos or a combination is the right fit
- [Blog](https://www.arthea.ai/blog): architecture notes on infrastructure, conversion systems, retention and AI deployment

## Articles

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- [The Autonomous AI Agent · A Builder’s Guide to Systems That Actually Run Themselves](https://www.arthea.ai/blog/the-autonomous-ai-agent-a-builder-s-guide-to-systems-that-actually-run-themselve) (2026-07-10): What an autonomous AI agent is, how it differs from chatbots and automation, and when to use one.
- [The B2B Marketing Agency That Owns Its Margins (and Its Methods)](https://www.arthea.ai/blog/the-b2b-marketing-agency-that-owns-its-margins-and-its-methods) (2026-07-10): How to build a defensible B2B marketing agency by replacing process debt with autonomous systems, not people.
- [The Social Media Marketing Agency Is Becoming a Machine](https://www.arthea.ai/blog/the-social-media-marketing-agency-is-becoming-a-machine) (2026-07-10): Why the best social media marketing agency will be a machine that optimizes cost per outcome, not hours.
- [Content Marketing Services](https://www.arthea.ai/blog/content-marketing-services) (2026-07-09): A proper content marketing service delivers a demand loop, not a calendar. Choose the system that optimizes revenue.
- [Lead Generation Content Marketing · Build an Asset That Sells While You Sleep](https://www.arthea.ai/blog/lead-generation-content-marketing-build-an-asset-that-sells-while-you-sleep) (2026-07-09): Lead gen content marketing builds trust and authority, converting decision-ready leads with intent-based capture.
- [AI Marketing · The Operator's Guide to Systems That Actually Work](https://www.arthea.ai/blog/ai-marketing-the-operator-s-guide-to-systems-that-actually-work) (2026-07-07): Learn how to build an AI marketing system that ingests data, decides, acts, and adapts autonomously.
- [Email Marketing Platforms For Small Business](https://www.arthea.ai/blog/email-marketing-platforms-for-small-business) (2026-07-06): Compare Klaviyo, MailerLite, and ConvertKit by deliverability, automation, and revenue attribution for small business.
- [Marketing Funnel](https://www.arthea.ai/blog/marketing-funnel) (2026-07-06): See how AI turns your marketing funnel from a leaky bucket into an autonomous revenue system.
- [Agentic AI Coding Tools · How Autonomous Coding Systems Are Changing DTC Operations](https://www.arthea.ai/blog/agentic-ai-coding-tools-how-autonomous-coding-systems-are-changing-dtc-operation) (2026-07-05): Agentic AI coding tools autonomously plan, write, test, and deploy code for DTC operations without step-by-step prompts.
- [Content Marketing Lead](https://www.arthea.ai/blog/content-marketing-lead) (2026-07-05): A model to track content influence across the buyer journey, not just last click.
- [SEO Agency](https://www.arthea.ai/blog/seo-agency) (2026-07-05): Most SEO work is automatable. Here's the concentrated expertise worth paying an agency for.
- [Tools don't scale. Systems do.](https://www.arthea.ai/blog/tools-dont-scale-systems-do) (2026-07-01): Most brands don't stall for lack of tools. They stall because their tools were never wired into a system. Here's how we think about the difference.
- [The retention engine](https://www.arthea.ai/blog/the-retention-engine) (2026-06-24): Traffic is rented. Retention is engineered. The lifecycle architecture that turns a first purchase into repeat revenue without discounting.
- [The 48-hour campaign · our end-to-end production timeline](https://www.arthea.ai/blog/48h-campaign-timeline) (2026-06-06): Hour by hour, this is how we take a campaign from a one-line brief to live across email, paid, and social in 48 hours.
- [The guardrail stack that stops an AI agent shipping off-brand work](https://www.arthea.ai/blog/agent-guardrail-stack) (2026-06-06): One bad prompt change had an agent drafting off-brand copy at scale. We built a four-layer guardrail stack so no single failure ever reaches a client.
- [Running a daily standup with 83 autonomous agents](https://www.arthea.ai/blog/agent-standup-operations) (2026-06-06): We run a daily standup with 83 autonomous agents. They report status in a structured format, a triage layer sorts it, and a human reviews maybe a dozen lines.
- [The on-call rotation we built for our AI agents](https://www.arthea.ai/blog/ai-agent-on-call-rotation) (2026-06-06): Our AI agents rarely throw errors. They go quiet. So we built an on-call rotation that pages on silence, watching three signals per agent.
- [Idempotency keys · why every automation needs them](https://www.arthea.ai/blog/automation-idempotency-keys) (2026-06-06): A retried webhook should not charge a card twice or send the same email five times. Here is how we design idempotency keys so replays are safe.
- [Behavioral cohorts past RFM that actually move revenue](https://www.arthea.ai/blog/beyond-rfm-segmentation) (2026-06-06): RFM gets you 60% of the way. The revenue is in event-based cohorts and predicted-LTV bands. Here is how we build ecommerce segmentation that moves money.
- [The operating model behind a brand factory](https://www.arthea.ai/blog/brand-factory-operating-model) (2026-06-06): How agents and humans run multiple commerce brands at once: the division of labor, the approval gates, and the loop that keeps it from drifting.
- [An attribution model for content that compounds over months](https://www.arthea.ai/blog/content-attribution-model) (2026-06-06): Last-click attribution tells you content does not work, right when it is starting to. Here is the lagged, assisted content attribution model we run instead.
- [The repurposing engine · one article into twenty assets without churn](https://www.arthea.ai/blog/content-repurposing-engine) (2026-06-06): Turning one article into twenty social posts is easy. Doing it without the feed reading as churn is the hard part. Here is the pipeline and the dedup gates.
- [Cost-per-outcome accounting for an AI-run agency](https://www.arthea.ai/blog/cost-per-outcome-accounting) (2026-06-06): Token cost per task tells you almost nothing. We track cost per shipped outcome: cost per reply, per deal, per client. Here is the accounting that actually works.
- [Prioritizing a CRO experiment backlog with ICE](https://www.arthea.ai/blog/cro-experiment-backlog-ice) (2026-06-06): How we run CRO experiment prioritization with ICE: scoring impact, confidence, and ease honestly, then working the queue so the best tests ship first.
- [Core Web Vitals as a conversion lever](https://www.arthea.ai/blog/cwv-conversion-lever) (2026-06-06): We treat LCP, INP, and CLS as revenue metrics. Here is the order we fix them in and what each point of improvement returns at checkout.
- [The one-prompt drift classifier we run on every AI draft](https://www.arthea.ai/blog/drift-classifier-quality-gate) (2026-06-06): Our AI content quality gate is a single short classifier prompt that scores every draft for drift before publish. How it works, what it catches, and what it costs.
- [The editorial voice spec that keeps AI copy on-brand at scale](https://www.arthea.ai/blog/editorial-voice-spec) (2026-06-06): How we encode brand voice for AI content as a machine-checkable spec: a forbidden-words list, banned patterns, and a gate that runs on every draft.
- [The first store we shipped on atlasforbrands](https://www.arthea.ai/blog/first-store-on-atlasforbrands) (2026-06-06): We shipped the first store on atlasforbrands in one working session. Here is what we built, the stack we used, and what we learned.
- [GEO · getting cited by AI answer engines](https://www.arthea.ai/blog/geo-generative-engine-optimization) (2026-06-06): Generative engine optimization is the work of structuring content so AI answer engines quote and cite you. The schema, the FAQ blocks, and the citation patterns we use.
- [Why we killed the retainer and what replaced it](https://www.arthea.ai/blog/killing-the-retainer) (2026-06-06): Fixed retainers paid us to look busy while real results went uncounted. Here is the outcome-and-throughput agency pricing model we run instead.
- [The four numbers we check every morning](https://www.arthea.ai/blog/morning-dashboard-4-numbers) (2026-06-06): Four numbers predict the week. Everything else on the marketing operations dashboard is noise until something actually breaks.
- [n8n error handling · the retry and dead-letter pattern we standardize](https://www.arthea.ai/blog/n8n-error-handling-pattern) (2026-06-06): A workflow that fails silently is worse than no workflow. Here is the retry, dead-letter, and alerting pattern we put on every n8n flow we ship.
- [The lead-routing workflow that cut our response time to 90 seconds](https://www.arthea.ai/blog/n8n-lead-routing-90s) (2026-06-06): Our median lead response went from 6 hours to 90 seconds. Here is the n8n automated lead routing workflow: capture, enrich, score, assign, alert, with real timings.
- [The pre-send checklist that keeps a sending domain out of spam](https://www.arthea.ai/blog/presend-deliverability-checklist) (2026-06-06): The pre-send deliverability checklist we run every time: authentication, warmup state, list hygiene, and the content checks that avoid spam.
- [SMS and email orchestration without cannibalizing either channel](https://www.arthea.ai/blog/sms-email-orchestration) (2026-06-06): Running SMS and email orchestration as separate programs trains people to ignore both. Here is the channel-priority, frequency-cap, and cross-suppression logic we run.
- [What atlasforbrands is, and why we built it](https://www.arthea.ai/blog/what-is-atlasforbrands) (2026-06-06): atlasforbrands is our AI brand factory: a system that stands up and runs commerce brands as software. Here is the thesis and what it does.
- [The win-back flow that recovers 12% of churned subscribers](https://www.arthea.ai/blog/winback-flow-sequence) (2026-06-06): How we build a Klaviyo win-back flow that recovers around 12% of lapsed buyers: sequence timing, offer logic, and the suppression rules that protect the domain.
- [How to add AI to your agency without trashing your brand voice](https://www.arthea.ai/blog/add-ai-without-trashing-brand-voice) (2026-05-09): Adding AI to client production work: the two failure modes behind most rollouts gone wrong, and the three artifacts that prevent both.
- [What an AI-native marketing operating system actually does](https://www.arthea.ai/blog/ai-native-marketing-os) (2026-05-09): An AI-native marketing OS is not a stack of tools using AI. It is one system where content, retention, CRO and analytics compose into one surface.
- [Why most AI rollouts collapse at month three](https://www.arthea.ai/blog/ai-rollout-month-three) (2026-05-09): AI rollouts succeed in the first week and die quietly between week eight and twelve. The pattern is predictable, and so is the fix.
- [Five conversion micro-wins in week two of every CRO engagement](https://www.arthea.ai/blog/cro-week-2-wins) (2026-05-09): The big rebuild ships in week six. The five micro-wins from week two are what funds the rebuild and earns the engagement extension.
- [DeepSeek V4 and the new economics of inference](https://www.arthea.ai/blog/deepseek-v4-and-cheap-inference) (2026-05-09): DeepSeek V4 broke the pricing floor for frontier-tier inference. What a ten times cheaper forward pass changes for agentic systems and AI-native SaaS.
- [The deliverability work that comes before any retention flow](https://www.arthea.ai/blog/deliverability-before-flows) (2026-05-09): Most retention plateaus are deliverability problems disguised as content problems. A welcome flow cannot outperform an inbox that filters it to spam.
- [The first 90 days of Klaviyo retention work, week by week](https://www.arthea.ai/blog/first-90-days-klaviyo-retention-roadmap) (2026-05-09): A week-by-week Klaviyo retention roadmap: six lifecycle flows, the deliverability work that has to come first, and revenue inside two weeks.
- [The five-phase Webflow CRO architecture we ship to every client](https://www.arthea.ai/blog/five-phase-webflow-cro-architecture) (2026-05-09): The published five-phase Webflow CRO build. What ships in each phase, what to never skip, and the engagement threshold below which the structural work does not pay back.
- [The four signals every AI content program should log from day one](https://www.arthea.ai/blog/instrumenting-ai-content) (2026-05-09): Generic LLM logging tells you which API call returned what. It does not tell you which brand decision broke. Four signals fix that.
- [Three signals that say your Klaviyo program has plateaued](https://www.arthea.ai/blog/klaviyo-plateau-signals) (2026-05-09): When Klaviyo revenue percentage stalls below thirty percent of total brand revenue, the architecture work is incomplete in a predictable way.
- [The Lighthouse-100 rebuild every founder is afraid to fund](https://www.arthea.ai/blog/lighthouse-100-rebuild) (2026-05-09): A 92 on Lighthouse site converts measurably worse than a 100. The cost of closing the gap is what makes founders flinch and what compounds over a year.
- [Five n8n workflows your finance team will never tell you about](https://www.arthea.ai/blog/n8n-workflows-finance-team) (2026-05-09): The compounding automations come from finance, sales-ops, and customer-success teams that learned what is possible after the first n8n shipped.
- [Why hiring a prompt engineer is the wrong fix for bad AI output](https://www.arthea.ai/blog/prompt-engineering-misallocation) (2026-05-09): Hiring a prompt engineer is what teams do when they think their AI output is bad because their prompts are bad. Both halves of that diagnosis are usually wrong.
- [When to throw out an automation and rebuild it from the brief](https://www.arthea.ai/blog/rebuild-vs-iterate-automations) (2026-05-09): Iterating an automation that should have been rebuilt is the most expensive mistake in operations. The maintenance log has the answer.
- [The retention x CRO x content compound effect we measured](https://www.arthea.ai/blog/retention-cro-content-compound) (2026-05-09): When retention, CRO, and content are run as one program, the compound multiplier shows up in revenue. We measured it.
- [When to retire a retention flow vs iterate it](https://www.arthea.ai/blog/retention-flow-retire-or-iterate) (2026-05-09): Some flows decay because the audience changed. Others were never tuned for the audience to begin with. Different fixes.
- [Seven n8n workflows every agency should run before the next hire](https://www.arthea.ai/blog/seven-n8n-workflows-every-agency-should-run) (2026-05-09): Seven n8n workflows that pay back inside a month for any agency past five clients. What each does, what to watch, and the order to build them.
- [Why Klaviyo flows quietly stop converting, and the fixes that compound](https://www.arthea.ai/blog/why-klaviyo-flows-quietly-stop-converting) (2026-05-09): Klaviyo flows can look healthy on the dashboard while converting at half last year's rate. Five common causes, and the fastest-paying fix for each.
- [The five-step brief-to-ship process for AI content cadence](https://www.arthea.ai/blog/5-step-brief-to-ship-process) (2026-05-07): A copy-pasteable five-step loop for AI-assisted content. Same shape every week, because the leverage is the schema and the schema is boring.
- [Silent failure is the dominant failure mode of growth systems. Heartbeats fix it.](https://www.arthea.ai/blog/agents-going-quiet-isnt-resting) (2026-05-07): Silent failure is the dominant failure mode of growth systems. Heartbeats catch what triggers do not.
- [The six-field brief template that runs every weekly content cycle](https://www.arthea.ai/blog/free-the-weekly-brief-template) (2026-05-07): A copy-pasteable brief template, the same six fields Arthea ships to every specialist agent every week. No fluff, ready to paste into your own pipeline.
- [Per-token costs are trivial. Per-outcome costs are everything.](https://www.arthea.ai/blog/per-token-costs-are-trivial) (2026-05-07): AI content is cheap by the token and expensive by the outcome. Why most teams cannot compute the second number, and the four levers that fix it.
- [When an agency asked for a deck, we sent them the codebase instead](https://www.arthea.ai/blog/sent-them-the-codebase) (2026-05-07): When an agency asked for a deck, we sent them the codebase. Artifact-led sales replaces the deck for AI-native services.
- [Shipped a feature Friday. Woke up Saturday to three broken integrations.](https://www.arthea.ai/blog/shipped-friday-broke-saturday) (2026-05-07): Shipped a feature Friday. Woke up Saturday to three Slack messages. Three log fields catch what unit tests miss.
- [The weekly shipping log is the most underrated marketing artifact we publish](https://www.arthea.ai/blog/this-week-in-arthea) (2026-05-07): The weekly shipping log is the most underrated marketing artifact. Friday format, audience compounds.
- [Three growth systems we run in production. Architecture, not demo footage.](https://www.arthea.ai/blog/three-agents-shipped-meaningful-work) (2026-05-07): Three growth systems we run in production. Architecture, not vendor lists.
- [The three metrics that predict whether your content works](https://www.arthea.ai/blog/three-metrics-content-team-needs) (2026-05-07): Three metrics predict whether content earned its place in the calendar. The other two dozen produce anxiety after the fact and change nothing.
- [Why outcome pricing wins now, and what it requires structurally](https://www.arthea.ai/blog/why-hourly-billing-cant-compete) (2026-05-07): Billable hours cannot price outcomes, and outcome pricing needs execution hours cannot deliver. The three structural changes that made it viable.
- [Les outils ne scalent pas. Les systèmes, si.](https://www.arthea.ai/fr/blog/les-outils-ne-passent-pas-a-l-echelle) (2026-07-01): La plupart des marques ne calent pas par manque d'outils. Elles calent parce que leurs outils n'ont jamais été câblés en système. Voici comment nous voyons la différence.
- [Le moteur de rétention](https://www.arthea.ai/fr/blog/le-moteur-de-retention) (2026-06-24): Le trafic se loue. La rétention se construit. Regard sur l'architecture de lifecycle qui transforme un premier achat en revenu récurrent, de façon prévisible et sans dépendre des remises.
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## Languages

The site is fully available in English (default, https://www.arthea.ai) and French (https://www.arthea.ai/fr).

## Company

- [Careers](https://www.arthea.ai/careers)
- [Legal Mentions](https://www.arthea.ai/legal-mentions)
- [Privacy Policy](https://www.arthea.ai/privacy-policy)
- Contact: valentin@arthea.io · privacy: privacy@arthea.ai · WhatsApp +356 7901 5709