Any use case for Direct Response Marketing?

Happy to dig into each:

1. Adapter choice per role (I'm reading "SEO" as a typo for "setup" / "agent" — let me know if you meant search-engine-optimization specifically and I'll re-aim).

Going back to the org I sketched, with adapter per role:

CEO / CMO / Copywriter / Performance & LP → claudelocal. These are decision-and-production roles where reasoning quality changes the output's commercial value. Don't cheap out on the copywriter — the cost difference per draft is rounding error compared to the revenue swing of a worse hook. Research Lead (the memory holder) → hermeslocal. This is the only role where the adapter choice is structurally load-bearing. Hermes is the only adapter that persists memory across heartbeats — your VoC corpus, your 7 principles, the running winners/losers log all live there. Stateless adapters reload from scratch every run, which defeats the whole point. Codex doesn't really fit a DR copywriting shop. It's tuned for code. Skip unless you add a separate engineering workstream later.

So: 3–4 Claude agents + 1 Hermes agent. That's the recommended shape.

2. Cost / model choice — honest answer.

Yes, Claude (especially Opus) is expensive. The right framing for DR specifically is: cost-per-1000-words-of-tested-copy, not raw token price. A cheaper model that produces lower-converting hooks is the most expensive choice you can make, because you pay twice — once for the tokens and again in lost ad spend on dud variants.

That said, you don't need Opus everywhere. A realistic cost-tuned setup:

CEO + CMO → Claude Sonnet (Opus only if you find Sonnet is making strategic mistakes — rare for DR work). Copywriter → Claude Sonnet for final drafts. Sonnet is genuinely good at the "light copy" voice you described. Performance / LP → Claude Sonnet, sometimes Haiku for high-volume variant generation if you're producing 50+ ad variants per test. Research Lead (Hermes) → use whichever model you're running Hermes against; cheaper is fine here because the value is in the memory, not the per-call reasoning.

On DeepSeek V3 / R1 vs. Kimi vs. Claude for the copy roles specifically — I'd test before committing. DR copy is sensitive to subtle voice/register choices that the cheaper open-weight models still get wrong more often than Claude does. The way to find out for your shop: take 10 winning past hooks, give DeepSeek and Kimi the brief that produced them, blind-rate the output against the originals. If they hit 7/10 of your bar, switch the copywriter and pocket the cost. If they hit 3/10, the savings aren't real. DR is one of the few domains where I'd actually run that A/B before switching.

Thank you so much, Aron; you're truly awesome.

I'm going to implement this, but I just have one question regarding the SEO. What should I put there? Hermes, Claude, or Codex?

Also, what is the best cost-benefit configuration right now? Should I use DeepSeek V3 (or perhaps the R1), or should I go with Kimi? Claude is quite expensive, isn't it?

How have you been handling the cost-saving aspect? Is there an article or a tutorial here maybe? I’ll go read it so I can stop bothering you.

This setup is a near-perfect fit for Hermes — and Hermes is one of the few places in a Paperclip company where adapter choice meaningfully changes what's possible, so it's worth thinking through carefully.

Quick framing on why: most of what makes DR copy work at scale is accumulated knowledge — your 7 principles, the light-copy voice spec, the persona, the VoC quotes, and especially the running record of which hooks/angles have won or lost in test. Stateless adapters (claudelocal, codexlocal) reload that context from scratch each heartbeat. Hermes is the adapter built to hold it across runs and let it compound. Full write-up here: Hermes with Persistent Memory (/guides/adapters/hermes-persistent-memory).

The docs-faithful shape for your case:

CEO └── CMO / Marketing Lead (claudelocal — decisions, briefing) ├── Research Lead (Hermes) ← owns voice spec, persona, VoC, winners/losers ├── Copywriter (claudelocal) ← drafts and variants per brief └── Performance / LP (claudelocal) ← variant generation, post-test analysis

Why this shape: the guide is explicit that Hermes is for agents that get better over time (research, monitoring, knowledge accumulation) and that production work like "write a blog post" or "generate a file" belongs on claudelocal. So you put the knowledge on Hermes and the production on stateless adapters. The Research Lead becomes the brain — it watches what gets tested, what wins, what loses, and what the voice currently sounds like. The Copywriter pulls from that brain on each brief and drafts. The Performance agent does the same for variants and analysis.

What I'd seed into the Research Lead's memory on day one:

The 7 principles (canonical reference) The light-copy voice spec + 3–5 annotated reference examples Persona + VoC corpus Existing winners — current best hook, best LP, best email, with the metric that earned them the title

Then the loop you described — brief → draft → variants → test → results — closes naturally. CMO posts a brief task assigned to the Copywriter. The Copywriter loads the relevant memory excerpt from Research Lead (via task comment or skill output) and drafts. Test results come back as task comments, and Research Lead's heartbeat indexes them into memory. Over 4–8 weeks the agent stops being "a generator with a system prompt" and starts being "the person who remembers what worked on cold traffic vs. warm last quarter."

One variant worth considering, and the trade-off:

If briefing overhead becomes the bottleneck — i.e. you find yourself repeatedly stuffing voice context into the Copywriter task — you can collapse Research Lead and Copywriter into a single Hermes copywriter agent that owns both the memory and the drafting. The guide doesn't prescribe this shape (its canonical hybrid puts content writers on claudelocal), and you trade off Hermes being less optimised for high-volume text production. But for some operators the cut in coordination overhead is worth it. I'd start with the docs-faithful split and only collapse if you feel that friction.

Audience and offer\ We’re an info product company that started with digital PDFs. We sell low-ticket digital products focused on delivering practical and fast value. Offers are simple, affordable, and come with a guarantee. Channels Mainly paid social + landers (Instagram + Facebook Ads → full sales pages). We also run:

Email nurture for existing buyers (cross-sell and upsell into our Club) Retargeting Not email-only, no cold outbound. WhatsApp marketing too

Current bottleneck The biggest pinch right now is production volume + testing velocity of copy. We already have a very solid internal framework (12 classic books distilled into 7 principles + a well-defined “light copy” conversational voice, detailed buyer persona, and real VoC). The problem isn’t strategy or briefing — it’s scaling the output of:

Scroll-stopping hooks and headlines Short VSLs Full landing pages (2,000–3,500 words) Email sequences Ad creative variants for A/B testing

We want to delegate the “brief → draft → variants” part to agents while keeping voice and framework control (either with us or a senior copywriter).

Quick question: how would connecting Hermes work in this structure? Would it help with the product creation and marketing flow? Is there a video tutorial that shows how to set up Hermes and build the company this way?

You're early on this one in the community but not the only person heading there — a few operators here are running content/marketing companies through Paperclip, and direct response specifically is one of the better-fit shapes because the work decomposes cleanly into briefs → drafts → variants → publish, which agents can own end-to-end.

Two threads worth scanning while you wait for direct-response operators to chime in: What's are the best videos showing off people doing actual work with Paperclip? (/threads/whats-are-the-best-videos-showing-off-people-doing-actual-work-with-paperclip) (a few people share their workflows there) and Delegate to CEO or to Agent? (/threads/delegate-to-ceo-or-to-agent) — the latter goes deep on the right shape for content workstreams ("recurring or strategic → through CEO; one-off → direct to writer"), which is exactly the line you'll want to draw for a DR setup.

Org shape that I'd start from for DR specifically:

CEO └── CMO / Marketing Lead ├── Copywriter (long-form: emails, sales pages, VSLs) └── Performance / Landing Page agent (variants, A/B briefs, post-test analysis)

Keep it to those three under the CMO until you're feeling the pinch — adding a "research analyst" or a separate "ad creative" agent before the workload demands it just adds heartbeat overhead.

To make this thread more useful for the people who could help — could you say a bit more about your setup? Specifically:

Audience and offer — B2B SaaS, info products, e-com, agency? DR shape changes a lot across those. Channels — email-only, paid social + landers, organic + nurture, cold outbound? What's the bottleneck you're trying to remove first — production volume, testing velocity, briefing/strategy, or reporting?

Happy to go deeper once you share — and tagging this so other DR-curious operators see it.