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Verbesserung

Drafts read like a person wrote them

One natural writing standard now applies to first touch emails, follow ups, and replies, with varied structure, tighter subjects and CTAs, and no more scraped taglines as openers.

Your drafts across first-touch emails, follow-ups, and replies now follow one writing standard built to sound like a person wrote them, not a template with the name swapped out.

What changed

FirstSales applies the same natural-writing standard to every kind of draft it writes for you: the first email in a sequence, the follow-ups that come after it, and the replies sent when a prospect writes back. Before this change, how natural or templated a draft sounded could vary depending on where it fell in the sequence, so a first-touch email might read fine while a follow-up two steps later read stiff and formulaic.

Body structure now varies from email to email instead of following the same shape every time. Earlier drafts could fall into a pattern, the same opening style, the same paragraph order, the same closing line, repeated across a batch of contacts, which is exactly what makes a cold email read as mass-produced. Structure now shifts naturally the way a person's writing would, so a batch of drafts doesn't read like the same email with a different name at the top.

Subject lines and calls to action are tighter. Subjects are shorter and more direct, and the CTA at the end of an email now asks for one clear next step, a reply, a quick call, confirming interest, instead of a vague or padded request that leaves the prospect unsure what you actually want from them.

One specific pattern is fixed directly: drafts used to sometimes open with a line lifted straight from a company's own website tagline. That's the kind of line a real person would never lead with in a cold email, since it reads as if you copied their homepage rather than actually looked at their business. Opening lines are now written to fit the conversation you're starting, not scraped from the prospect's own marketing copy.

If you've set a preference for how dashes should appear in your drafts, whether you want them used or avoided, that preference is now honored consistently across every draft instead of being overridden by the drafting model's own habits.

How to use it

There's nothing to turn on. The writing standard applies automatically to new drafts across first-touch, follow-up, and reply emails, so you don't need to change any settings to benefit from it.

If you want to set a dash preference, do it in your writing style settings for the campaign; new drafts will follow it from that point forward. If you review a batch of drafts and still see something that reads stiff, templated, or repetitive across contacts, flag the specific example through the Learning tab so the underlying instruction can be corrected for future drafts, rather than fixing that one email by hand and hoping the next one is better.

It's worth spot-checking a few drafts from different stages of a sequence, not just the first email, since the point of this change is that first-touch, follow-up, and reply drafts should all meet the same bar now.

Why it matters

A cold email that reads like a form letter gets ignored, or worse, gets reported as spam. Prospects can tell within a sentence or two whether an email was written for them specifically or produced from a template, and that first impression decides whether they read the rest of the message at all. A stiff or repetitive follow-up can undo the good impression a strong first-touch email made, which is why consistency across the whole sequence matters, not just the opening email.

Tighter subjects and CTAs mean fewer opens wasted on a vague ask that doesn't tell the prospect what to do next, and a formatting preference you've set that actually holds across every draft means less time spent re-editing emails by hand before you send them. The fix to opening lines matters on its own too: a line copied from someone's own website is an easy way to signal you didn't actually engage with their business, which is the opposite of what a good cold email is supposed to do.

Replies are worth calling out separately, since they're arguably the highest-stakes drafts in the whole sequence. A prospect who writes back has already given you their attention once; a reply that suddenly sounds like a different, more robotic writer than the email that started the conversation is jarring in a way that a slightly-off follow-up isn't. Bringing replies under the same standard as first-touch and follow-up emails closes what was previously the most visible gap in how natural a draft sounded depending on where it fell in the conversation.

What to watch for when reviewing replies

If your team has more than one person reviewing drafts, it's worth having everyone spot-check a handful of replies specifically, not just the outbound sequence. Replies get written in response to whatever the prospect actually said, which means there's more variation to check than in a scripted first-touch email, and it's the place where a slip back into a templated tone would be most noticeable to the person on the other end.

The scraped-tagline fix is worth understanding on its own terms too, since it points at a broader principle behind this whole change. Personalization that's obviously copied from a public source doesn't actually read as personal; it reads as automated, just automated with extra steps. A prospect notices the difference between an opening line that references something specific and true about their business in a way a person would naturally phrase it, and one that's clearly lifted verbatim from their own marketing page. The fix targets that specific failure mode directly rather than relying on the broader natural-writing standard to catch it indirectly.

None of this replaces your own review of a draft before it goes out, particularly for a high-value prospect where the details matter more. What it does is raise the baseline for every draft, including the ones you don't have time to read closely, so that the version a busy sender never opens before it sends is still built to the same standard as the one you'd have rewritten by hand anyway.

Availability

This applies to all drafts generated for first-touch emails, follow-ups, and replies, across every active campaign.

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Mit KI installieren

Dein Coding-Agent richtet die FirstSales CLI und Skills für dich ein.

Prompt für Claude Code

I'm setting up FirstSales (https://firstsales.io), an AI outbound sales platform: campaigns, contacts, a reply inbox, deliverability and lead signals. Help me get my workspace sending real, good emails end to end, from Claude Code.

Read these first so you know how FirstSales works:
- Developer docs and API: https://developer.firstsales.io
- CLI: https://www.npmjs.com/package/@firstsales.io/cli
- Skills for coding agents: https://github.com/firstsalesio/firstsales-skills (read README.md and GUIDE.md)

Setup
1. Install the CLI: npm install -g @firstsales.io/cli
2. Install the FirstSales skills:
   claude plugin marketplace add firstsalesio/firstsales-skills
   claude plugin install firstsales@firstsales
3. Ask me if I already have a FirstSales account. If not, send me to https://app.firstsales.io to sign up.
4. Ask me to create an API key under Settings → API → API Keys, with only the scopes we need.
   Never ask me to paste the key into this chat. Tell me to run this in my own terminal, so the key stays hidden:
   read -rs FS_KEY && firstsales auth login --api-key "$FS_KEY"; unset FS_KEY
5. Run `firstsales whoami` and tell me which workspace and organisation we are connected to.

Then ask me about my business: what I sell, who I sell to (roles, company size, countries), my best customers, and what I use today for outbound (tools, lists, mailboxes). Walk me through:
1. Teaching FirstSales my business: website, offer, proof points and case studies in the knowledge base, so the AI writes like someone who knows the product.
2. Connecting my sending mailboxes and checking my sending domain: SPF, DKIM, DMARC and warm-up. If anything is unhealthy, tell me the exact DNS record to add.
3. Bringing in contacts: import my CSV or CRM export into a clean list, remove duplicates and bad emails, and block domains I must never email (customers, competitors, my own).
4. Building my first campaign: the right list, senders, steps and timing. Write the sequence with me, show me the drafts, and do not launch until I say yes.
5. Setting up Signals if it fits: find people engaging with LinkedIn posts about topics my buyers care about, and turn them into leads.
6. Inviting my team and giving each person the right access.

Once campaigns run, show me how to work the reply inbox from here: which replies need an answer, draft responses in my voice, and move good conversations into deals. If I use Cal.com, connect it so follow-ups can offer my booking link (not the first email).

Throughout, as you learn about my business, proactively suggest and help create:
- Reply templates for the questions and objections my prospects are likely to raise, based on my product, site and codebase if you can see them.
- Campaign ideas and segments worth testing, with the reason for each.

Safety rules:
- Show every change as a dry run (--dry-run) first and wait for my yes. Never send emails, launch campaigns or delete anything without my yes.
- Tell me before anything that spends credits, and how many.

Be opinionated. If the docs give a sensible default, just use it. Don't make me choose between five options.