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Alerts that reflect reality

Email-authentication, low-credit, and delivery-stalled alerts now reflect live reality instead of stale or mis-prioritized data, and Review campaign links jump to the right campaign.

Alerts only help if you can trust them. A run of false alarms — "domain not authenticated" when your records were fine, "low credit" when you had just been refunded, "delivery stalled" on a campaign that was actively sending — was eroding that trust, and a few alert buttons were sending you to the wrong screen.

What was happening

Several alerts were reading from the wrong source or applying the wrong threshold. The email-authentication advisory checked a saved snapshot of your SPF, DKIM and DMARC records rather than what is actually published in DNS right now — so if you had fixed your records but never re-ran the in-app verify, or never had a saved record at all, it kept warning you that your domain was not configured. That stale-snapshot case was the most common false positive of the bunch, and it is exactly the kind of warning that trains you to ignore the warnings. The low-credit alert looked only at spend, so it could fire even when refunds had outpaced your spending and your balance was flat or rising — telling you to top up at the very moment your balance was actually recovering. A draft backlog sitting behind a campaign that was still delivering normally was treated as a critical "campaign delivery stalled" even though delivery had not stopped; a queue catching up was being reported with the same urgency as a campaign that had genuinely ground to a halt. And the "Review campaign" button in alerts dropped you on the full campaigns list instead of the campaign that triggered the alert, so you had to find it yourself before you could act.

What we fixed

Each alert now reflects reality. The SPF/DKIM/DMARC advisory is decided from a live DNS lookup at the moment it is evaluated, so it clears as soon as your records are genuinely in place — whether or not you ever re-ran the in-app verify, and even if you had no saved record before. The low-credit alert now considers net burn: if your refunds equal or exceed your spend, it stays quiet instead of crying wolf. A draft backlog behind a campaign that is still actively delivering now surfaces as a warning, not a critical delivery-stalled alarm, so you can tell a genuine stoppage from a queue that is simply catching up. And every "Review campaign" link now deep-links straight to the specific campaign that raised it.

Why it matters

When alerts are accurate, you act on them. You stop chasing a domain-authentication warning that was already resolved, you stop seeing low-credit panic right after a refund, and a real delivery stall is no longer buried among false criticals. And when something does need your attention, one click takes you to the exact campaign instead of making you hunt for it.

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Instalar con IA

Tu agente de código configura la CLI y las skills de FirstSales por ti.

Prompt para 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.