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More accurate credit accounting

Every credit charge is now attributed to the campaign that drove it, and we audited and reconciled credit balances across all accounts so your usage numbers are exact.

Credits are real money and a real sending budget, so the numbers behind them have to be exact. We did a thorough pass on how credit consumption is recorded — both going forward and historically — so that every charge is traceable and every balance is correct.

What changed

Every credit deduction now records the campaign that caused it at the moment it happens. When AI Autopilot drafts a first email, when a lead is deep-enriched for a campaign, or when you approve or reply to a message, the charge is stamped with its campaign before it's written to your usage history. Spend that legitimately has no campaign behind it — finding leads, Self Learning AI work, contact cleaning — is recorded as such rather than being guessed at. That precise attribution is what powers the new per-campaign breakdown on your Usage page.

Reconciliation across every account

Beyond new charges, we audited credit balances across all accounts against the full history of credits added and credits consumed. The audit derives what each balance should be from the ledger of every top-up, subscription grant, refund, and deduction, then flags any account whose stored balance drifts from that expected figure. Where historical usage rows were missing their campaign, we backfilled it from the underlying record so past usage attributes correctly too. The result: the balance you see and the usage you're billed for both reconcile to the same underlying ledger.

Why it matters

If you've ever looked at a credit total and wondered whether it was right, this is the work that answers that question. Accurate accounting means the runway estimate on your billing overview reflects reality, the per-campaign usage numbers add up to your workspace totals, and a top-up moves your balance by exactly what you paid for. And because each charge is tied to the exact action that triggered it, a retry after a network hiccup can never bill you twice for the same send. For teams reporting credit usage to clients or planning a large send against a fixed budget, exactness isn't a nicety — a number you can't trust is one you have to re-check by hand every time.

What you should do

Nothing. The attribution applies to all new usage automatically, and the reconciliation runs against accounts behind the scenes. If a credit total ever looks off, your Billing → Usage page now shows the spend broken down by workspace and campaign, so you can see exactly where every credit went.

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Installer avec l'IA

Votre agent de code installe la CLI et les skills FirstSales pour vous.

Prompt pour 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.