The AI said something wrong
A support reply went out with the wrong product name. A lead follow-up offered a 50% discount. It wasn't a Make error — the API call succeeded. Nobody caught it.
One workspace per client. Isolated rules, logs, and alerts. Catch bad AI outputs before they damage a client relationship — and turn monitoring into a service you charge for.
Free plan available · Starter begins at $29/workspace/month · Pro at $79/workspace/month
Every Make agency has faced this
Make has no built-in way to check whether the AI said something correct, on-brand, or safe. That's your responsibility — and your reputation.
A support reply went out with the wrong product name. A lead follow-up offered a 50% discount. It wasn't a Make error — the API call succeeded. Nobody caught it.
The worst way to learn about a bad AI output is when your client's customer complains. By then the damage is done and the relationship is at risk.
You're running scenarios for 5, 10, 20 clients. You can't review every AI response. But you need to know the moment something goes wrong.
Designed for agencies
Switch between clients in one click. Each one sees only their own data.
1,240 logs this month
⚠2 flagged380 logs this month
All clear5,820 logs this month
⚠1 pending reviewBuilt for agencies
Every client gets their own isolated workspace: separate webhook, separate rules, separate logs. You manage all of them from one account.
Set different guardrails per client. One client bans the word 'guarantee'. Another requires all replies under 150 words. No cross-contamination.
Add your client as a member of their workspace. They can review flagged outputs themselves without ever seeing another client's data.
Show clients a pass/fail dashboard for their AI workflows. Turn monitoring into a deliverable and justify your retainer with data.
Pause Make scenarios on flagged outputs. A human — you or your client — reviews and approves before the workflow resumes.
Pass the $49/mo cost directly to your client as part of your service fee. Most agencies mark it up 2–3× as 'AI quality assurance'.
Common use cases
Customer support automation
Risk: Wrong info, off-brand tone, unauthorized refunds
Lead follow-up sequences
Risk: Overpromising, wrong pricing, unqualified claims
Invoice & document generation
Risk: Wrong numbers, missing fields, incorrect dates
Content drafting pipelines
Risk: Hallucinated facts, brand guideline violations
Internal operations (HR, finance)
Risk: Compliance risks, sensitive data mishandled
The math
Most agencies charge $100–150/month per client for AI quality assurance. Tracira Pro costs $79. The math is still obvious.
Agency example — 5 clients
Plus: clients who see quality dashboards retain longer and refer more.
Simple pricing
Free to start. Starter at $29/workspace/month. Pro at $79/workspace/month — pass the cost to clients or bundle it.
Free
per month · forever
Starter
per month · billed monthly
Pro
per month · billed monthly
7-day retention on Free · 30-day on Starter · 90-day on Pro · credits reset monthly, no rollover
Paid subscriptions renew until canceled. Fees are non-refundable except where required by law.
Everything you need to know before rolling this out to your first client.
Free to start. Add a Pro workspace per client when you're ready to charge for it.