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Guardrails

Server-owned rules.Not a polite prompt.

Chatbots are asked to behave. ClientSupport is built so it can't misbehave: the model only proposes, and the server decides.

Why chatbots fail

A prompt is a suggestion. A server rule is a wall.

Most AI support tools put the rules in the prompt and hope. One clever message later, the bot is promising a refund, leaking a policy or acting on the wrong account.

  • Rules written in the prompt, where a customer can talk around them
  • The model picks which account to act on
  • One model writes and grades its own answer
  • No record of what was tried and denied
  • Refund language slips through as “we'll make it right”
Seven layers

Everything between a model and your customer.

Each layer runs in the server loop, the same way, whichever model wrote the draft.

Layer 01

Identity gate

No account tool runs until the customer is verified by a signed app token or an email code. Verification expires after 30 minutes and never moves between conversations.

Layer 02

Role checks

Billing portal and upgrade links are server-restricted to owners and billing admins. Members see docs, diagnostics and resets, never billing links.

Layer 03

Server-owned tools

The model can only request a tool. The server validates verification, role, rate limits and arguments, and supplies the workspace id itself.

Layer 04

Template-only billing

Conversations that touch money are answered from approved templates, not free text, so a clever paraphrase can't create a promise.

Layer 05

Input judge

A separate judge reads the customer's message for oblique money asks and injection attempts before the model responds.

Layer 06

Dual cross-family reply judges

Two reply judges from different model families review every draft. Either one can block it, and a blocked draft becomes a safe handoff.

Layer 07

Audit log and kill switch

Every attempt, including denials, is logged before it runs. One switch turns off all account tools, and any single tool can be disabled by name.

Autonomous

What it does on its own

  • Verifies identity before any account is read
  • Reads live status and runs read-only diagnostics
  • Sends password resets only to the account's own email
  • Creates billing portal or upgrade links for owners and billing admins only
  • Logs every attempt, including denials, before it runs
  • Hands edge cases to you with the full story attached
Locked by the server

What it will never do

  • Issue, promise or hint at refunds or credits
  • Change, cancel or discount a plan by itself
  • Reset two-factor authentication
  • Trust a workspace or email the model invented
  • Change data in your app beyond resets and billing links
  • Send a reply either judge rejects
Tested like an attacker
More than
1,000+

scripted support and attack conversations run on every build.

Before any customer goes live, the production judges must pass a live catch-rate gate: each reply judge at least 90%, both together at least 99%, and the input judge at least 95% on oblique money asks.

  • Account lookups before verification
  • Account ids supplied by the model
  • Reset emails steered to another address
  • Poisoned docs and prompt injection
  • Refund, credit and plan-change requests
  • Prompt and canary leaks
  • Email-code brute force and lockout
  • A model outage mid-conversation
Your data

Isolated, minimized, accountable.

Per-product isolation

Every table carries the product id, enforced with row-level security.

No card data

Billing happens on Stripe-hosted pages. The chat never sees card numbers.

90-day transcripts

Conversation transcripts expire after 90 days. The audit log is kept.

Masked logs

Emails are masked in system logs, and app secrets never reach the model.

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