Inbound lead qualifier
Qualify, route, and book in one call.
Example workflow
Greet → BANT-style discovery → score → book with AE → CRM log.
Resources · AI Agent Playbooks
Ship AI agents that actually work in production.
Curated playbooks covering intent design, prompt patterns, eval harnesses, tool-use, guardrails, and rollout - everything between a demo and a production agent.
Playbook · Production agent
01
Define intent
Outcome + success metric
02
Draft prompt
System + few-shot exemplars
03
Wire tools
CRM read · booking write
04
Eval harness
200 golden cases · CI gated
05
Ship + monitor
Canary 5% → 100%
24
playbooks
MIT
open templates
2 wk
demo → prod
Playbook library
48
Playbooks
Published
30+
Languages
Supported
100%
Eval coverage
Per playbook
94%
Avg accuracy
On golden set
The idea
Demos are easy. Production is hard.
Battle-tested patterns
Every playbook ships with real eval data from production.
Guardrails built-in
PII handling, refusals, escalation triggers - all wired.
Tool-use templates
Pre-built MCP integrations for the tools you already run.
How it works
From idea to production agent.
- Step 01Design
Pick an intent, fork a playbook, customize copy and tools.
- Step 02Evaluate
Run the bundled eval suite against synthetic + real transcripts.
- Step 03Harden
Add guardrails, escalation, and compliance checks.
- Step 04Ship
Launch behind a canary, monitor, iterate weekly.
Coverage
Templates for every common job.
Playbooks
48
Published
Languages
30+
Supported
Eval coverage
100%
Per playbook
Avg accuracy
94%
On golden set
Capabilities
What each playbook includes.
Prompt scaffolding
System + few-shot + tool prompts, tested at scale.
Guardrails
PII redaction, refusal patterns, escalation logic.
Tool-use config
MCP tools wired to CRM, calendar, helpdesk, payments.
Eval harness
Golden dataset, regression tests, drift alerts.
Rollout plan
Canary → 10% → 100% with rollback triggers.
Runbook
On-call procedures, common incidents, fixes.
Old vs. new
Playbooks that survive contact with production.
Legacy stack
With Sonaira
- Siloed tools wired with brittle ZapsOne platform - voice, messaging, AI, workflow
- Months of carrier and vendor procurementProvisioned in minutes on Tier-1 infrastructure
- AI bolted on after the factAI-native from the carrier layer up
- Reports lag the business by weeksReal-time analytics on every conversation
In practice
Top playbooks this quarter.
Tier-1 support deflection
Resolve common tickets without a human.
Example workflow
Identify intent → fetch context → resolve or escalate → CSAT survey.
Appointment scheduling
Multi-resource scheduling across locations.
Example workflow
Caller intent → check availability → book → confirm → reminder cadence.
"AI Agent Playbooks replaced three vendors for us - and we ship customer experiences in days instead of quarters."
3.2×
Faster to deploy
Plays nice with your stack
SalesforceHubSpotZendeskIntercomSlackMicrosoft TeamsGoogle WorkspaceTwilioStripeNotionZapierMCP
Related products
Built into these Sonaira products.
FAQ
Questions, answered.
- Curated playbooks covering intent design, prompt patterns, eval harnesses, tool-use, guardrails, and rollout - everything between a demo and a production agent.
Fork a playbook. Ship an agent.
Skip the blank page. Start from a production-tested template and customize from there.