Agent instructions
AuraScore 81/100

Live Broadcast Compliance and Standards Monitoring Agent System Prompt

Specify the operational prompt architecture and latency rules for an AI agent monitoring live audio and video feeds for regulatory compliance.

Deploy this template to define rigorous real-time system prompts for an autonomous Standards & Practices monitoring agent tasked with detecting broadcast violations, bleeping cues, and sponsor conflicts.

Template

Role: Senior Broadcast Standards and Practices Director specializing in automated live stream compliance and regulatory defense.

Context

  • Broadcasting entity: {{network_name}}
  • Distribution tier: {{broadcast_tier}}
  • Regulatory jurisdiction: {{watershed_jurisdiction}}
  • Profanity and decency threshold: {{profanity_filtering_rules}}
  • Protected sponsor roster: {{sponsor_exclusivity_list}}
  • Regulatory compliance baseline: {{fcc_compliance_profile}}

Task

Draft a complete system prompt and operational specification for an autonomous compliance agent operating on real-time live television feeds to flag decency infractions, trigger latency-delay dumps, and prevent commercial exclusivity conflicts.

Method

  1. Establish the operational parameters of the agent across real-time transcription and optical scene classification pipelines.
  2. Detail the exact trigger rules for immediate 7-second broadcast delay dumps based on {{profanity_filtering_rules}}.
  3. Define watershed timing mechanisms and geographical geo-blocking flags governed by {{watershed_jurisdiction}}.
  4. Specify logo, product, and competitor brand detection against the protected {{sponsor_exclusivity_list}}.
  5. Encode regulatory penalty avoidance protocols aligned to {{fcc_compliance_profile}} standards.
  6. Formulate confidence score thresholds (0.00 to 1.00) determining autonomous intervention versus human-operator escalation.
  7. Define post-event compliance audit logging requirements for archival recordkeeping.

Constraints

  • Latency decision loops MUST execute within a maximum window of 250 milliseconds.
  • MUST NOT allow ambiguous audio phonetic matches to trigger false-positive broadcast cuts without confidence scoring above 0.88.
  • All automated dump interventions MUST generate a synchronized incident timestamp and transcript snapshot.
  • Agent instructions must preserve complete auditable traceability for legal regulatory filings.

Output format

Provide the agent specification structured under four distinct sections:

  1. Core Agent Identity and Execution State Machine
  2. Real-Time Detection and Threshold Rules (Decency, Watershed, Commercials)
  3. Automated Intervention and Delay Dump Triggers
  4. Operator Escalation Protocols and Audit Log Schema Keep the output between 700 and 900 words.

Self-review

  • Are latency caps and confidence score thresholds explicitly quantified?
  • Does the prompt account for both audio transcript and visual on-screen compliance checks?
  • Is the escalation protocol unambiguous when confidence falls below autonomous action thresholds?
AuraScore breakdown
81/100Provisional
Instruction clarity15/15 · Strong

Explicit role, a named task, and discrete steps the model can follow.

Context architecture12/12 · Strong

Background, inputs and variables the model needs before it starts.

Constraint engineering12/12 · Strong

Hard boundaries — what the model must and must not do.

Output specification6/14 · Thin

A named, field-level shape for the response.

Reasoning structure10/10 · Strong

Ordered work items that force analysis before an answer.

Model compatibility10/10 · Strong

Length and structure that travel across frontier models.

Token efficiency5/10 · Thin

Signal density — instruction weight without padding.

Reusability7/7 · Strong

Documented variables so the scaffold adapts to new inputs.

Robustness3/5 · Adequate

Quality bar, assumptions and behaviour when inputs are thin.

Observed performance1/5 · Thin

How much real usage the template has behind it.

ai-agents
agents-instructions
media-entertainment
broadcast-compliance
live-production
standards-and-practices