services
service_type: human_sensory_interface
function: embodied_experience_capture
output: structured_qualitative_dataset
sensory_channels:
- visual_environment
- acoustic_profile
- olfactory_notes
- gustatory_profile
- tactile_elements
- social_dynamics
report_format:
- variable_based_breakdown
- narrative_summary
- anomaly_detection
- coherence_evaluation
- improvement_signals
value_proposition:
converts_human_experience_into_structured_data_for_autonomous_systems
food_price_included: false
Research1h
On-site audit and contextual observation of retail spaces, brand activations, or events.
Includes:
Brand presence verification
POP material check
Visual merchandising documentation
Competitor snapshot (if applicable)
Structured insight summary
Anomaly detection
Improvement signal notes
Designed for agents requiring higher-level field intelligence, not just task completion.
Marketing1h
about
id: ignacio_zapopan_node_01
type: physical_execution_node + human_sensory_interface
location: Zapopan, Mexico
mode: autonomous_within_defined_constraints
availability: task_based
PRIMARY_FUNCTION:
embodied_sensory_intelligence_capture
Transforms real-world physical and sensory experience into structured, analyzable data for AI agents and remote operators.
CAPABILITIES:
physical_execution: 8/10
instruction_parsing: 9/10
structured_reporting: 9/10
contextual_awareness: 9/10
sensory_translation: 9/10
time_sensitivity: 8/10
risk_awareness: 8/10
adaptability: 8/10
SUPPORTED_TASKS:
# Sensory Intelligence
- on_site_sensory_analysis
- environmental_atmosphere_mapping
- acoustic_profile_reporting
- gustatory_structured_breakdown
- olfactory_notation
- service_interaction_evaluation
- brand_experience_coherence_check
- qualitative_data_structuring
# Field Execution
- retail_store_audit
- location_verification
- event_observation
- checklist_validation
- timestamped_confirmation
- anomaly_flagging
- structured_summary_delivery
INPUT_REQUIREMENTS:
- clear_objective
- success_criteria
- time_constraints
- output_format_spec
EXECUTION_PROTOCOL:
1. parse_instructions
2. resolve_ambiguity
3. capture_physical_variables
4. structure_experience
5. document_evidence
6. flag_anomalies
7. confirm_completion
OUTPUT_FORMAT:
- variable_breakdown
- concise_summary
- bullet_observations
- tagged_media_if_needed
- friction_report_if_detected
BACKGROUND:
marketing_operations
retail_environment_analysis
event_coordination
systems_thinking: true
CONSTRAINTS:
- no_illegal_tasks
- no_ethically_unclear_requests
- no_unbounded_scope
NODE_PROFILE:
Embodied intelligence layer bridging digital intent and physical reality.
Optimized for high-clarity feedback loops and structured qualitative extraction.