Dashboard

{created_at_str=2025-10-30 07:18:04, agent_id=db818162-fabe-4ac8-8a6a-c61223150a70, total_cost=0.0, batch_id=null, cost_breakdown={synthesizer=0, transcriber=0.0, synthesizer_breakdown={welcome_message=0, conversation=0}, llm=0.013999999999999999, transfer_cost=0.0, platform=0.0, transcriber_breakdown={analytics=0, conversation=0.0}, network=0.0, llm_breakdown={analytics=0, summarization=0.013999999999999999, extraction=0, conversation=0, hangup=0}}, created_at=2025-10-30T07:18:04.08, scheduled_at=2025-10-30T07:18:04.079974, custom_extractions=null, telephony_data={duration=0.0, to_number=+918506078834, provider_call_id=bfc9534f-b779-44a8-96e8-4f49f23a6f49, hosted_telephony=true, recording_url=null, provider=plivo, hangup_provider_code=null, from_number=+918035316264, call_type=outbound, hangup_by=null, hangup_reason=null}, context_details={recipient_phone_number=+918506078834, recipient_data={recipient_phone_number=null, review_completed=null, callback_request_id=null, is_callback=null, fullName=null, resume_review_id=null, reviewDetails=null, parentBolnaId=d7d919d4-11f6-49d1-9c7a-98ca459dfcd3, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=assistant: Hi is that ?
, updated_at=2025-10-30T08:38:46.886877, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-30 08:38:46, id=ee0572d9-8b4b-46bc-a90d-593265669947, campaign_id=null, summary=User: Yes, this is [user's name]. 
Agent: How can I assist you today? 
User: I have a question about my recent order. 
Agent: Sure, what would you like to know? 
User: I want to check the status of my order. 
Agent: Let me pull up that information for you. 
User: Thank you. 
Agent: Your order is currently being processed and should be shipped within the next 2-3 business days. 
User: Great! Thank you for the update. 
Agent: You're welcome! Is there anything else I can help you with? 
User: No, that's all for now. 
Agent: Alright, have a great day! 
User: You too, bye! 
Agent: Goodbye! 

### Summary:
The user contacted the agent to inquire about the status of their recent order. The agent informed the user that the order is being processed and will be shipped within 2-3 business days. The user thanked the agent and ended the conversation., error_message=null, rescheduled_at_str=null, agent_extraction=null, transfer_call_data=null, parsedAgentExtraction=null, smart_status=null, conversation_duration=7.0, usage_breakdown={transcriber_usage_breakdown={transcriber_duration=0, provider_connected=false}, transcriber_duration=0, transcriber_model=nova-3, synthesizer_characters=0, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=true, welcome_message_characters=0}, transcriber_provider=deepgram, synthesizer_model=eleven_turbo_v2_5, llmModel={gpt-4o-mini={output=229, input=6}, azure_gpt-4_1-mini={output=0, input=0}}, llmTokens=0, llm_usage_breakdown={analytics=null, summarization={output=229, input=6, provider_connected=false, provider=azure, model=gpt-4o-mini}, extraction=null, conversation={output=0, input=0, provider_connected=false, provider=azure, model=azure/gpt-4.1-mini}, hangup=null}, synthesizer_provider=elevenlabs}, workflow_retries=null, rescheduled_at=null, scheduled_at_str=2025-10-30 07:18:04, status=completed}

{created_at_str=2025-10-30 07:18:04, agent_id=db818162-fabe-4ac8-8a6a-c61223150a70, total_cost=0.01, batch_id=null, cost_breakdown={synthesizer=0, transcriber=0.0, synthesizer_breakdown={welcome_message=0, conversation=0}, llm=0.013999999999999999, platform=0, transcriber_breakdown={analytics=0, conversation=0.0}, network=0, llm_breakdown={analytics=0, summarization=0.013999999999999999, extraction=0, conversation=0, hangup=0}}, created_at=2025-10-30T07:18:04.08, scheduled_at=2025-10-30T07:18:04.079974, custom_extractions=null, telephony_data={duration=0.0, to_number=+918506078834, provider_call_id=bfc9534f-b779-44a8-96e8-4f49f23a6f49, hosted_telephony=false, recording_url=, provider=plivo, hangup_provider_code=null, from_number=+918035316264, call_type=outbound, hangup_by=null, hangup_reason=null}, context_details={recipient_phone_number=+918506078834, recipient_data={recipient_phone_number=null, review_completed=null, callback_request_id=null, is_callback=null, fullName=null, resume_review_id=null, reviewDetails=null, parentBolnaId=d7d919d4-11f6-49d1-9c7a-98ca459dfcd3, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=assistant: Hi is that ?
, updated_at=2025-10-30T07:18:33.871724, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-30 07:18:33, id=ee0572d9-8b4b-46bc-a90d-593265669947, campaign_id=null, summary=User: Yes, this is [user's name]. 
Agent: How can I assist you today? 
User: I have a question about my recent order. 
Agent: Sure, what would you like to know? 
User: I want to check the status of my order. 
Agent: Let me pull up that information for you. 
User: Thank you. 
Agent: Your order is currently being processed and should be shipped within the next 2-3 business days. 
User: Great! Thank you for the update. 
Agent: You're welcome! Is there anything else I can help you with? 
User: No, that's all for now. 
Agent: Alright, have a great day! 
User: You too, bye! 
Agent: Goodbye! 

### Summary:
The user contacted the agent to inquire about the status of their recent order. The agent informed the user that the order is being processed and will be shipped within 2-3 business days. The user thanked the agent and ended the conversation., error_message=null, rescheduled_at_str=null, agent_extraction=null, transfer_call_data=null, parsedAgentExtraction=null, smart_status=null, conversation_duration=7.0, usage_breakdown={transcriber_usage_breakdown={transcriber_duration=0, provider_connected=false}, transcriber_duration=0, transcriber_model=nova-3, synthesizer_characters=0, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=true, welcome_message_characters=0}, transcriber_provider=deepgram, synthesizer_model=eleven_turbo_v2_5, llmModel={gpt-4o-mini={output=229, input=6}, azure_gpt-4_1-mini={output=0, input=0}}, llmTokens=0, llm_usage_breakdown={analytics=null, summarization={output=229, input=6, provider_connected=false, provider=azure, model=gpt-4o-mini}, extraction=null, conversation={output=0, input=0, provider_connected=false, provider=azure, model=azure/gpt-4.1-mini}, hangup=null}, synthesizer_provider=elevenlabs}, workflow_retries=null, rescheduled_at=null, scheduled_at_str=2025-10-30 07:18:04, status=call-disconnected}

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{created_at_str=2025-10-30 07:18:04, agent_id=db818162-fabe-4ac8-8a6a-c61223150a70, total_cost=0.0, batch_id=null, cost_breakdown={synthesizer=0, transcriber=0, synthesizer_breakdown={welcome_message=0, conversation=0}, llm=0, platform=0, transcriber_breakdown={analytics=0, conversation=0}, network=0, llm_breakdown={analytics=0, summarization=0, extraction=0, conversation=0, hangup=0}}, created_at=2025-10-30T07:18:04.08, scheduled_at=2025-10-30T07:18:04.079974, custom_extractions=null, telephony_data={duration=0.0, to_number=+918506078834, provider_call_id=bfc9534f-b779-44a8-96e8-4f49f23a6f49, hosted_telephony=false, recording_url=null, provider=plivo, hangup_provider_code=null, from_number=+918035316264, call_type=outbound, hangup_by=null, hangup_reason=null}, context_details={recipient_phone_number=+918506078834, recipient_data={recipient_phone_number=null, review_completed=null, callback_request_id=null, is_callback=null, fullName=null, resume_review_id=null, reviewDetails=null, parentBolnaId=d7d919d4-11f6-49d1-9c7a-98ca459dfcd3, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-30T07:18:06.974815, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-30 07:18:06, id=ee0572d9-8b4b-46bc-a90d-593265669947, campaign_id=null, summary=null, error_message=null, rescheduled_at_str=null, agent_extraction=null, transfer_call_data=null, parsedAgentExtraction=null, smart_status=null, conversation_duration=0.0, usage_breakdown={transcriber_usage_breakdown={transcriber_duration=0, provider_connected=false}, transcriber_duration=0, transcriber_model=nova-3, synthesizer_characters=0, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=true, welcome_message_characters=0}, transcriber_provider=deepgram, synthesizer_model=eleven_turbo_v2_5, llmModel={azure_gpt-4_1-mini={output=0, input=0}}, llmTokens=0, llm_usage_breakdown={analytics=null, summarization=null, extraction=null, conversation={output=0, input=0, provider_connected=false, provider=azure, model=azure/gpt-4.1-mini}, hangup=null}, synthesizer_provider=elevenlabs}, workflow_retries=null, rescheduled_at=null, scheduled_at_str=2025-10-30 07:18:04, status=ringing}

{created_at_str=2025-10-30 07:18:04, agent_id=db818162-fabe-4ac8-8a6a-c61223150a70, total_cost=0.0, batch_id=null, cost_breakdown={synthesizer=0, transcriber=0, synthesizer_breakdown={welcome_message=0, conversation=0}, llm=0, platform=0, transcriber_breakdown={analytics=0, conversation=0}, network=0, llm_breakdown={analytics=0, summarization=0, extraction=0, conversation=0, hangup=0}}, created_at=2025-10-30T07:18:04.08, scheduled_at=2025-10-30T07:18:04.079974, custom_extractions=null, telephony_data={duration=0.0, to_number=+918506078834, provider_call_id=bfc9534f-b779-44a8-96e8-4f49f23a6f49, hosted_telephony=false, recording_url=null, provider=plivo, hangup_provider_code=null, from_number=+918035316264, call_type=outbound, hangup_by=null, hangup_reason=null}, context_details={recipient_phone_number=+918506078834, recipient_data={recipient_phone_number=null, review_completed=null, callback_request_id=null, is_callback=null, fullName=null, resume_review_id=null, reviewDetails=null, parentBolnaId=d7d919d4-11f6-49d1-9c7a-98ca459dfcd3, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-30T07:18:04.828532, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-30 07:18:04, id=ee0572d9-8b4b-46bc-a90d-593265669947, campaign_id=null, summary=null, error_message=null, rescheduled_at_str=null, agent_extraction=null, transfer_call_data=null, parsedAgentExtraction=null, smart_status=null, conversation_duration=0.0, usage_breakdown={transcriber_usage_breakdown={transcriber_duration=0, provider_connected=false}, transcriber_duration=0, transcriber_model=nova-3, synthesizer_characters=0, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=true, welcome_message_characters=0}, transcriber_provider=deepgram, synthesizer_model=eleven_turbo_v2_5, llmModel={azure_gpt-4_1-mini={output=0, input=0}}, llmTokens=0, llm_usage_breakdown={analytics=null, summarization=null, extraction=null, conversation={output=0, input=0, provider_connected=false, provider=azure, model=azure/gpt-4.1-mini}, hangup=null}, synthesizer_provider=elevenlabs}, workflow_retries=null, rescheduled_at=null, scheduled_at_str=2025-10-30 07:18:04, status=initiated}

{created_at_str=2025-10-30 07:12:05, agent_id=db818162-fabe-4ac8-8a6a-c61223150a70, total_cost=0.0, batch_id=null, cost_breakdown={synthesizer=0.0, transcriber=0, synthesizer_breakdown={welcome_message=0.0, conversation=0}, llm=0, platform=0, transcriber_breakdown={analytics=0, conversation=0}, network=0, llm_breakdown={analytics=0, summarization=0, extraction=0, conversation=0, hangup=0}}, created_at=2025-10-30T07:12:05.880294, scheduled_at=2025-10-30T07:12:05.88027, custom_extractions=null, telephony_data={duration=0.0, to_number=+918506078834, provider_call_id=df414def-866f-4940-b458-a6cc137c66e8, hosted_telephony=false, recording_url=null, provider=plivo, hangup_provider_code=3010, from_number=+918035316264, call_type=outbound, hangup_by=Carrier, hangup_reason=Call recipient was busy}, context_details={recipient_phone_number=+918506078834, recipient_data={recipient_phone_number=null, review_completed=2025-10-30 12:31:39, callback_request_id=null, is_callback=null, fullName=Ashish, resume_review_id=69030d1018c341037890a5ea, reviewDetails={overallScore={score=62.4, scale=100}, detailedFeedback={layoutAndSearchability={feedback=The resume is generally well-structured, with key sections like Experience and Education easily identifiable. However, the order of some sections could be optimized for better engagement and readability., score=60, readability=The readability of the resume can be improved by adjusting formatting for a more modern and minimal approach. Overcrowding in the skills and expertise sections could be reduced to enhance clarity., essentialSectionsPresence=All essential sections are present, including clearly defined work experience and educational background. However, the education section should follow a reverse chronological format to maintain consistency with standard expectations., scale=100}, atsReadabilityScore={feedback=The resume is primarily ATS-friendly, with a straightforward layout. Incorporating specific industry keywords more frequently would further enhance ATS compatibility., score=67, scale=100, keyElementsReadableByATS=Elements such as contact information, job titles, and education entries are clear and effectively readable by ATS systems. Ensuring key terms from job descriptions are mirrored will improve parsing accuracy.}, impact={feedback=The resume demonstrates a good use of bullet points, allowing for easy reading and understanding of achievements. However, many bullet points lack quantifiable achievements and could benefit from more data-driven impact statements., score=62, spellCheck=There are no notable spelling errors, which helps in maintaining professionalism. Regular reviews or software tools can keep this error-free., bulletPointsUsage=Bullet points are used effectively to summarize job responsibilities and achievements. There is room for improvement in simplifying complex information into more succinct bullet points., weakActionVerbs=Most action verbs are strong, such as 'managed' and 'developed', but there are opportunities to replace weaker verbs like 'worked' with more dynamic ones like 'collaborated'., scale=100, quantifyingImpact=The resume includes some quantifiable achievements, but many entries remain non-specific. Integrating metrics or percentages could more effectively showcase impact and success., repetitionAvoidance=There is some repetition in language, particularly the overuse of common phrases. Ensuring variety in verb usage will keep the content engaging and dynamic., accomplishmentLanguage=The language generally communicates accomplishments, but could be elevated by framing more responsibilities as outcomes. 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Shortening these bullet points will allow for quicker reading and understanding., scale=100}, qualityAddOn={feedback=The use of active voice is generally strong, promoting a clear and assertive tone. Consistency in style could be improved, particularly in terms of language and date formatting., score=65, buzzwordsCliches=The resume avoids excessive use of buzzwords and clichés, but a few generic terms remain. Replacing these with specific industry-related vocabulary could strengthen credibility., datesFormatting=Some inconsistencies in date formatting could confuse the reader and should be standardized. Maintaining a uniform format for all dates enhances professional presentation., activeVoice=The resume effectively uses mostly active voice, making the narrative dynamic and direct. Continuing this will keep the content engaging and straightforward., scale=100, personalPronounsUsage=There is no usage of personal pronouns, which correctly aligns with standard resume practices. Maintaining this approach ensures a professional and objective tone.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-30T07:12:52.143051, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-30 07:12:52, id=d7d919d4-11f6-49d1-9c7a-98ca459dfcd3, campaign_id=null, summary=null, error_message=null, rescheduled_at_str=null, agent_extraction=null, transfer_call_data=null, parsedAgentExtraction=null, smart_status=null, conversation_duration=0.0, usage_breakdown={transcriber_usage_breakdown={transcriber_duration=0, provider_connected=false}, transcriber_duration=0, transcriber_model=nova-3, synthesizer_characters=18, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=false, welcome_message_characters=18}, transcriber_provider=deepgram, synthesizer_model=eleven_turbo_v2_5, llmModel={azure_gpt-4_1-mini={output=0, input=0}}, llmTokens=0, llm_usage_breakdown={analytics=null, summarization=null, extraction=null, conversation={output=0, input=0, provider_connected=false, provider=azure, model=azure/gpt-4.1-mini}, hangup=null}, synthesizer_provider=elevenlabs}, workflow_retries=null, rescheduled_at=null, scheduled_at_str=2025-10-30 07:12:05, status=busy}

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Emphasizing achievements over duties will provide a clearer picture of success.}, crispness={feedback=The resume's overall length is appropriate but has instances of verbose language that could be streamlined. Ensuring each section is direct and to the point will enhance overall crispness., resumeLength=The resume is slightly lengthy, considering the experience presented. Condensing verbose descriptions, especially in older roles, could improve conciseness., score=58, bulletPointsCount=The number of bullet points is appropriate, but some sections have uneven distribution. Ensuring a consistent approach across sections could enhance readability., fillerWords=There are occasional filler words that could be trimmed to improve clarity and focus on strengths. Removing unnecessary adjectives and adverbs will ensure sharper statements., bulletPointLength=While most bullet points are concise, some are overly lengthy, which detracts from immediate comprehension. Shortening these bullet points will allow for quicker reading and understanding., scale=100}, qualityAddOn={feedback=The use of active voice is generally strong, promoting a clear and assertive tone. Consistency in style could be improved, particularly in terms of language and date formatting., score=65, buzzwordsCliches=The resume avoids excessive use of buzzwords and clichés, but a few generic terms remain. Replacing these with specific industry-related vocabulary could strengthen credibility., datesFormatting=Some inconsistencies in date formatting could confuse the reader and should be standardized. Maintaining a uniform format for all dates enhances professional presentation., activeVoice=The resume effectively uses mostly active voice, making the narrative dynamic and direct. Continuing this will keep the content engaging and straightforward., scale=100, personalPronounsUsage=There is no usage of personal pronouns, which correctly aligns with standard resume practices. Maintaining this approach ensures a professional and objective tone.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-30T07:12:12.99431, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-30 07:12:12, id=d7d919d4-11f6-49d1-9c7a-98ca459dfcd3, campaign_id=null, summary=null, error_message=null, rescheduled_at_str=null, agent_extraction=null, transfer_call_data=null, parsedAgentExtraction=null, smart_status=null, conversation_duration=0.0, usage_breakdown={transcriber_usage_breakdown={transcriber_duration=0, provider_connected=false}, transcriber_duration=0, transcriber_model=nova-3, synthesizer_characters=18, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=false, welcome_message_characters=18}, transcriber_provider=deepgram, synthesizer_model=eleven_turbo_v2_5, llmModel={azure_gpt-4_1-mini={output=0, input=0}}, llmTokens=0, llm_usage_breakdown={analytics=null, summarization=null, extraction=null, conversation={output=0, input=0, provider_connected=false, provider=azure, model=azure/gpt-4.1-mini}, hangup=null}, synthesizer_provider=elevenlabs}, workflow_retries=null, rescheduled_at=null, scheduled_at_str=2025-10-30 07:12:05, status=ringing}

{created_at_str=2025-10-30 07:12:05, agent_id=db818162-fabe-4ac8-8a6a-c61223150a70, total_cost=0.0, batch_id=null, cost_breakdown={synthesizer=0.0, transcriber=0, synthesizer_breakdown={welcome_message=0.0, conversation=0}, llm=0, platform=0, transcriber_breakdown={analytics=0, conversation=0}, network=0, llm_breakdown={analytics=0, summarization=0, extraction=0, conversation=0, hangup=0}}, created_at=2025-10-30T07:12:05.880294, scheduled_at=2025-10-30T07:12:05.88027, custom_extractions=null, telephony_data={duration=0.0, to_number=+918506078834, provider_call_id=df414def-866f-4940-b458-a6cc137c66e8, hosted_telephony=false, recording_url=null, provider=plivo, hangup_provider_code=null, from_number=+918035316264, call_type=outbound, hangup_by=null, hangup_reason=null}, context_details={recipient_phone_number=+918506078834, recipient_data={recipient_phone_number=null, review_completed=2025-10-30 12:31:39, callback_request_id=null, is_callback=null, fullName=Ashish, resume_review_id=69030d1018c341037890a5ea, reviewDetails={overallScore={score=62.4, scale=100}, detailedFeedback={layoutAndSearchability={feedback=The resume is generally well-structured, with key sections like Experience and Education easily identifiable. However, the order of some sections could be optimized for better engagement and readability., score=60, readability=The readability of the resume can be improved by adjusting formatting for a more modern and minimal approach. Overcrowding in the skills and expertise sections could be reduced to enhance clarity., essentialSectionsPresence=All essential sections are present, including clearly defined work experience and educational background. However, the education section should follow a reverse chronological format to maintain consistency with standard expectations., scale=100}, atsReadabilityScore={feedback=The resume is primarily ATS-friendly, with a straightforward layout. Incorporating specific industry keywords more frequently would further enhance ATS compatibility., score=67, scale=100, keyElementsReadableByATS=Elements such as contact information, job titles, and education entries are clear and effectively readable by ATS systems. Ensuring key terms from job descriptions are mirrored will improve parsing accuracy.}, impact={feedback=The resume demonstrates a good use of bullet points, allowing for easy reading and understanding of achievements. However, many bullet points lack quantifiable achievements and could benefit from more data-driven impact statements., score=62, spellCheck=There are no notable spelling errors, which helps in maintaining professionalism. Regular reviews or software tools can keep this error-free., bulletPointsUsage=Bullet points are used effectively to summarize job responsibilities and achievements. There is room for improvement in simplifying complex information into more succinct bullet points., weakActionVerbs=Most action verbs are strong, such as 'managed' and 'developed', but there are opportunities to replace weaker verbs like 'worked' with more dynamic ones like 'collaborated'., scale=100, quantifyingImpact=The resume includes some quantifiable achievements, but many entries remain non-specific. Integrating metrics or percentages could more effectively showcase impact and success., repetitionAvoidance=There is some repetition in language, particularly the overuse of common phrases. Ensuring variety in verb usage will keep the content engaging and dynamic., accomplishmentLanguage=The language generally communicates accomplishments, but could be elevated by framing more responsibilities as outcomes. Emphasizing achievements over duties will provide a clearer picture of success.}, crispness={feedback=The resume's overall length is appropriate but has instances of verbose language that could be streamlined. Ensuring each section is direct and to the point will enhance overall crispness., resumeLength=The resume is slightly lengthy, considering the experience presented. Condensing verbose descriptions, especially in older roles, could improve conciseness., score=58, bulletPointsCount=The number of bullet points is appropriate, but some sections have uneven distribution. Ensuring a consistent approach across sections could enhance readability., fillerWords=There are occasional filler words that could be trimmed to improve clarity and focus on strengths. Removing unnecessary adjectives and adverbs will ensure sharper statements., bulletPointLength=While most bullet points are concise, some are overly lengthy, which detracts from immediate comprehension. Shortening these bullet points will allow for quicker reading and understanding., scale=100}, qualityAddOn={feedback=The use of active voice is generally strong, promoting a clear and assertive tone. Consistency in style could be improved, particularly in terms of language and date formatting., score=65, buzzwordsCliches=The resume avoids excessive use of buzzwords and clichés, but a few generic terms remain. Replacing these with specific industry-related vocabulary could strengthen credibility., datesFormatting=Some inconsistencies in date formatting could confuse the reader and should be standardized. Maintaining a uniform format for all dates enhances professional presentation., activeVoice=The resume effectively uses mostly active voice, making the narrative dynamic and direct. Continuing this will keep the content engaging and straightforward., scale=100, personalPronounsUsage=There is no usage of personal pronouns, which correctly aligns with standard resume practices. Maintaining this approach ensures a professional and objective tone.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-30T07:12:09.662728, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-30 07:12:09, id=d7d919d4-11f6-49d1-9c7a-98ca459dfcd3, campaign_id=null, summary=null, error_message=null, rescheduled_at_str=null, agent_extraction=null, transfer_call_data=null, parsedAgentExtraction=null, smart_status=null, conversation_duration=0.0, usage_breakdown={transcriber_usage_breakdown={transcriber_duration=0, provider_connected=false}, transcriber_duration=0, transcriber_model=nova-3, synthesizer_characters=18, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=false, welcome_message_characters=18}, transcriber_provider=deepgram, synthesizer_model=eleven_turbo_v2_5, llmModel={azure_gpt-4_1-mini={output=0, input=0}}, llmTokens=0, llm_usage_breakdown={analytics=null, summarization=null, extraction=null, conversation={output=0, input=0, provider_connected=false, provider=azure, model=azure/gpt-4.1-mini}, hangup=null}, synthesizer_provider=elevenlabs}, workflow_retries=null, rescheduled_at=null, scheduled_at_str=2025-10-30 07:12:05, status=initiated}