blenai-conversation-intelligence
by
Meghna Rajawat
Meghna RajawatBuild 1. BlenAI Core Platform * Python and FastAPI backend. * Integration with OpenAI and other LLM providers. * Modular AI engine architecture. * PostgreSQL database. * Secure REST APIs with authentication. * Multi-tenant architecture. * Configurable prompts, business rules, and knowledge bases. * Structured JSON responses. * API usage tracking and logging. 2. AI Conversation Intelligence * Upload and process recorded conversations. * Multilingual speech-to-text transcription. * Conversation summarization. * Customer intent identification. * Buyer requirements and budget extraction. * Objection and buying-signal detection. * Lead scoring. * Automated follow-up recommendations. * Structured conversation analysis through APIs. 3. Knowledge and Intelligence Engine * Configurable industry-specific knowledge. * Business rules and prompt management. * Knowledge retrieval capabilities. * Support for future AI model integrations. * Extensible architecture for additional AI intelligence modules. 4. AWS Hosting and Deployment * Docker containerization. * AWS deployment. * PostgreSQL database integration. * Amazon S3 for audio storage. * HTTPS and secure API access. * API documentation using Swagger/OpenAPI. * Automated testing and deployment documentation.
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Project Tasks
139 tasks#1
Generate system requirement document
0m 40s0.05 cr used
Done#2
Generate personas & user flows
0m 15s0.05 cr used
Done#3
Design first page
0m 26s0.05 cr used
Done#4
Design remaining pages
Not recorded0.05 cr needed
Done#5
Architecture
0m 26s0.05 cr used
Done#6
Workspace task plan
2m 7s0.05 cr used
Done#7
Create flow for Platform Administrator
Not recordedCredits in parent
Done#8
Create flow for AI Engineer / Integrator
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Done#9
Create flow for Sales / Revenue Analyst
Not recordedCredits in parent
Done#10
Create backend_modules diagram
0m 20sCredits in parent
Done#11
Create er_diagram diagram
0m 20sCredits in parent
Done#12
Create sequence diagram
0m 20sCredits in parent
Done#13
Create service_network diagram
0m 19sCredits in parent
Done#14
Orchestrate providers and own analysis, configuration, usage, and logs
140 cr estimated
To Do#15
Filter usage and logs by time range and endpoint
80 cr estimated
To Do#16
Retrieve structured analysis as JSON
80 cr estimated
To Do#17
Upload recorded conversation for analysis
100 cr estimated
To Do#18
Resolve tenant context after verification and scope protected requests
120 cr estimated
To Do#19
Manage tenant business rules and prompts
100 cr estimated
To Do#20
Route LLM inference through the Lite LLM gateway
120 cr estimated
To Do#21
Inspect request and response schemas in the API documentation
60 cr estimated
To Do#22
Accept recorded conversations through the authenticated API
120 cr estimated
To Do#23
Verify returning administrators before protected access
120 cr estimated
To Do#24
Self-enroll a tenant or accept a provisioned account
120 cr estimated
To Do#25
Serve all API access over HTTPS
80 cr estimated
To Do#26
Upload recorded conversation audio to S3
100 cr estimated
To Do#27
Produce structured conversation analysis from transcripts
140 cr estimated
To Do#28
Verify visitor identity and resolve tenant context for API access
120 cr estimated
To Do#29
Verify returning identity with credential
100 cr estimated
To Do#30
Prompt re-entry when a session has expired
100 cr estimated
To Do#31
Accept a structured conversation analysis request
120 cr estimated
To Do#32
Retrieve the full structured analysis document for a conversation
100 cr estimated
To Do#33
Offer a recovery path after failed verification
100 cr estimated
To Do#34
Publish interactive Open API documentation for all endpoints and schemas
80 cr estimated
To Do#35
Return retrieved knowledge as structured JSON with retryable errors
120 cr estimated
To Do#36
Detect objections and buying signals in conversation analysis
120 cr estimated
To Do#37
Query conversation processing status
80 cr estimated
To Do#38
Populate lead score in structured conversation analysis
100 cr estimated
To Do#39
Upload a recording and receive processed analysis
140 cr estimated
To Do#40
Run each intelligence capability as its own module per request
120 cr estimated
To Do#41
Query per-tenant API usage and activity logs
100 cr estimated
To Do#42
Establish identity and resolve tenant context on account access
140 cr estimated
To Do#43
Populate follow-up recommendation in structured analysis
100 cr estimated
To Do#44
Authenticate over HTTPS and obtain API credentials
120 cr estimated
To Do#45
Store uploaded audio in Amazon S3 and trigger processing
100 cr estimated
To Do#46
Record API and model-provider calls for queryable usage and logs
100 cr estimated
To Do#47
Return actionable lead intelligence and a clear next step on successful analysis
80 cr estimated
To Do#48
Serve tenant knowledge, business rules, prompts, and retrieval to analysis
120 cr estimated
To Do#49
Capture enrollment details for a new tenant administrator
100 cr estimated
To Do#50
Verify returning administrator identity and reject invalid credentials
100 cr estimated
To Do#51
Verify returning users and resolve tenant context before protected access
120 cr estimated
To Do#52
Retrieve structured conversation analysis as JSON
80 cr estimated
To Do#53
Issue authenticated API credentials to integrators
100 cr estimated
To Do#54
Return tenant knowledge for retrieval requests
100 cr estimated
To Do#55
Process uploaded conversations into transcripts and structured analysis
140 cr estimated
To Do#56
Register new intelligence modules without disrupting existing analysis
120 cr estimated
To Do#57
Publish Swagger/Open API documentation for the authenticated REST APIs
80 cr estimated
To Do#58
Keep each tenant's configuration, knowledge, and analysis isolated
120 cr estimated
To Do#59
Reject cross-tenant access and scope responses to the caller's tenant
120 cr estimated
To Do#60
Retrieve tenant knowledge using retrieval configuration
100 cr estimated
To Do#61
Populate customer intent in structured analysis
80 cr estimated
To Do#62
Persist uploaded conversation audio in Amazon S3
100 cr estimated
To Do#63
Create and update tenant prompts, business rules, and knowledge bases
120 cr estimated
To Do#64
Make the AI engine extensible for new modules and model integrations
140 cr estimated
To Do#65
Establish tenant context for the administrator
100 cr estimated
To Do#66
Establish identity on first use
120 cr estimated
To Do#67
Scope every protected request to the resolved tenant
140 cr estimated
To Do#68
Return an empty state when a tenant has no configuration
60 cr estimated
To Do#69
Apply updated tenant configuration to subsequent analysis
120 cr estimated
To Do#70
Transcribe uploaded audio through the configured speech-to-text service
100 cr estimated
To Do#71
Expose configuration retrieval and save status for tenant configuration
60 cr estimated
To Do#72
Validate and persist tenant prompts, business rules, and knowledge bases
120 cr estimated
To Do#73
Return tenant context after identity verification
100 cr estimated
To Do#74
Establish identity on first use through enrollment or a provisioned account
120 cr estimated
To Do#75
Publish discoverable Open API documentation for upload, analysis, configuration, and usage endpoints
80 cr estimated
To Do#76
Create and update tenant knowledge base entries and industry knowledge
100 cr estimated
To Do#77
Persist tenant configuration and analysis data durably in Postgre SQL
120 cr estimated
To Do#78
Expose processing status so uploads show in-progress state
100 cr estimated
To Do#79
Extract buyer requirements and budget into structured analysis
100 cr estimated
To Do#80
Let administrators self-enroll or accept a provisioned account
120 cr estimated
To Do#81
Create and update tenant business rules
100 cr estimated
To Do#82
Return full conversation analysis for analyst review
120 cr estimated
To Do#83
Route model-backed analysis through the Lite LLM gateway
120 cr estimated
To Do#84
Re-request analysis retrieval by conversation identifier
80 cr estimated
To Do#85
Serve Open API documentation with loading, success, and error states
80 cr estimated
To Do#86
Reach the Account Access boundary without authentication
60 cr estimated
To Do#87
Publish Swagger/Open API documentation as the discoverable API contract
80 cr estimated
To Do#88
Verify returning identity and bind access to the correct tenant
120 cr estimated
To Do#89
Configure tenant industry knowledge that grounds analysis
100 cr estimated
To Do#90
Authenticate REST API requests and reject unauthenticated callers
100 cr estimated
To Do#91
Expire sessions and require re-verification
100 cr estimated
To Do#92
Report structured errors for failed conversation processing with recovery
120 cr estimated
To Do#93
Return structured authentication errors for invalid API requests
80 cr estimated
To Do#94
Accept audio and configuration over authenticated HTTPS and return structured analysis
140 cr estimated
To Do#95
Create identity and tenant membership and resolve tenant context
140 cr estimated
To Do#96
Serve structured JSON through secure authenticated REST APIs
120 cr estimated
To Do#97
Register new intelligence modules and model providers without altering existing modules
140 cr estimated
To Do#98
Produce follow-up recommendations as structured output
100 cr estimated
To Do#99
Enroll users via self-service or provisioned account
120 cr estimated
To Do#100
Validate tenant configuration before it is persisted
100 cr estimated
To Do#101
Reject unauthorized usage access with a re-authentication prompt
80 cr estimated
To Do#102
Return every API response and error as structured JSON
80 cr estimated
To Do#103
Establish identity and verify returning users before protected tenant work
140 cr estimated
To Do#104
Retrieve a conversation's structured analysis as JSON
80 cr estimated
To Do#105
Validate and persist tenant configuration
100 cr estimated
To Do#106
Integrate the configured speech-to-text transcription service
100 cr estimated
To Do#107
Query tenant usage and logs
80 cr estimated
To Do#108
Create or update tenant prompts
80 cr estimated
To Do#109
Issue authenticated API credentials usable over HTTPS
120 cr estimated
To Do#110
Return usage and log query results with clear loading, empty, success, and unauthorized outcomes
100 cr estimated
To Do#111
Return structured JSON on every successful API response
80 cr estimated
To Do#112
Track and log API usage durably
120 cr estimated
To Do#113
Transcribe recorded conversations in multiple languages
120 cr estimated
To Do#114
Query usage and logs for the tenant
100 cr estimated
To Do#115
Accept recorded conversation upload through the authenticated API
120 cr estimated
To Do#116
Establish tenant context after verification and unlock protected tenant-scoped work
120 cr estimated
To Do#117
Report validation and unauthorized tenant access errors with recovery by correction
100 cr estimated
To Do#118
Return empty conversation list for tenants with no conversations
60 cr estimated
To Do#119
Authenticate integrators to the documented API
100 cr estimated
To Do#120
Return JSON analysis document or structured error with retry
100 cr estimated
To Do#121
Transcribe stored conversation audio in multiple languages
100 cr estimated
To Do#122
Store conversation audio objects in Amazon S3
80 cr estimated
To Do#123
Provide authenticated API credentials to integrators
100 cr estimated
To Do#124
Return structured JSON analysis for an uploaded recording
120 cr estimated
To Do#125
Route LLM inference through the Lite LLM gateway
120 cr estimated
To Do#126
Retrieve tenant knowledge through the API
80 cr estimated
To Do#127
Query tenant usage records and log entries
80 cr estimated
To Do#128
List and inspect tenant configuration
80 cr estimated
To Do#129
Populate the conversation summary in structured analysis
80 cr estimated
To Do#130
Save tenant configuration and make it effective
100 cr estimated
To Do#131
Ingest a recorded conversation and return structured analysis
140 cr estimated
To Do#132
Select a tenant for the configuration session
80 cr estimated
To Do#133
Store tenant knowledge and apply it to analysis
100 cr estimated
To Do#134
Persist tenant configuration and conversations in Postgre SQL, audio in S3
120 cr estimated
To Do#135
Run modular AI analysis through the Lite LLM gateway
140 cr estimated
To Do#136
Expose endpoints and schemas through Swagger/Open API
80 cr estimated
To Do#137
Present returning verification form for identity and credential
100 cr estimated
To Do#138
Transcribe recorded conversations in multiple languages
120 cr estimated
To Do#139
Produce and store structured conversation analysis
120 cr estimated
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