Overview

AI Me is a live AI assistant integrated into my website.
It answers questions using curated sources and operates under explicit architectural constraints designed for reliable production use.

This is not a generic chatbot implementation.
It is a controlled deployment of AI inside a real operational environment.

What it demonstrates

• Retrieval-first architecture (no answer without retrieved sources)
• Explicit citation rendering in every response
• Clear refusal when information is outside available sources
• One LLM call per user message (cost discipline)
• Scope gating and usage limits
• Separation of public and RAG-only content
• Structured Markdown -> embedding -> vector pipeline

Design principles

This system prioritizes:

• Predictable behavior over impressive output
• Structural discipline over experimentation
• Deployment realism over feature stacking
• Modular evolution without architectural drift

Architecture (high level)

• Frontend: Next.js
• Backend: FastAPI
• Vector database: Pinecone
• LLM & embeddings: OpenAI
• Ingestion pipeline for Markdown and PDF content
• Metadata-based citation rendering

Why this project matters

AI Me demonstrates how large language models can be integrated into production systems with defined boundaries, traceability, and controlled behavior.

The architecture is modular and designed to evolve without compromising stability.

This project was developed and delivered by me.

InBlock AI

InBlock AI was a multi-agent, tool-using LLM system designed to evaluate the credibility and risk profile of crypto tokens using structured, deterministic heuristics.

The first iteration focused on preventing users from entering high-risk or low-credibility tokens by combining automated data retrieval with rule-based scoring and transparent reasoning.

What I Built

• Multi-agent orchestration layer (LangChain-based)
• Tool-using LLM architecture with conditional routing
• Retrieval-Augmented Generation (RAG) knowledge base
• API integrations with crypto market data providers
• Exchange-tier verification logic
• Ownership distribution checks
• Liquidity-based risk indicators
• Deterministic red/green flag system
• Composite risk scoring with structured reasoning output

The orchestrator dynamically selected tools:

• If token not found on major exchanges → query secondary exchanges
• If structured data incomplete → trigger web search fallback
• Consolidate findings into structured evaluation

Core Logic

The risk score was generated through deterministic checks including:

• Exchange listing presence (tier-based credibility proxy)
• Liquidity signals
• Ownership concentration patterns
• Additional predefined industry heuristics

The system produced:

• A clear risk rating
• Explicit red and green flags
• Structured explanation of conclusions

Users could review the reasoning and form their own judgment.

Outcome

The MVP demonstrated:

• Reliable multi-source token evaluation workflows
• Transparent and explainable scoring logic
• Feasibility of scalable agentic crypto analysis systems

The project was discontinued after the founding team did not secure seed funding.
The technical MVP and architecture were fully implemented.

This project was developed and delivered by me.

Travel and Accommodation Management

AI-powered personnel transportation management system designed for offshore and onshore operations.

The platform modernizes workforce mobility, certification monitoring, and boarding coordination processes.

Core Capabilities

Real-Time Certification Monitoring

• Automated personnel certification tracking
• Ensures compliance and operational safety

Advanced Boarding Control

• Smart boarding workflows
• Improved operational coordination and efficiency

Helicopter Logistics

• Optimized offshore personnel scheduling
• Improved workforce mobility planning

Results (as reported)

• 20% reduction in fuel consumption through optimized delivery planning
• 100% compliance with personnel certification requirements
• 30% greater flight planning efficiency

The system streamlines and modernizes personnel transport management across complex operational environments.

Delivered by beelogic.io. I collaborate with beelogic.io as an AI and strategic partner.

FactorySense

FactorySense is a custom-built web application designed to monitor and manage factory operations across multiple zones.

The system tracks sensor data in real time, visualizes key operational metrics, and alerts personnel about anomalies before failures occur.

Core Capabilities

• Creation of interactive factory maps
• Zone definition and sensor deployment
• Monitoring of parameters such as temperature, speed, and other operational indicators
• Real-time data visualization via dynamic cards and charts

Intelligent Alerting

• Configurable threshold limits per sensor
• Automatic anomaly notifications when limits are exceeded
• Early warning system to prevent equipment breakdown

Impact

• Reduced unplanned downtime
• Faster response to equipment issues
• Improved operational efficiency
• Better decision-making through real-time data visibility

FactorySense supports efficient factory operations and proactive maintenance management.

Delivered by beelogic.io. I collaborate with beelogic.io as an AI and strategic partner.

Ship Anomaly Detection

Advanced maritime traffic intelligence platform for monitoring ship movements and alerting on anomalous events in real time.

The system applies deep learning techniques to analyze standard maritime traffic parameters and detect behavioral irregularities.

Core Capabilities

• Movement pattern analysis
• Statistical and deep anomaly detection
• Real-time behavioral pattern recognition
• Dynamic threshold adjustment based on historical and real-time data

Operational Scenarios

Shadow Fleet Monitoring

• Real-time data collection and AI-based analysis
• Detection of traffic discrepancies
• Collision-risk assessment
• Monitoring of activity near subsea cables and critical infrastructure

Real-Time Collision Prevention

• Automated collision risk assessment
• AI-driven Estimated Time of Arrival (ETA) calculations

Results (as reported)

• Improved anomaly detection across 3 anomaly types:
  • Vessel trajectory pattern anomalies
  • Course and heading discrepancies
  • Irregular speed-change anomalies
• 35% reduction in manual monitoring needs
• Incident resolution time reduced by 1 hour on average

Delivered by beelogic.io. I collaborate with beelogic.io as an AI and strategic partner.

Large Capital Municipality — RPA & AI Automation

In collaboration with a major European capital municipality, more than 10 robotic process automation (RPA) systems were implemented to streamline high-volume administrative workflows.

These processes were previously highly manual and time-intensive.

Automated Workflows Included

• Automated landowner notifications
• Multi-system data consolidation
• Certificate issuance
• Drafting administrative orders
• Spatial planning data retrieval
• School-related notification generation
• Parking permit validation
• AI-assisted public procurement reporting

Some robots operate continuously, others are triggered on demand.

AI Integration

In selected processes, large language model (LLM) technology is used to interpret extensive unstructured procurement documents and generate structured reports automatically.

Measurable Impact

• Several thousand administrative hours saved
• Multiple workflows performing several times faster than manual work
• One workflow achieved a 60× performance improvement
• Hundreds of work-hours saved in a single automated process

Delivery Approach

The collaboration covered:

• Process identification and prioritization
• Robot development and deployment
• Continuous maintenance and iteration

RPA proved especially effective where legacy systems lacked formal API integrations.

Delivered by erobot.ai. I collaborate with erobot.ai as an AI and strategic partner.

Rig Logistics

Advanced logistics management system designed for offshore oil platform deliveries.

The platform replaces manual tracking processes with automated workflows, real-time monitoring, and smart planning tools to ensure efficient offshore operations.

Key Capabilities

• Smart trip and delivery planning
• Real-time logistics tracking
• Automated operational workflows
• Inventory visibility improvement
• Coordinated vessel and equipment management

Operational Benefits

• Efficient and accurate delivery coordination in complex offshore environments
• Reduced dependency on manual tracking systems
• Increased operational transparency

Reported Results

• 30% reduction in vessel charter costs through advanced trip planning
• 20% reduction in equipment rental costs via improved inventory visibility
• 45% fewer operational downtimes caused by material delivery delays

The system modernizes and optimizes offshore logistics processes.

Delivered by beelogic.io. I collaborate with beelogic.io as an AI and strategic partner.

Multi-Location Fitness Chain — Invoice Automation

A large multi-location fitness club operator needed to eliminate repetitive manual processes in its financial department.

Staff were manually transferring invoice data from one system to another, creating unnecessary workload and potential errors.

Solution

Delivered by erobot.ai, the automation:

• Transfers invoice data between systems automatically
• Reduces manual data entry
• Minimizes operational errors
• Improves financial workflow efficiency

The project included full technical setup, including virtual machine infrastructure and robot licensing.

Impact

• Significant reduction in repetitive manual tasks
• Increased reliability of invoice processing
• Improved efficiency in financial operations
• Scalable infrastructure for future automation

Delivered by erobot.ai. I collaborate with erobot.ai as an AI and strategic partner.

Home Healthcare Provider — Mobile Data Automation

A healthcare provider offering at-home medical services required a reliable way to collect and process patient visit data while minimizing administrative workload and human error.

Solution

Delivered by erobot.ai, the solution included:

• A mobile application for recording patient visit data
• QR-based identification to ensure accurate patient matching
• Automated end-of-day data entry into the central system
• Reduced manual administrative handling

The QR-based identification helps prevent errors during patient data entry and improves operational reliability.

Impact

• Significant reduction in routine administrative tasks
• Lower risk of data entry errors
• Faster processing of daily visit information
• Healthcare staff can focus on patient care instead of paperwork

Delivered by erobot.ai. I collaborate with erobot.ai as an AI and strategic partner.

HR Services Company — Document Intake Automation

An international HR services provider needed to automate the intake and processing of high volumes of paper-based documents.

The number of incoming documents was unpredictable, sometimes reaching several hundred per day.

Solution

Delivered by erobot.ai, the system integrates:

• Microsoft Power Automate
• Microsoft Azure OCR
• Cognitive Search capabilities

The workflow is simple:

1. A document is scanned and sent to a designated robot email
2. The robot reads the document using OCR
3. Necessary actions are triggered automatically

Impact

• Reduced unexpected workload spikes
• Faster document processing
• Improved operational stability
• Lower administrative burden on staff

This case demonstrates how document intake automation can significantly improve resilience in high-volume environments.

Delivered by erobot.ai. I collaborate with erobot.ai as an AI and strategic partner.

Logistics Company — OCR & Shipping Document Automation

A freight forwarding and ship agency company needed to streamline the processing of shipping documentation.

Shipping paperwork such as CMRs, invoices, and packing lists was handled manually, creating delays and inefficiencies.

Solution

Delivered by erobot.ai, the system:

• Uses OCR and machine learning to extract data from shipping PDFs
• Automatically digitizes document content
• Transfers structured information directly into transport management software
• Reduces manual document handling

Impact

• Near-instant document processing
• Reduced administrative workload
• Faster internal operations
• Improved service speed for customers

This case demonstrates how AI-based document processing can significantly accelerate logistics workflows.

Delivered by erobot.ai. I collaborate with erobot.ai as an AI and strategic partner.

Rampa Pro

Rampa Pro is a smart online system that automates truck entry, parking, and ramp management in secure facilities.

The system integrates Automatic Number Plate Recognition (ANPR) cameras, barriers, and digital display boards to eliminate manual intervention and improve operational flow.

What the system does

• Automatically recognizes truck license plates using ANPR cameras
• Matches vehicles against expected Bill of Lading (BOL) data
• Opens entry barriers automatically when data matches
• Allows manual override when needed
• Takes photos of each vehicle for security and audit purposes
• Tracks all truck movements inside the facility
• Enables operators to assign unloading ramps digitally
• Displays ramp assignments on digital signage
• Controls exit using the same system
• Logs all actions for audit and compliance purposes

Impact

• Reduced manual workload at facility gates
• Improved traffic flow and ramp utilization
• Enhanced security and audit transparency
• Real-time visibility into on-site vehicle movements

Delivered by beelogic.io. I collaborate with beelogic.io as an AI and strategic partner.

Accounting Firm — Customer Onboarding Automation

An accounting and tax advisory firm needed to streamline the onboarding of new clients.

Previously, onboarding required significant manual data entry and document preparation by staff.

Solution

Delivered by erobot.ai, the automation:

• Sends structured online questionnaires to new clients
• Collects company data and authorized representative information
• Automatically generates required documents (contracts, powers of attorney, etc.)
• Sends documents for signing
• Allows easy updates of existing documentation

Employees only intervene when data is incomplete or requires clarification.

Impact

• Immediate time savings
• Faster onboarding process
• Reduced administrative errors
• Improved customer experience
• Scalable solution for firms managing large volumes of standardized documents

This case illustrates how onboarding automation can significantly improve operational efficiency in professional service firms.

Delivered by erobot.ai. I collaborate with erobot.ai as an AI and strategic partner.

Accounting Firm — Document Monitoring Automation

A fast-growing accounting services firm needed a better way to track whether clients had uploaded required documents.

Clients used shared cloud folders to submit accounting files, but monitoring these folders manually was inefficient and error-prone.

Solution

Delivered by erobot.ai, the automation:

• Monitors client document folders daily
• Detects newly uploaded documents
• Notifies responsible staff automatically
• Sends reminder emails if documents are not submitted by a defined deadline

The solution integrates multiple cloud ecosystems to ensure seamless data exchange.

Impact

• Clear time savings
• Faster document processing
• Reduced risk of missed submissions
• Improved customer experience
• Staff reallocated to higher value-added tasks

This case demonstrates how even simple workflow automation can significantly improve service efficiency and reliability.

Delivered by erobot.ai. I collaborate with erobot.ai as an AI and strategic partner.

Accounting Firm — Public Data Collection & Analytics Automation

An outsourcing-based accounting firm needed to streamline the collection and processing of publicly available data used in one of its accounting workflows.

Previously, employees manually retrieved, filtered, and analyzed this data.

Solution

Delivered by erobot.ai, the automation:

• Retrieves filtered data from a public source
• Processes and structures it automatically
• Provides ready-to-use analytics output
• Reduces manual data handling

Impact

• Data retrieval and processing reduced to minutes
• Significant time savings
• Improved analytical efficiency
• Staff reallocated to higher-value advisory tasks

The solution is intuitive and required no extensive onboarding or manuals for employees.

Delivered by erobot.ai. I collaborate with erobot.ai as an AI and strategic partner.

Accounting Firm — Tax & Reporting Automation

A technology-driven accounting firm sought to reduce manual effort in recurring regulatory and accounting workflows.

Accounting processes are well-structured and rule-based, making them ideal candidates for automation.

Solution

Delivered by erobot.ai, the automation included:

• Depreciation recalculation in accounting software
• Automated downloading of cross-check reports from tax systems
• Formation, review, and submission of regulatory reports
• Integration with electronic signature workflows

Impact

• Significant time savings
• Reduced human error in financial reporting
• Improved process reliability
• Increased employee focus on higher-value work
• Strong foundation for continued robotization

This case illustrates how structured accounting environments can benefit significantly from robotic process automation.

Delivered by erobot.ai. I collaborate with erobot.ai as an AI and strategic partner.

Investor Reporting Automation

A large industrial development organization managing numerous investors needed a more efficient way to collect annual business data and prepare regulatory reports.

As the number of investors grew, the process became increasingly manual and time-consuming. Data was submitted in various formats, verified manually, consolidated in spreadsheets, and prepared individually for reporting purposes.

Solution

This automation project — delivered by erobot.ai — implemented a structured workflow that:

• Collects investor data through standardized digital forms
• Automatically validates completeness and consistency
• Generates investor correspondence
• Prepares regulatory reports in required formats
• Provides real-time tracking of submission status

Impact

• Major reduction in repetitive administrative work
• Significantly lower error rates
• Reliable on-time reporting
• Staff reallocated to analytical and investor-facing tasks

This project demonstrates how structured workflow automation can modernize recurring regulatory reporting processes in both public and enterprise environments.

Delivered by erobot.ai. I collaborate with erobot.ai as an AI and strategic partner.

Municipal Digitalization: GBV & Disability Services

A regional government sought to modernize how it handles gender-based violence (GBV) reporting and public services for persons with disabilities (PWD).

Previously, many processes were manual, fragmented, and difficult to monitor. Residents had limited visibility into service progress and outcomes.

Solution

Delivered by erobot.ai, the project introduced:

• Digital reporting tools for GBV incidents
• Service request workflows for disability-related assistance
• Structured case management with assigned coordinators
• Public dashboards showing anonymized aggregated progress
• Systems optimized for varying connectivity and digital literacy levels

Impact

• Simplified citizen reporting and access to support
• Reduced process inefficiencies
• Improved transparency and accountability
• Scalable architecture for future expansion or replication

The system is now in active use and was designed to be modular — enabling additional features or deployment in other municipalities.

Delivered by erobot.ai. I collaborate with erobot.ai as an AI and strategic partner.

Municipal Accounting Report Automation

A large municipality providing centralized accounting services to more than 100 subordinate institutions needed to streamline recurring reporting workflows.

Previously, municipal staff manually generated and distributed multiple accounting reports each week.

Solution

Delivered by erobot.ai, the pilot automation:

• Independently generates four different report types
• Runs automatically during weekends
• Distributes reports to institutions and responsible municipal staff
• Ensures reports are delivered by Monday morning

Impact

• ~200 working hours saved per month
• Reduced repetitive administrative workload
• More time available for analytical and higher value-added tasks
• Improved reporting consistency and reliability

The solution demonstrates how even routine reporting workflows can generate significant efficiency gains when automated.

Delivered by erobot.ai. I collaborate with erobot.ai as an AI and strategic partner.

Event-Tech Startup — Monthly Report Automation

A rapidly growing SaaS company needed to streamline the process of generating and sending monthly customer reports.

Previously, report preparation and mailing required manual data extraction and formatting.

Solution

Delivered by erobot.ai, the automation:

• Extracts required data automatically on the first day of each month
• Compiles structured and visually improved reports
• Sends reports automatically to designated recipients
• Reduces manual involvement to oversight only

As part of the project, report structure was optimized to highlight metrics most valuable to customers.

Impact

• Reports delivered consistently on the first day of the month
• Faster internal processes
• Reduced human errors
• Lower routine workload for staff
• Improved customer experience

Delivered by erobot.ai. I collaborate with erobot.ai as an AI and strategic partner.

Telecom Operator — Equipment Documentation Automation

A large telecommunications operator needed to streamline the transfer of equipment delivery and acceptance certificates between internal systems.

Previously, these documents were transferred manually, creating repetitive workload and risk of human error.

Solution

Delivered by erobot.ai, the automation:

• Transfers the majority of documentation automatically between systems
• Flags and documents cases requiring review
• Improves process transparency
• Enables continuous refinement of internal workflows

Impact

• ~80 hours saved per month (and growing)
• Reduced repetitive manual work
• Lower risk of data transfer errors
• Improved supervision and standardization of internal processes

As business processes are further standardized, time savings are expected to double.

Delivered by erobot.ai. I collaborate with erobot.ai as an AI and strategic partner.

Balloon Live

Balloon Live is a mobile application for Android and iOS that digitizes hot air balloon competitions, transforming how goal declarations, marker drops, and result evaluation are handled.

The app replaces manual, paper-based processes with real-time digital tracking and secure data management.

Core Capabilities

• Digital goal declarations and marker drops
• GPS-based real-time tracking
• Optional use of a dedicated tracking device (GPS + barometric measurements)
• Secure storage of flight data in IGC format
• Digital signature protection for data integrity

Real-Time Efficiency

• Cloud-based real-time transmission of tracking data
• Immediate access to flight data for judges
• Reduced post-flight analysis time
• Elimination of manual SD card data extraction

Results

• Streamlined competition process: Faster result calculation, fewer administrative tasks, and more focus on flying
• Increased accuracy: Digital tracking and real-time transmission ensure precise action recording and reduce disputes
• Reduced debriefing time: Immediate data availability minimizes lengthy debriefs; judges can review results instantly and pilots avoid long waiting times

The system revolutionizes the organization and management of hot air balloon competitions.

Delivered by beelogic.io. I collaborate with beelogic.io as an AI and strategic partner.

Catering Supply Management Platform

A web application modernizing the weekly product ordering process for catering operations.

This solution transforms internal purchasing into an intuitive, e-commerce-like experience while introducing structured supplier competition and automated product lifecycle management.

Problem

Catering procurement processes were manual, dependent on fragmented communication with suppliers, and required maintaining product lists manually.

Solution

The platform introduces:

For Employees

• Dynamic product marketplace
• Cart-based ordering
• Order saving and confirmation after delivery

For Administrators

• Creation of product requests
• Secure supplier invitations (no login required)
• Online price quote submission
• Offer comparison and supplier selection
• Product activation for a defined validity period
• Automatic removal of expired products

Impact

• Reduced manual work and error probability
• Transparent supplier selection
• Always up-to-date product catalog
• Improved purchasing efficiency

Delivered by beelogic.io. I collaborate with beelogic.io as an AI and strategic partner.

AccessGuard

AccessGuard is a custom-built web application designed to manage access control and operational workflows in factory environments.

It enables administrators to define zones, assign permissions, monitor employee movements, and manage vehicle access — all through a centralized platform.

Core Capabilities

• Definition of workplace zones and role-based access permissions
• Access card creation and assignment
• Reader configuration for permission validation
• Real-time dashboard showing current zone activity
• Monitoring of employee presence and movement

Reporting & Analytics

• Detailed access event logs
• Time spent in specific zones
• Attendance and idle time tracking
• Automated activity report generation

Extended Logistics Functionality

• Truck scheduling and cargo coordination
• Driver and vehicle registration
• Unique request numbers for incoming trucks
• Terminal queue notification system
• Recording of loading details (weight, products, completion time)

Impact

• Reduced unauthorized access
• Improved oversight and permission management
• Real-time operational transparency
• Increased security and workforce coordination

AccessGuard strengthens workplace security while streamlining both personnel and vehicle movement management.

Delivered by beelogic.io. I collaborate with beelogic.io as an AI and strategic partner.