Kedvenckalauz
v6.9 Editorial Center with quality scoring, source verification and re-check workflow
Using the editorial queue to methodically review real data, sources, images and HU/EN/DE content at a pace of 5–10 profiles per day.
DIGITAL SYSTEMS • EDUCATION • ENTERPRISE • KNOWLEDGE PLATFORMS
Digital systems design and development
Olti Miklós — Developer • Systems Designer • Digital Project Owner
I design and develop complex browser-based information systems for education, enterprise management and digital knowledge sharing. My goal is to create clear, modular platforms that support real operational workflows and remain extensible over the long term.
033 featured projects∞Systems thinking3×3 languages
EDTREgységes Digitális Tanulmányi Rendszer
OLTI-KFTMosodai vállalatirányítási rendszer
KEDVENCKALAUZÁllatos tudástár és kalauz
01 / FEATURED WORK
Digital systems built around business value
Each project starts from a real operational challenge and turns fragmented information, workflows and user journeys into a coherent digital foundation designed for clarity, reach and long-term scalability.
01v6.9 • working WordPress system • Dark Social + Editorial Center
Knowledge & Decision Support Platforms · Multilingual animal knowledge, decision-support and editorial platform
Kedvenckalauz
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02Development state 18 • working responsive Dark Social interface prototype
Education Systems · Unified Digital Education System
EDTR
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03v6.2.9 running system base • ERP2 intake and production development
Enterprise Systems · Laundry ERP v6.2.9 base + ERP2 workflow development
Olti-Kft Enterprise Suite
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RECENT DEVELOPMENT
Latest changes
The three most recent development steps, shown before the detailed project cases.EDTR
Development state 18: intelligent course enrollment, learning assistant, analytics, early warnings and higher-education administration
Turning the academic journey, communication, knowledge repository and personalized learning/administrative capabilities into one consistent platform experience.
Olti-Kft Enterprise Suite
MES, SLA, CMMS, parts, RABC, GPS, cost/margin and employee performance in one server-based system
Refining the one-step ERP2 container-intake workflow and MES/SLA/CMMS integration while stabilizing v6.2.9 and fixing external-integration gaps step by step.
01 / 03 · Knowledge & Decision Support Platforms
Multilingual animal knowledge, decision-support and editorial platform
Kedvenckalauz
v6.9 • working WordPress system • Dark Social + Editorial Center
Kedvenckalauz is a multilingual animal knowledge and decision-support platform with 1,135 profiles across 13 categories. In v6.9 it combines a Dark Social interface, comparison and selection tools with a quality-scored editorial verification workflow.
v6.9 • working WordPress system • Dark Social + Editorial CenterProject status
VersionActive development branch
Last update2026.09
Current focusUsing the editorial queue to methodically review real data, sources, images and HU/EN/DE content at a pace of 5–10 profiles per day.
Business challenge
Animal-care information is often fragmented, uneven in quality and difficult to compare. Families choosing an animal, experienced owners and livestock users need different information, while sources, images and translations also require continuous verification.
Business goal
Build a scalable and trustworthy animal platform that supports users from choosing the right animal through everyday care while keeping more than one thousand profiles reliable through structured editorial quality assurance.
My role
Product concept, system and information architecture, WordPress implementation, Dark Social UX, multilingual content model, decision-support features and the v6.9 Editorial Center quality-assurance workflow.
Value-driving capabilities
- 1,135 animal profiles in 13 categories with 48 livestock entries handled separately
- Dark Social interface using charcoal/deep blue-gray surfaces, petrol/teal and blue accents, plus a distinct amber/gold livestock treatment
- Search, filtering, comparison and a “Which animal fits me?” decision-support journey
- Cost calculator and readiness checker for realistic pre-adoption planning
- Veterinarian search, legal and travel information, compatibility guidance and toxic food/plant data
- HU / EN / DE content model with Hungarian as the default language
- Editorial Center with a daily queue of 5–10 profiles and a 0–100% quality score
- Quality assurance with at least 3 sources, image/legal checks, HU/EN/DE consistency and 6/12/24-month re-verification cycles
System architecture
01Visitor • owner • future animal owner
→
02Search • comparison • decision support
→
031,135 profiles • 13 categories • HU/EN/DE
→
04WordPress • Editorial Center • quality assurance
Hover or focus an element to highlight its connections.
Technology foundation
A working WordPress-based system designed for Rackhost hosting, v6.9 Dark Social UI, 1,135-profile content structure and an editorial quality-assurance workflow for daily verification.
Technology stack
WPWordPressPHPPHPUIDark Social🌐HU / EN / DEQAEditorial qualityDB1,135 profiles / 13 categories
Development milestones
01Unified data model for 1,135 profiles, 13 categories and 48 separately handled livestock entries02v6.8 Dark Social visual direction and decision-support UX03v6.9 Editorial Center with quality scoring, source verification and re-check workflow
Growth direction
Systematic verification of all 1,135 profiles with real data and suitable images, deeper personalized recommendations, better search/comparison and gradual expansion of community features.
02 / 03 · Education Systems
Unified Digital Education System
EDTR
Development state 18 • working responsive Dark Social interface prototype
EDTR is a nationwide-scale unified digital education platform concept from kindergarten through higher education. It brings academic data, institutional operations, communication, knowledge resources and student administration into one continuous digital journey.
Development state 18 • working responsive Dark Social interface prototypeProject status
VersionActive development branch
Last update2026.09
Current focusTurning the academic journey, communication, knowledge repository and personalized learning/administrative capabilities into one consistent platform experience.
Business challenge
School and higher-education data, communication, learning resources and administrative cases often live in separate systems. This creates repeated data entry, fragmented experiences and a harder-to-follow education journey.
Business goal
Create one platform that can eventually provide a common digital layer for school-management and higher-education study processes while also adding communication, knowledge sharing and personalized learning support.
My role
Project owner, product concept, system architecture, roles and workflows, institution registry, communication model, National Knowledge Repository, personalized-learning logic and long-term platform strategy.
Value-driving capabilities
- One digital education journey from kindergarten through higher education with shared institutional and academic data logic
- National institution registry covering kindergartens, schools and higher education with institution/site identifiers and regional/type filtering logic
- Role-based operation for pupils, students, educators, lecturers, parents and institutional users
- Internal mail, instant messaging, groups and rooms plus educator–student workspaces
- National Knowledge Repository with books, notes and studies, plus integration concepts for Mindentudás Egyeteme 2.0 and Nettanár content
- Intelligent course enrollment, personalized learning paths and a learning assistant
- Automatic practice assessment, analytics and early-warning signals for learning risks
- Higher-education administration for scholarships, dormitories, theses, final exams and case-status tracking
- Dark Facebook-style mobile-friendly central interface connecting academic and community functions
System architecture
01Pupil • student • parent • educator • lecturer • institution
→
02Academic and institutional workflows
→
03Communication • personalized learning • administration
→
04National Knowledge Repository • institution registry
Hover or focus an element to highlight its connections.
Technology foundation
Working responsive dark social-style UI prototype, modular system concept, institution-registry structure, internal communication model, knowledge repository and expanded learning/administrative functions in development state 18.
Technology stack
WEBResponsive Dark Social UIDATAInstitution registryACLRoles & permissionsMSGMail / chat / groupsKBNational Knowledge RepositoryLEARNLearning assistant / analytics
Development milestones
01Unified education journey and nationwide institution-registry concept02Dark Facebook-style central interface with internal mail, chat, groups and Knowledge Repository03Development state 18: intelligent course enrollment, learning assistant, analytics, early warnings and higher-education administration
Growth direction
Deepen official institution-master-data handling, build detailed permissions and integration layers, further develop personalized learning functions and stabilize the prototype into a production-ready platform architecture.
03 / 03 · Enterprise Systems
Laundry ERP v6.2.9 base + ERP2 workflow development
Olti-Kft Enterprise Suite
v6.2.9 running system base • ERP2 intake and production development
A browser-based enterprise platform designed for industrial laundry operations. The current v6.2.9 system base connects central data handling, ERP2 container intake, MES production tracking, SLA, maintenance, workforce and profitability in one operating environment.
v6.2.9 running system base • ERP2 intake and production developmentProject status
VersionActive development branch
Last update2026.09
Current focusRefining the one-step ERP2 container-intake workflow and MES/SLA/CMMS integration while stabilizing v6.2.9 and fixing external-integration gaps step by step.
Business challenge
When partner data, weights, orders, production status, SLA deadlines, machine faults, workforce and cost data live separately, manual reconciliation and late detection of operational risk increase. Management needs one reliable shared operational data source.
Business goal
Create one traceable digital process from incoming container to delivery that reduces manual administration, makes production and SLA risk visible, links machine and maintenance data and supports cost/margin-based management decisions.
My role
Project owner, mapping laundry business and operational workflows, v6.2.9 system structure and ERP2 workflow logic, central data model, MES, UI, module integration and server operating concept.
Value-driving capabilities
- Mosodai Control Center for management KPIs, active orders, production, SLA risk, machine condition and maintenance overview
- Kapocs for central customer, partner, contract and relationship data
- Gépház for machines, technical states, energy/performance data and maintenance relationships
- Iroda for HR, attendance, working time, employee administration and office workflows in a unified dark interface
- Őrszem for alerts, monitoring, operational events, reports and management control
- Adatmag for central data/control logic in one combined menu without a separate controller selector
- ERP2 container intake with unique container ID, barcode, customer verification, tare deduction, automatic net-weight writeback to the order, promised day and one-step Enter-driven workflow
- Production / MES with workstations, tasks, generator, WIP, capacity and delay tracking
- Contracts / SLA with commitments, automatic deadlines and continuous service-level monitoring
- CMMS / maintenance plus spare-parts inventory with planned/ad-hoc tasks, machine state and stock relationships
- Additional operational areas: RABC/hygiene, route/GPS, cost/margin and employee performance
- Browser access through an Ubuntu VM under Windows Server / Hyper-V, including port-free IP access
System architecture
01Browser-based operational UI
→
02Kapocs • Gépház • Iroda • Őrszem • Adatmag
→
03ERP2 intake • MES • SLA • CMMS • RABC • GPS • cost
→
04Central data model • Windows Server / Hyper-V / Ubuntu VM
Hover or focus an element to highlight its connections.
Technology foundation
Development is based on the running v6.2.9 server backup; the functional environment includes MES, SLA, CMMS, spare-parts inventory, RABC/hygiene, route/GPS, cost/margin and employee performance in one browser-based system.
Technology stack
ERPv6.2.9 / ERP2DATACentral data modelMESMES / WIPCMMSSLA / CMMSVMWindows Server / Hyper-V / UbuntuOPSBrowser operations
Development milestones
01v6.2.9 central system structure with Kapocs, Gépház, Iroda, Őrszem and Adatmag aligned02ERP2 container intake with barcode, customer verification, automatic tare/net weight and Enter-driven one-step workflow03MES, SLA, CMMS, parts, RABC, GPS, cost/margin and employee performance in one server-based system
Growth direction
Step-by-step stabilization of identified v6.2.9 issues and external integration gaps, further refinement of ERP2 intake and MES workflows, detailed permissions, backup/operations and more advanced management analytics.
02 / NOW
What I am working on now
All three projects continue to evolve. These are the current highlighted development directions.Kedvenckalauz
Using the editorial queue to methodically review real data, sources, images and HU/EN/DE content at a pace of 5–10 profiles per day.
v6.9 • working WordPress system • Dark Social + Editorial CenterEDTR
Turning the academic journey, communication, knowledge repository and personalized learning/administrative capabilities into one consistent platform experience.
Development state 18 • working responsive Dark Social interface prototypeOlti-Kft Enterprise Suite
Refining the one-step ERP2 container-intake workflow and MES/SLA/CMMS integration while stabilizing v6.2.9 and fixing external-integration gaps step by step.
v6.2.9 running system base • ERP2 intake and production developmentPROJECTS IN NUMBERS
3featured system projects
3full interface languages
5core enterprise areas: control, partners, machines, office/HR and monitoring
1shared principle: modular, extensible systems
03 / APPROACH
I design working systems, not just pages
For me, development means thinking through the entire process: from the user interface through data relationships and permissions to operations. The goal is a solution that remains clear to users and can be safely expanded later.
01 User-first02 Modular architecture03 Secure operation04 Long-term extensibility
PROCESS
How I work
From business need to a working system and continuous evolution.Discovery
Map business goals, processes and real user needs.
System design
Design data model, modules, permissions and user journeys.
Prototype
Build a visual, testable version of the core workflows.
Development
Implement features, integrations and administration iteratively.
Testing
Validate real usage, responsive views and edge cases.
Deployment
Deploy into server or WordPress environments.
Evolution
Continue development in milestones based on feedback.
04 / CAPABILITIES
Technology serves the purpose of the system
I do not list tools in isolation: each capability is connected to a concrete system solution used in a project.Web applications
WordPress, PHP, HTML5, CSS3, JavaScript, responsive interfaces
System design
Modular architecture, roles, workflows and scalable structures
Data & integration
SQL, central databases, import/export and cross-module data flows
Operations
Windows Server, virtual machines, browser access and backup-ready operation
Kedvenckalauz v6.9: 1,135 profiles, 13 categories, Dark Social UI and quality-scored editorial verification.
EDTR development state 18: unified education journey, communication, knowledge, personalized learning logic and higher-education administration.
Olti-Kft v6.2.9 / ERP2: central laundry data model, container intake, MES, SLA, CMMS and browser-based server operation.
05 / DEVELOPMENT LOG
Project evolution over time
The log shows important changes together with their project labels.No public project update yet. Create the first entry in the WordPress admin under Project Updates.
06 / INSIGHTS
What is behind the systems?
Short professional notes about project decisions, architecture and lessons learned during development.How the Olti-Kft ERP2 workflows connect
Container intake, MES, SLA, CMMS, cost control and management data connected through one central laundry platform.
What makes EDTR truly unified
Institution registry, academic journey, communication, National Knowledge Repository, personalized learning and administration on one platform.
How the verified Kedvenckalauz knowledge base is built
1,135 animal profiles, 13 categories, search, decision support and a daily 5–10 profile editorial verification workflow.
08 / CONTACT
Interested in one of the systems or the thinking behind it?
This portfolio presents my current development work and its professional background. For projects, collaboration or professional contact, use the options below.