Field Manual8 min read
The 10 Rules for AI Agents in 2026
A current operating manual for building AI agents that are useful, measurable, governed, evaluated, and connected to real business workflows.
ReadOperational Intelligence Flow
AI agents & automation that do your team's repetitive work
Fluxora builds custom AI agents that connect to the tools you already use, handle the manual tasks, and run real workflows from start to finish — data entry, reports, research, support, and follow-up.
FLUXORACore
Agents
Autonomous execution & tool calls.
active
Platforms
Portals & internal tooling.
synced
BI Layer
Insight & decision models.
decision
Agent active
Data synced
Insight generated
Workflow automated
FLUXORACore
Agents
Autonomous execution, analysis, & tool calls.
active
Platforms
Intelligent client portals & internal tooling.
synced
BI Layer
Insight generation & decision recommendation.
decision model
Agent active
Data synced
Insight generated
Workflow automated
System Capabilities
AI Agents
Workflow Automation
AI Integrations
Custom Dashboards
Web Apps
Data Pipelines
Enterprise Stack
Friction vs Leverage
Problems we solve
If any of these sound familiar, that's exactly where AI agents and automation pay off the fastest.
Problem
Your data is scattered everywhere
Fluxora SolutionWe connect your databases, spreadsheets, CRM, forms, and documents so everything lives in one place you can actually use.
Problem
Your team keeps doing the same manual tasks
Fluxora SolutionWe build AI agents that handle the repetitive work — sorting, summarizing, routing, drafting, and triggering the next step automatically.
Problem
Your website just sits there
Fluxora SolutionWe turn your site into something that works for you — capturing, processing, and acting on data instead of only showing information.
Problem
You want AI but don't know where to start
Fluxora SolutionWe look at how you work, find the task where AI saves the most time, and build that first — before spending on anything big.
Core Offerings
What Fluxora builds
Three things, built to work together: AI agents that do the work, web apps your team actually uses, and dashboards that turn your data into decisions.
[sys.build.01]
AI Agents & Automation
Custom AI agents that take real work off your team's plate. They read, sort, draft, answer, and trigger actions across the tools you already use — with you approving the steps that matter.
- Document & email handling
- Lead qualification & follow-up
- Research & reporting agents
- Human approval where it counts
[sys.build.02]
Web Apps & Portals
Client portals, internal tools, and AI-powered apps built around how your business actually runs — not generic templates you have to bend to fit.
- Client portals
- Internal tools
- SaaS MVPs
- AI-powered interfaces
Autonomous Systems
AI agents that actually do the work
Most "AI agents" are just chatbots. Fluxora agents are connected to your tools, your data, and your approval rules — they take action, they don't only answer questions. Fluxora runs agentic systems every day, including a self-hosted setup built on the Hermes model from Nous Research, so the agents we build for you are proven in real, daily use — not demos.
STEP 01User RequestQuestion, task,
or business intent
or business intent
STEP 02Agent ReasoningInterpret goal,
plan next steps
plan next steps
STEP 03Tool CallsUse APIs, search,
or system actions
or system actions
STEP 04Data RetrievalFetch relevant data,
context, and sources
context, and sources
STEP 05Human ReviewValidate output,
approve or refine
approve or refine
STEP 06ActionExecute workflow
and deliver outcome
and deliver outcome
EXAMPLE ACTIONS
send report
update CRM
create summary
trigger email
generate insight
Modular reasoning
Connected tools
Verified retrieval
Human-in-the-loop
Operational Roles
Production-Ready Agents
[sys.agent.01]Document analysis agent
Connected
[sys.agent.02]Lead qualification agent
Connected
[sys.agent.03]Customer support agent
Connected
[sys.agent.04]Executive reporting agent
Connected
[sys.agent.05]Research & monitoring agent
Connected
[sys.agent.06]Internal knowledge agent
Connected
Operational Analytics
Dashboards that tell you what to do next
Fluxora connects your data into dashboards that go beyond charts. They spot patterns, flag what matters, and recommend the next action — so you spend less time reading numbers and more time acting on them.
Fluxora Engine
Operational BI Portal
Revenue Pipeline
$2.4M+18%
Active Agents
5 / 5100%
Data Sources
12synced
AI Decisions
2,847today
AI Recommendations
Prioritize top 3 leads in pipeline
Flag email anomaly in queue B
Generate Q2 forecast digest
Decision Queue
Expand Q3 campaign budgetHigh
Escalate support ticket #1994Done
Update lead scoring modelLow
Data Sources
PostgreSQL
Salesforce
HubSpot
Stripe
Weekly report ready
View PDF ReportProof Architectures
Real systems we've built
Four working examples — a public AI product, daily agent infrastructure, private document search, and AI-search visibility.
[sys.case.01]
Public AI Health Product
LabLumen
~3,000 usersAI referralsMedical + pet flows
- Problem
- Medical and veterinary information is hard for people to understand before a consultation.
- What we built
- An AI platform with accounts, credits, medical uploads, symptom flows, generated reports, and a dedicated pet health path.
- Proof
- Nearly 3,000 users, mostly on the free plan, with early referral traffic from Gemini, ChatGPT, and Claude.
Why it mattersShows a complex AI workflow turned into a real public product with real adoption.
[sys.case.02]
[sys.case.03]Agent Infrastructure (used daily)
Hermes Orchestration
Hermes · Nous ResearchCron agentsObsidian memory
- Problem
- Daily operations create endless recurring work — SEO reports, keyword tracking, research, video production, and knowledge capture.
- What we built
- A self-hosted agent infrastructure built on the Hermes model from Nous Research, running on an Ubuntu server (the-factory) with scheduled jobs and tool pipelines.
- Proof
- Runs cron-based SEO reports, ranking trackers, a Hyperframe video pipeline, and an Obsidian-connected LLM wiki fed by X bookmarks and daily Hermes conversations — in active use every day.
Why it mattersProof that AI agents can run as real, dependable infrastructure, not just isolated demos.
Private Document Search
Lore Enterprise
Private RAGSource citationsOn-prem ready
- Problem
- Companies waste hours searching large archives of documents, reports, contracts, emails, and past decisions.
- What we built
- A private RAG system that gives sourced answers, with document ingestion, access control, and on-premise or private deployment.
- Proof
- A public blueprint for private infrastructure, designed around verifiable answers and source citations.
Why it mattersTurns internal archives into a knowledge system teams can simply ask questions in plain language.
[sys.case.04]
AI Search Visibility (AEO / GEO / SEO)
AI Visibility Systems
SchemaLLM monitoringAEO/GEO/SEO
- Problem
- Companies now need to show up in AI answers, not just classic Google rankings.
- What we built
- Website architecture built for AI search: clear entities, structured content, schema, sitemaps, crawler-readable pages, and LLM visibility monitoring.
- Proof
- Backed by an internal AEO/GEO/SEO command center that tracks rankings, search signals, and visibility inside LLM answers.
Why it mattersMoves visibility from passive dashboards to measurable presence across search engines and AI assistants.
AI Playbooks
Practical blueprints for AI systems
Guides for agents, dashboards, RAG, support automation, and content systems, written as buildable workflows rather than generic AI commentary.
Solution Blueprint7 min read
The Real Estate AI Agent Blueprint
A blueprint for an AI agent that qualifies property leads, books viewings, updates the CRM, and escalates compliance-sensitive cases to human agents.
ReadSolution Blueprint5 min read
The AI Operations Command Center
How to design a central intelligence dashboard that connects data, agents, traces, workflows, alerts, approvals, and executive decisions.
ReadEngagement Models
How to get started
Start with a focused audit, or go straight to building a practical AI system for one real workflow.
Recommended Start
[sys.engagement.01]AI Audit
A clear look at your workflows, tools, and data to find where AI saves you the most time and money.
- Workflow review
- Tool & data mapping
- AI opportunity roadmap
- Prioritized proposal
- Technical direction
[sys.engagement.02]
Agent + Dashboard MVP
A focused build for one high-value workflow: one AI agent, one dashboard, and one core integration.
- One custom AI agent
- One dashboard or portal
- One key integration
- User-facing interface
- Deployment + docs
[sys.engagement.03]
Full AI Platform
A complete AI-powered platform with multiple agents, dashboards, workflows, and integrations working together.
- Multi-agent workflows
- Dashboards & reporting
- Custom web platform
- API & database integrations
- Monitoring + iteration
Methodology
From your workflow to a working system
01
[sys.process.01]Discover
We learn how you work — your tasks, bottlenecks, tools, data, and goals.
02
[sys.process.02]Design
We map out the agents, the data, the integrations, and the interface your team will use.
03
[sys.process.03]Build
We develop the app, the agents, the dashboards, and the automations.
04
[sys.process.04]Launch
We deploy it, monitor it, document it, and keep improving it for real use.
Founding Leadershipsys.founder.profile
Active
Filip VIJOGLAVIN
Founder & AI Systems Architect
Based:Belgrade, Serbia
Languages:EN · FR · SR
Specialisation:AI Systems Architecture
Google Cloud
Generative AI Leader
[sys.founder.01] — Architecture Philosophy
Built by an AI systems architect
"I build systems that actually run in production, where business logic, clean architecture, and AI capability intersect."
Fluxora is led by Filip VIJOGLAVIN, Founder & AI Systems Architect. Filip builds and runs agentic AI systems every day — including a self-hosted setup on the Hermes model from Nous Research — and combines web development, UI/UX, automation, and AI integration to design systems companies can actually use.
[sys.founder.02] — Capability Matrix
UK-based company
01
Google Generative AI Leader certified
02
Agentic AI systems (daily)
03
AI product builder
04
Web platform architecture
05
English / French / Serbian
06
Questions
Questions buyers ask first
The practical things worth knowing before you book an audit.
How much does a project cost?
Every engagement starts with a fixed-scope, paid AI audit, so you see the exact plan and price before committing to a build. Builds are then quoted in clear phases — no open-ended bills.
How long does it take?
A focused first system (one AI agent plus a dashboard) typically goes live in a few weeks. Larger platforms are delivered in phases so you see value early.
Do my data and documents stay private?
Yes. Systems can be built to run inside your own environment or cloud, with access controls, so sensitive data never has to leave your perimeter.
Who owns the code and the system?
You do. You keep full ownership of the code, the data, and the AI systems we build for you — there is no lock-in.
Do I need a technical team on my side?
No. Fluxora handles the build, deployment, and documentation. Your team just uses the result, and we explain everything in plain language.
What happens after launch?
You get full documentation, plus the option of ongoing monitoring, improvements, and support as your data, team, and needs change.
Audit Request[sys.contact.form]
[sys.contact.01] — Start Here
Ready to put AI agents to work in your business?
Start with an AI audit and we'll find where agents, automation, and dashboards save you the most time.
Discovery Call
30-minute session within 48h
NDA Available
Full confidentiality on request
Rapid Assessment
AI audit report in 5 business days
Response Time
Under 24 hours, guaranteed
Direct Contact
contact@fluxora.ltd[sys.contact.02] — Request Form