All case studies/HowTheF (Internal)

HowTheF (Internal)

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FluxOS: Our Proprietary AI Agent Platform

Internal Project
What we built
100%
Visibility
Into agent operations
Real-time
Monitoring
Conversation logs
1
Dashboard
For all your agents
At a glance

We built FluxOS because our clients needed more than just an AI agent—they needed to see what it was doing, when, and why.

Company

HowTheF builds custom AI agents on FluxOS, our proprietary platform that handles deployment, monitoring, and management. Every agent we create runs on this infrastructure.

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Industry

AI Infrastructure

Deploying AI agents is only the start. Clients needed visibility into what their agents were doing, the ability to audit conversations, and confidence that their AI was behaving correctly in production.

Most AI solutions are black boxes. Hand over the agent, hope it works. But regulated industries and serious businesses need oversight, audit trails, and the ability to intervene when things go sideways.

We built FluxOS because our clients needed more than just an AI agent—they needed to see what it was doing, when, and why.

Oliver Gattermayr

Founder, HowTheF

The problem

AI without oversight is AI without trust

  • Black box deployments: Most AI agents operate invisibly—clients had no way to see what decisions were being made or why.

  • No audit trail: Regulated industries require conversation logs and decision records, but typical AI solutions don't provide them.

  • Fragmented management: Companies with multiple AI agents had no unified way to monitor and manage them all.

Our clients kept asking: "But how do I know what the AI is actually doing?" We built FluxOS to answer that question definitively.

Use case01

Unified Agent Dashboard

FluxOS provides a central dashboard where clients can see every AI agent we've deployed for them. Each agent shows its current status, recent activity, and key performance metrics.

This isn't just monitoring—it's operational control. Clients can pause agents, review flagged conversations, and understand exactly how their AI is performing without touching any code.

1
Automation

Agent Registration

Each deployed agent is registered with FluxOS for monitoring.

Core Agent Logic
1
Agent connects to FluxOS on deployment.
2
Registers with unique agent ID and configuration.
3
Establishes heartbeat for status monitoring.
4
Initializes logging and metrics collection.
Inputs
Agent configuration
Outputs
Registered agent in dashboard
2
Automation

Real-time Monitoring

Dashboard displays live status and activity for all agents.

Core Agent Logic
1
Aggregates status from all registered agents.
2
Displays active conversations and recent completions.
3
Shows error rates and performance metrics.
4
Alerts on anomalies or failures.
Inputs
Agent telemetry
Outputs
Live dashboard view
3
User Action

Client Access

Clients log in to view and manage their agents.

Core Agent Logic
1
Secure authentication for client access.
2
Role-based permissions (view-only, admin).
3
Custom views filtered to client's agents only.
4
Export capabilities for compliance reporting.
Inputs
Client credentials
Outputs
Personalized dashboard access
Use case02

Conversation Logging & Audit

Every conversation an agent has is logged and stored. Clients can search by date, user, topic, or outcome. This is essential for regulated industries where audit trails aren't optional.

The logging system captures not just what was said, but what the agent was thinking—including confidence scores, tool calls, and decision points. Full transparency into AI behavior.

1
Automation

Conversation Capture

All agent interactions are logged in real-time.

Core Agent Logic
1
Captures user input and agent responses.
2
Records timestamps and session metadata.
3
Logs internal reasoning and tool usage.
4
Stores confidence scores and decision paths.
Inputs
Agent conversations
Outputs
Structured conversation logs
2
Automation

Searchable Archive

Logs are indexed for fast search and retrieval.

Core Agent Logic
1
Indexes conversations by multiple dimensions.
2
Full-text search across all message content.
3
Filter by date, agent, user, or outcome.
4
Export to CSV or JSON for external analysis.
Inputs
Stored logs
Outputs
Search results
3
User Action

Compliance Reporting

Generate audit reports for regulatory requirements.

Core Agent Logic
1
Select date range and agents for report.
2
Include relevant conversation excerpts.
3
Add metadata for compliance context.
4
Generate formatted PDF or spreadsheet.
Inputs
Report parameters
Outputs
Audit documentation
Impact

AI You Can Actually Trust

100%

Transparency

Full visibility into agent operations

Complete

Audit Trail

Every conversation logged

Unified

Management

All agents in one place

FluxOS changed the conversation from "trust us, it works" to "here, see exactly what it's doing."

Oliver Gattermayr

Founder, HowTheF

Tech Stack

Real-time DashboardConversation LoggingCompliance ReportingMulti-Agent Management
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