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PathHub AI Engine

Not just AI.
An engine we built ourselves.

PathHub AI is no generic chatbot wrapper. Our model-agnostic engine picks the best available model for every task — the intelligence lives in the architecture around it: RAG-based project context, specialist routing, persistent memory and Agentic AI that actually gets work done.

Model-Agnostic Engine RAG Context Specialist Routing Learns over time GDPR · EU servers
chunks_matched: 7
router → planner
memory.recall()
PathHub AI Engine · live
v4.7.2
1
Input & Intent
Parse user query · classify intent
parse
2
Context Layer (RAG)
Project data + documents + memory
retrieve
3
Specialist Routing
Pick best engine + prompt architecture
route
4
Verification
Output checks · consistency · accuracy
verify
The Mechanics

How our AI actually works

Four layers tailoring every response to your project — from semantic search of your data to verified output.

Learning AI

Your AI gets sharper with every project

PathHub AI doesn't forget — but not through model training: workspace context, documents and decisions live in your EU-hosted project store and are passed to the AI as context with every request (RAG). The result: recommendations get noticeably more precise over the weeks because your context grows — without your data ever being trained into a model, neither by us nor by the model providers.

+68%
Response precision after workspace onboarding
Documents indexed per workspace (RAG)
Move the timeline
Week 1 Week 4 Week 12+
Agentic AI

Your AI colleagues that actually do the work

No more "ask the chatbot". Our Agentic AI runs complex tasks fully autonomously: analyzes, prioritizes, writes, applies recommendations — and delivers finished results. One click, one result, zero prompt engineering.

Agents · active
6 tasks · live
★ Agent spotlight
Weekly Status Report Agent
Analyzes your full project state and produces a structured weekly status — progress, budget, risks and next steps.
    Common tasks
    All AI Features

    AI woven into every part of the app

    PathHub AI is not an isolated chat box. The AI is built into every workflow — from the first project idea to the final report.

    AI Project Planning
    Describe your idea, get a complete plan with phases, tasks, budget, risks & stakeholders.
    Custom prompts & PM style configurable
    Automatic compliance check (93+ rules)
    All plans
    AI Recommendations
    Prioritized, actionable recommendations with impact rating — applied to your plan with one click.
    High · Medium · Low priority
    Agentic Apply (1-click execution)
    Max plan
    AI Assistant
    Your project advisor — knows every phase, every task, every budget line. Answers based on your real project context.
    Quick shortcuts right inside the project
    References your workspace documents
    Free · Pro · Max
    Agentic AI
    Autonomous agents for status reports, weekly plans, stakeholder updates, risk scans — finished results, one click.
    6 built-in agents + free-text prompts
    Documents persist in your workspace
    Max plan
    AI Toolbox · 11 Tools
    RACI, Eisenhower, Risk Matrix, Stakeholder Map, SWOT, WBS, Gantt, Cost Compare & more — all interactive, all from your data.
    Inline edit, drag-drop, auto-save
    Export as PNG from any tool
    Max plan
    Compliance Library
    95+ regulatory rules (GDPR, EAA, ISO, IT-SG, …) — auto-detected in your project context and prioritized.
    Criteria · actions · penalties · sources
    Filterable by industry
    All plans
    At the core
    We don't rely on one model — we pick the right specialist for each task.
    G
    GPT-5.4 Mini
    Fast structured outputs: text polishing, subtasks, matrix & resource tools — and fallback whenever Claude is unavailable.
    C
    Claude Haiku 4.5
    Structured reasoning with a low hallucination rate: project planning, AI assistant, AI recommendations, risk analysis, agents & documents.
    Models are interchangeable — our engine is model-agnostic. The magic lives in the architecture around them: RAG pipeline, prompt specialization, memory layer and verification. When a model gets better, PathHub gets better automatically — no migration, no effort on your side.
    Continuous development

    The AI engine keeps getting better

    New capabilities, deeper integrations, smarter learning — a glimpse of what's on our roadmap.

    Shipped March 2026
    11 interactive AI tools
    All PM tools (RACI, Eisenhower, Risk, Stakeholder, WBS …) now with inline edit, drag-drop and auto-save.
    Shipped March 2026
    Compliance library expanded to 93+ rules
    Every rule enriched with criteria, actions, penalties and source links — automatically applied in your project context.
    Live now April 2026
    Custom prompts & PM style
    New fields in the project setup: choose your PM style (Scrum, Kanban, Waterfall …) and add a free-text custom prompt the AI follows precisely.
    Live now April 2026
    Agentic AI v2 with persistent memory
    All agent outputs are stored, free-text prompts for custom document types, expanded context usage.
    Coming Q2 2026
    Deeper workspace RAG integration
    Documents, emails, notes & prior projects auto-indexed — the AI learns your workspace context even deeper.
    Coming Q3 2026
    Multi-agent orchestration
    Multiple agents coordinate autonomously: risk scanner + action planner + budget adjustment — fully autonomous.
    Coming Q4 2026
    Proactive AI — suggestions without prompting
    The AI watches your project and suggests adjustments proactively — before issues arise.
    Privacy & trust

    GDPR-compliant. Without compromise.

    Carefully chosen providers, minimal data sharing, full transparency.

    Servers in Germany

    All project data lives on a Hetzner (EU data center, Germany) server in Falkenstein — never outside the EU.

    No training on your data

    Neither OpenAI nor Anthropic use API requests for training. What you send stays yours.

    Minimal data sharing

    Only project data. Never: email, name, password, payment info or IP address.

    You always decide

    Every AI output is a suggestion. Accept, edit, discard — full control stays with you.

    Data flow at a glance

    What goes where — and how long it is stored.

    Data Where it goes Retention
    Project data, documents & workspace context Hetzner servers, Falkenstein (EU) Until you delete it
    Per AI request: relevant project context (RAG) Anthropic / OpenAI API — under a DPA, no training Provider-side max. 30 days (abuse monitoring), then deleted
    Name, email, password, payment data, IP Never sent to AI providers

    See for yourself — in 2 minutes.

    Create your first Path for free. No credit card, no hidden costs — instant AI-generated project plans.

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