Train your org to operate| — not just use AI.
Praxis is a self-improving training system for universities, enterprise, and AI-native teams. Adaptive curricula, org-specific tailoring, built-in assessments, and admin approval workflows — one platform for every learning organization.
The AI skills gap is operational, not technical.
Everyone is learning to prompt. Nobody is learning to operate. The gap between knowing AI exists and deploying it as a business system is where billions in value disappear.
Prompt courses teach tricks, not systems
Your team watches tutorials but can't translate that into repeatable workflows that run without supervision.
No QA framework for AI outputs
Teams ship AI-generated work without validation standards. Errors compound. Trust erodes. Adoption stalls.
Managers can't measure AI adoption
No visibility into who's using what, how well, or whether AI is actually driving business outcomes.
Three pillars of AI operations
Praxis isn't a course library. It's an enablement system built for organizations that take AI seriously.
Structured Training
Role-based learning paths from fundamentals to certification. Not tutorials. Systems-level training that turns individuals into AI operators.
Org Enablement
Seat management, team progress tracking, and white-label distribution. Deploy AI training across your entire organization or license it to clients.
Admin Command Center
Real analytics on adoption, completion, engagement, and business impact. Know exactly which teams are AI-ready and which need help.
Built for Education, Enterprise,
and Everything In Between.
One platform. Three deployment contexts. Every org type benefits from training that adapts, improves, and never goes stale.
See how Praxis works for your org type
Each market has different workflows, compliance requirements, and outcomes. See exactly what Praxis looks like for you.
Training for every AI tool your team uses
From Claude to Copilot — master the full AI operator stack. Tool-specific courses that keep pace as the ecosystem evolves.
Every major frontier model your team might use — PRAXIS covers them all. Teams need to understand which model to use, not just how to use one.
Claude
Anthropic
Opus 4.6, Sonnet 4.5, Haiku. Leader on SWE-bench. Strongest prose + code output. 500K+ context in Enterprise tier. #1 developer usage at 71%.
GPT-5
OpenAI
GPT-5.4 — best all-rounder, largest ecosystem. Powers ChatGPT, Microsoft Copilot. Strong multimodal (text, audio, image, video). 400K context. Canvas editor.
Gemini
Google
Gemini 3.1 Pro leads reasoning benchmarks (94.3% GPQA). Native multimodal. 1M+ token context. Deep Google Workspace & Cloud integration.
Grok
xAI
Leads raw coding benchmarks (75% SWE-bench). 2M token context window — largest available. Real-time X/social data integration. Strong agentic capabilities.
Llama 4 Scout: 10M context, private deployment. Leading open-source ecosystem for fully-controlled custom builds.
Open weights, no license restrictions. Enterprise-grade open models. Strong multilingual. Custom fine-tuning without friction.
R1 reasoning at 90% cheaper pricing. Disrupting the cost curve. Top-tier performance for cost-sensitive enterprise workloads.
Qwen3.5 competing at frontier level. Excellent coding + multimodal benchmarks. Strong Asia-Pacific enterprise presence.
Different models excel at different tasks — coding, reasoning, writing, multimodal, cost efficiency. PRAXIS trains teams to select the right model for each use case and master prompt engineering, context management, and agentic workflows across the full stack.
Three distinct categories. The 2026 shift: every tool is racing toward the agent category. PRAXIS trains teams on all three layers.
Cursor
1M+ users, 360K paying. VS Code fork with AI in every workflow. Composer for multi-file editing, Agent mode. Best all-around IDE experience in 2026.
Windsurf
Pioneered Cascade for agentic multi-file editing. Best price-to-feature ratio. Free individual tier. Cognition-powered autonomous code flows.
Agent-first IDE. Gemini-powered with multi-agent orchestration + built-in browser. Mission Control for parallel workflows. Supports Gemini 3 Pro, Claude, GPT.
Spec-driven development: executable specs → plans → agent orchestration. Claude Sonnet-powered. Built for enterprise-grade autonomous workflows.
Claude Code
Terminal-native AI agent — not just a chatbot. Plans, executes, runs tests, iterates autonomously. 1M token context. Agent Teams for parallel workflows. #1 developer tool.
OpenAI Codex
OpenAI's autonomous coding agent. Sandboxed execution environment. Included with ChatGPT Plus and Copilot Pro. End-to-end task completion.
First "AI software engineer." Autonomous end-to-end feature building from ticket to PR. $20/mo Core plan. Handles complex multi-step engineering tasks.
Open-source, git-native. Full agentic capability with your own API keys. Aider for terminal-first workflows, Cline for VS Code. Zero lock-in.
GitHub Copilot
15M+ developers. Tightest GitHub integration. PR reviews, issue-to-PR automation. Now supports Claude, Codex, and Copilot agents under one subscription. $10/mo entry.
Cloud-native assistant for AWS ecosystem. Deep CloudFormation, Lambda, CDK integration. First choice for enterprise AWS development teams.
Native GCP ecosystem assistant. Deep Cloud integration — BigQuery, Firebase, Cloud Run. Enterprise-tier with org-level controls and VPC Service Controls.
IDE-native assistants for existing JetBrains workflows. Tabnine runs fully on-premise for air-gapped security requirements. HIPAA/SOC2 compliant.
The key shift in 2026: every tool is racing toward the agent category. Many developers combine tools — Cursor for daily coding, Claude Code for complex refactors. PRAXIS trains teams on tool selection, configuration, context engineering, and autonomous pipelines.
Curriculum built for real operators
Not prompt engineering tips. Operational deployment training.
Claude Mastery
- System prompts and operator/user turn design
- Extended thinking and reasoning chains
- Context window management at scale
- Agentic workflows with tool use and MCP
- Production-grade prompt engineering patterns
ChatGPT & OpenAI Ecosystem
- GPT-4o and o-series models: when and why
- Assistants API, threads, and vector stores
- Function calling and structured outputs
- Custom GPTs: design, deployment, and limits
- Canvas workflows and real-time operator patterns
Cursor: AI-Native IDE
- Cursor Rules: writing rules that actually work
- Context management: files, docs, and codebase indexing
- Agent mode vs. Composer: when to use each
- Multi-file refactors and autonomous code generation
- Debugging and review workflows with AI assistance
Codex & Microsoft Copilot
- Codex CLI: autonomous task execution in terminal
- Copilot for M365: Word, Excel, Outlook, Teams
- GitHub Copilot: enterprise rollout and governance
- Prompt design for IDE and productivity tools
- Compliance, data residency, and usage controls
Agentic & Multi-Agent Systems
- Task decomposition for autonomous AI execution
- Orchestrator-subagent design patterns
- Failure modes, recovery, and human-in-the-loop
- Polsia: building companies with autonomous agents
- Governance, audit trails, and safe deployment
Operational Deployment
- Marketing, sales, and support automation at scale
- Team AI onboarding: from pilot to org-wide rollout
- SOP creation, maintenance, and AI-assisted updates
- Manager oversight, adoption metrics, and governance
- Stack integration: connecting tools into coherent workflows
AI-Assisted Company Building
- End-to-end: idea → shipped product using the AI operator stack
- Polsia platform: autonomous agent teams running business functions
- Multi-agent orchestration for marketing, engineering, and ops
- Cost optimization, model selection, and agent governance
- Building the company that runs while you sleep
Advanced Operator Certification
- Capstone assessments on the full AI operator stack
- Real-world scenario simulations: debug, optimize, deploy
- Cross-model, cross-tool competency verification
- Peer-reviewed project submission and scoring
- The recognized standard for enterprise AI operator competency
Your subscription includes:
You're not paying for a course dump. You're paying for a continuously improving AI operating capability.
Continuously Updated Courses
Curriculum evolves with the AI landscape. New tool coverage, updated best practices, and fresh playbooks — not a frozen snapshot.
New AI Tool Coverage
As the AI ecosystem evolves, your training keeps pace. New tools, workflows, and integrations are added to the platform continuously.
Best-Practice Playbooks
SOPs, prompt libraries, and deployment guides that reflect current operator standards — updated as best practices evolve.
Org-Level Analytics
Know exactly who's trained, who's stuck, and where adoption is stalling. Admin visibility across every seat.
Training Management Tools
Seat management, team assignment, org progress tracking, and role-based access. Full org governance out of the box.
Evolving Operator Standards
Praxis is a living knowledge base. As the field matures, so does your team's training — automatically.
Agentic AI & Multi-Agent Systems
This is where the industry is going. PRAXIS trains teams to get there first — building, deploying, and managing autonomous AI agents that run entire business functions.
Agent Architecture
Build and orchestrate autonomous AI agents. Learn orchestrator-subagent design patterns, task decomposition, failure recovery, and human-in-the-loop governance.
Agent Frameworks
Hands-on training across CrewAI, Anthropic Claude Agent SDK, OpenAI Agents SDK, Microsoft Copilot Studio, and Model Context Protocol (MCP) for tool integration.
Polsia: The Agent Platform
Train on the flagship agentic company-building platform. Autonomous agents running marketing, engineering, support, and ops — 24/7, without supervision. The real-world capstone.
Multi-Agent Collaboration
Agent-to-agent communication, parallel execution, task delegation, and result aggregation. Learn how enterprise teams deploy parallel agent networks for complex business workflows.
Safe Agent Deployment
Governance, audit trails, approval workflows, and rollback procedures for autonomous systems. Deploy agents that are observable, controllable, and enterprise-ready.
of enterprise applications will include integrated agents by 2026 — Gartner. Organizations that train their operators now will execute faster, cheaper, and without the learning curve.
Built for serious organizations
PRAXIS is infrastructure for learning organizations — not a tutorial library. Seat-based licensing, org-level analytics, compliance tracking, and white-label distribution for training companies that need to scale.
Org-level training management — Seat assignment, team cohorts, completion tracking, and role-based access across the entire organization.
White-label distribution — License PRAXIS under your brand for clients, partners, or franchise networks. Full platform, your identity.
Compliance & HR SOP integration — Deploy AI SOPs org-wide. Track completion, generate compliance reports, and link training to performance reviews.
ROI metrics — Team productivity tracking, tool adoption rates, competency scores, and measurable business impact from every training cohort.
Seat-Based Licensing
Flat per-seat pricing with volume tiers. Provision and deprovision instantly. SSO/SAML, custom domains, and centralized billing with finance-friendly invoicing.
Custom Deployment
Dedicated infrastructure, custom curriculum, branded platform, and dedicated success manager. SLA-backed uptime. Contact us for pricing.
White-Label & Reseller
License the full PRAXIS platform under your brand. Revenue sharing model. Full curriculum access, custom content injection, client-level analytics.
The academic AI infrastructure
From university syllabi to corporate onboarding — PRAXIS builds AI-ready operators at every stage. Accreditation-ready frameworks, certification paths, and professor workflow support.
University Syllabus Generation
Auto-generate AI operator syllabi aligned to accreditation frameworks. Rubric creation, assessment design, and adaptive difficulty calibration for any course level.
Professor Workflow Support
AI-assisted lesson planning, student progress analytics, automated grading for open-ended AI exercises, and cohort performance dashboards for faculty.
Student Certification Paths
Structured certification tracks from foundations to advanced operator. Students earn verifiable credentials — the competitive edge every AI-native employer will screen for.
Corporate Onboarding
Day-one AI operator onboarding programs. Role-specific learning paths, tool setup guides, and competency verification before employees touch production systems.
Continuing Education
Quarterly re-certification tracks as the AI ecosystem evolves. Spaced repetition keeps skills current. Professional development credits for completing advanced operator paths.
Accreditation-Ready
Competency frameworks built to align with institutional accreditation requirements. LTI/SCORM integration for seamless connection to existing LMS infrastructure.
Not a static course library.
A living training system.
The AI ecosystem changes every 60 days. Static course libraries are stale before you finish them. PRAXIS monitors the ecosystem continuously — proposing, generating, and updating curriculum with human approval gates at every step.
"The operating system every learning organization will eventually need. The question is only whether you adopt it now or after your competitors already did."
Continuous Discovery
Automated monitoring of the AI ecosystem — new tools, model releases, workflow innovations — surfaces curriculum proposals in real time.
Adaptive Assessment Engine
Adaptive difficulty based on learner performance. Spaced repetition and mastery-based progression. No two learners get the same path.
Admin Approval Workflows
Platform proposes, humans decide. Every curriculum update, new lesson, and assessment change requires explicit approval before going live. You stay in control.
Self-Improving Curriculum
Learner performance data feeds back into curriculum quality. Low-scoring content gets flagged, revised, and re-validated. The platform gets smarter over time.
The operating system every learning
organization will eventually need.
Universities, enterprise teams, and AI-native organizations trust Praxis to train, certify, and continuously improve the humans running on AI.
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