For Teams, Startups & Operators

Get your whole team
AI-capable. Fast.

Praxis is a self-improving training system built for focused working teams — startups, agencies, operator pods, and implementation squads that need everyone certified and deploying AI consistently.

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2–4 weeks
Typical full-team certification
15+
AI tools covered
Content updates included
Founding Member
Preferred pricing at launch
Full Stack Coverage

Training for every AI tool your team uses

From Claude to Copilot — one platform for your entire AI stack. Click any tile to see what PRAXIS teaches.

Claude
Claude
ChatGPT
ChatGPT
Cursor
Cursor
Codex
Codex
Microsoft Copilot
Copilot
Flagship
Polsia
Gemini
Gemini
Grok
Grok
Windsurf
Windsurf
GitHub Copilot
GitHub Copilot
Devin
DeepSeek
DeepSeek
Who it's for

Built for every team type
that deploys AI for real work.

Whether you're a 6-person startup or a 60-person agency pod, Praxis gets every seat certified and running real AI workflows — not just watching tutorials.

🚀

Startup Teams

Everyone's wearing multiple hats and AI needs to be woven into how the whole team works — not just the engineers. Praxis certifies every seat on the tools you're actually using, with workflows built for speed, not theory.

Tool-specific training Full-team certification Self-paced, async
🏗️

Agencies & Service Teams

You sell and deliver AI-powered work. Your team needs to be actually certified — not just good at prompting. Praxis gives every account manager and delivery lead a verifiable credential and a shared SOP library clients can trust.

Verifiable credentials Client-ready SOP library Consistent outputs

Internal AI Teams

You're the AI team inside a larger company — responsible for proving ROI before anyone scales. Praxis lets your team get certified on a standardized curriculum, then report measurable adoption outcomes upward.

Adoption metrics Skill gap tracking Executive-ready reporting
🎯

Operator Pods

High-velocity pods that build with AI day-in, day-out. Your cohort needs shared mental models, not scattered YouTube tutorials. Praxis gives every operator a certification and a common framework for output quality.

Shared frameworks Output QA standards AI Operator Certificate
🔧

Implementation Squads

You're deploying AI workflows inside client organizations. Praxis certifies your implementation team on the platform-specific skills they need, so every client engagement starts from a consistent quality floor.

Platform-specific paths Client delivery standards Verifiable certs
🌐

Cross-Functional Rollout Teams

Marketing, Ops, Finance, and Engineering all need different AI skills but a common baseline. Praxis lets you run role-tailored paths across every function while tracking adoption from a single admin dashboard.

Role-based paths Unified admin view Multi-function coverage
Core use cases

What teams actually
use Praxis for

Not theory. Real deployment patterns from the teams that use structured AI enablement to ship faster and more consistently.

Rapid team onboarding to AI tools

New hire or new tool — Praxis gets every team member up to speed in days, not weeks. Role-based paths mean engineers, marketers, and ops leads each learn what's relevant to their work.

📋

Standardizing AI workflows across the team

Stop the inconsistency. Upload your team's SOPs and Praxis builds training modules from them — so everyone follows the same workflow, produces consistent outputs, and QAs the same way.

🏆

Getting the team certified before client work

Agencies and implementation teams use Praxis to certify the full squad before a major engagement. Clients see a certified team. You deliver with a documented quality baseline instead of hoping everyone's competent.

📊

Tracking who's adopted AI and who hasn't

The admin dashboard shows completion rates, skill gaps, and adoption trends in real time. Team leads stop guessing whether their AI rollout is working — they see the data.

🔄

Staying current as AI evolves

The AI stack changes every 60 days. Praxis monitors it and auto-updates course content when new models ship or tool interfaces change. Your team's training never goes stale without manual effort.

🧪

Building a repeatable AI QA process

Output quality drops when teams ship AI-generated work without a review standard. Praxis trains your team on output validation, error-catching, and responsible use — so quality compounds instead of degrading.

The real problem

Team AI deployment breaks — not because of the tools. Because of the gap.

Every team adopts AI tools. Almost none build a repeatable, team-wide deployment that holds. Here's why.

⚠️

Tutorials teach tricks, not systems

Teams watch demos and YouTube videos, then each person develops their own idiosyncratic approach. There's no shared framework, no QA standard, and no way to scale what works.

🚫

No output quality standards

Teams ship AI-generated work without validation workflows. Errors compound. Clients lose trust. Adoption quietly stalls because the team has been burned too many times.

📉

Zero visibility into who's adopted what

Team leads have no way to see who's actually using AI well, who's faking it, and whether the rollout is generating any measurable outcome. Gut feelings don't close skill gaps.

💸

Expensive seat waste

You're paying for Copilot, Claude, and Cursor licences across the whole team. If half the team doesn't know how to use them productively, you're burning budget on unused seats every month.

🔀

Inconsistent outputs across the team

One person uses AI brilliantly. Five others use it badly. The result is unpredictable work quality, frustrated reviewers, and a manager who has to manually QA everything anyway.

Training that goes stale in 60 days

You run a training session. Then a major model update ships. Then a new tool becomes essential. Now your training is out of date — and nobody has time to update it.

Rollout path

From signup to
certified operators

No lengthy implementation project. Praxis is live for your team in a day, and the first certs start coming in within a week.

1

Team lead sets up the workspace

Create your team, configure role-based learning paths, and upload your SOPs. Praxis generates tailored course sequences for each function — Engineering, Marketing, Ops, Sales — in minutes.

2

Invite the team — they train async

Each member gets a personalized learning path. Self-paced modules average 20–40 minutes. Adaptive assessments surface what each person actually doesn't know — not what they think they know.

3

Admin tracks adoption in real time

The admin dashboard shows who's on track, who's lagging, and where the skill gaps are by role. Automated nudges handle follow-up — no manual chasing from the team lead.

4

Every member earns a verifiable cert

AI Operator Certificates are verifiable via public URL. Your team can prove their capability — on resumes, LinkedIn, and in client pitches. New AI tools get added to the library automatically.

What you get

Concrete deliverables, not vague promises.

When your team finishes onboarding with Praxis, here's exactly what you walk away with.

🏆

AI Operator Certificates for every member

Each team member earns a publicly verifiable AI Operator Certificate — shareable on LinkedIn, embeddable in client proposals, and valid as proof of structured training in hiring and contract conversations.

📚

A shared team SOP library

Your internal SOPs and workflows, turned into training modules. Every team member learns your actual processes — not generic AI theory — so output consistency improves across every function.

📊

A real-time adoption dashboard

Live completion rates, skill gap analysis, and adoption trends per role and individual. Stop guessing whether your AI rollout is working — see it in the dashboard.

🔄

A training system that never goes stale

Content auto-updates as the AI landscape evolves. When GPT-5 ships or Cursor releases a major update, your team's training reflects it — without any manual effort from your side.

🧪

An output QA framework your team shares

Praxis trains every member on output validation and error-catching standards — so reviewers stop having to re-do AI work from scratch and quality becomes a team-level baseline, not an individual skill.

📋

Role-specific learning paths per function

Engineering, Marketing, Ops, and Sales each get tailored paths. No one sits through irrelevant content. Every hour spent in Praxis maps directly to the AI tools and workflows that person actually uses.

Outcomes & metrics

What gets measured, certified,
and improved

Praxis gives you a measurable baseline before training and a verifiable record of what changed afterward.

Per-seat
Skill gap scores

Adaptive assessments reveal what each person actually knows vs. what they claim to know — broken down by tool and workflow category.

Team-wide
Adoption rate

Track what percentage of the team has completed each module and certification milestone — by role, function, and individual. Drill down on who's behind and why.

Verified
AI Operator Certs

Every certificate is issued with a public verification URL. Auditable, employer-recognized, and time-stamped. Your team's AI capability is documented — not just claimed.

Ongoing
Curriculum freshness

Training content is monitored against the real-world AI landscape. When it drifts, Praxis flags it and proposes updates — keeping your team's certification current, not just historically accurate.

Platform capabilities

Built for teams, not individual learners.

Every feature is designed for training working teams — with admin visibility, workflow integration, and continuous curriculum improvement built in.

🔄

Self-improving curriculum

AI-generated content auto-updates as the landscape shifts. New tool coverage, refreshed playbooks, updated standards — delivered continuously without manual effort.

🧪

Adaptive assessments

Assessments adapt to each learner's performance — surfacing real knowledge gaps, adjusting difficulty, and building toward mastery rather than checkbox completion.

📊

Full admin visibility

See exactly who's trained, who's behind, and where adoption is stalling. Real-time dashboards across every seat and cohort — with export for leadership reports.

🎯

Team-specific tailoring

Upload your SOPs, docs, and internal processes — Praxis adapts training to reflect your team's actual workflows, tools, and standards, not generic industry content.

Admin content approval

New and updated courses go through an admin review queue before the team sees them. Full governance over what your team is trained on — no surprises.

🔒

Enterprise features Enterprise

White-label platform, SSO/SAML, custom domain, and dedicated success management. When your team becomes a department rollout, Praxis scales with you.

The wedge strategy

Why smart org-wide rollouts start with one team.

Trying to train 200 people at once is how AI training initiatives fail. The organizations that succeed start with a focused team — get them certified, measure the outcomes, then use that proof to expand.

Praxis is designed for this pattern. Start with your pilot team. Show the adoption metrics. Bring leadership the data. Then scale to the whole org — with Organizations plan infrastructure already in place.

Start with your team →
1️⃣
Pilot team gets certified (weeks 1–3)
Measurable adoption data, real cert records, workflow improvements documented.
2️⃣
Leadership sees the outcomes
Adoption dashboard shows the data. Certs demonstrate the investment. Budget case builds itself.
3️⃣
Scale to org-wide rollout
Graduate to Organizations plan with the same platform. No migration. Same curriculum, org-wide infrastructure.
Why act now

Your competitors are certifying their teams right now.

Teams that standardize AI training in 2025 will run materially faster and cheaper than those that don't. The gap between structured teams and unstructured teams compounds every month.

higher AI adoption rates in teams with structured training vs. informal "figure it out yourself" approaches

60 days

average time for a major AI model update or new tool to become standard — most team training is already out of date

2–4 wks

typical full-team certification timeline with Praxis — from first login to every member holding a verifiable AI Operator Certificate

20-minute session · No slides, just the product · Founding member pricing locked at signup

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