Introducing Praxismith: Bringing Engineering Discipline to AI in the Workplace
Eunix Tech has launched Praxismith, an interactive platform that teaches teams to work with AI and AI agents with production-grade discipline.
Across client engagements at Eunix Tech, we see the same pattern again and again. Teams are keen to adopt AI, but what they build stays fragile.
One person finds a prompt that works well. They copy it into a personal document. They get an answer that looks correct. Nobody checks it. Weeks later, a quiet error shows up in an invoice, a report, or a client deliverable.
The model is rarely the problem. The missing piece is process.
Today we are announcing Praxismith, an interactive learning platform built by Eunix Tech. It teaches professionals how to work with AI with the same discipline we expect from any production software system.
Moving Beyond Prompt Tricks
Most AI training on the market teaches prompt writing. Prompts matter, but they are a small part of the work.
A good prompt with no verification step is still a guess. It just looks more confident. This is the same failure we see when we are called in to rescue an AI system that stalled in production: the output was never wrong in an obvious way, so nobody caught it early.
Praxismith teaches a structured loop with five stages:
- Outcome. Define what done looks like before you touch the model.
- Context. Give the model structured constraints, sample data, and your house tone.
- Verification. Check every output against explicit failure criteria.
- Retention. Save prompts and rules as reusable, testable assets.
- Action. Let agents act only after gates and safeguards have been verified.
The order matters. Most teams start at stage two and stop at stage two. The loop closes when production failures become new checks, so the process gets stronger the longer a team runs it. This is the same idea behind a proper LLM evaluation practice, scaled down to the level of daily work.
Two Tracks: For Operators and For Builders
Praxismith is built as two sequential courses.
Working With AI (12 lessons) is for analysts, operators, managers, and independent professionals. These are people who need to produce dependable work using conversational AI. They do not need to know how a model is served. They need to know how to check it.
Working With AI Agents (16 lessons) is for technical teams and builders. It covers agent architecture, harness environments, deterministic safeguards, tool permissions, and blast-radius control. If your team is moving from chat to systems that take actions, this is the track. It follows the same thinking we apply when we build AI agents for clients.
The platform includes interactive prompt runners that work in the browser, lab checklists, and practical exercises. The examples are grounded in everyday Indian commercial work - GST compliance checks, vendor follow-ups, client communication - rather than abstract scenarios.
Access for Teams and Individuals
The first four modules of Praxismith are free and open to anyone. No registration. No payment.
For teams that want to train staff on AI safety and agentic systems, Eunix Tech offers group licensing and guided workshops alongside the platform.
- Explore the curriculum: praxismith.com
- Team access enquiries: email
rajeshdhiman@eunix.techwith your team size and what you need.
Frequently Asked Questions
Who is Praxismith for?
Two groups. Analysts, operators, managers, and independent professionals who use conversational AI for daily work. And technical teams who are building or running AI agents. Each group has its own course.
Do I need a technical background?
Not for the first course. Working With AI assumes no engineering knowledge. Working With AI Agents is written for people who build software.
Is Praxismith free?
The first four modules are free, with no signup. The rest of the curriculum is paid, and group licensing is available for teams.
How is this different from a prompt engineering course?
Prompt engineering is one stage out of five. Praxismith spends most of its time on the stages that prompt courses skip: defining the outcome, verifying the output, saving what works, and controlling what an agent is allowed to do.
Can Eunix Tech run this as training for our team?
Yes. We offer group licensing and guided workshops, and we can shape the labs around your own workflows. Email rajeshdhiman@eunix.tech with your team size and requirements, or get in touch with us.
