Building Reliable AI for GTM
3 weeks • 6 hours live • Production techniques
Your AI workflows work. Sometimes.
Some hallucinate. Some break silently. Some produce results you can't explain.
The difference isn't the tools. It's the engineering rigor.
January 2026 Cohort
Wednesdays: Jan 14, 21, 28
$599 • 20 spots remaining
Live on Zoom • Recordings available • Certificate included
The Problem
You've built dozens of AI workflows.
Some work beautifully. Others fail in ways you can't predict.
You're not sure why. Neither are your stakeholders.
This workshop teaches the techniques we developed at Sellestial – production AI systems processing thousands of records daily without human review.
No tool tutorials. Pure technique. Works in n8n, Make, Clay, Python, anything.
Schedule
January 2026 Cohort
| Session | Date | Time |
|---|---|---|
| Week 1 | Wed, Jan 14 | 4–6 PM CET • 10 AM–12 PM EDT • 7–9 AM PDT |
| Week 2 | Wed, Jan 21 | 4–6 PM CET • 10 AM–12 PM EDT • 7–9 AM PDT |
| Week 3 | Wed, Jan 28 | 4–6 PM CET • 10 AM–12 PM EDT • 7–9 AM PDT |
Live on Zoom • Recordings available • Slack access • Certificate
Week 1: Structured Prompt Architecture
Building prompts that scale.
The Four Modes.
Generate, Extract, Classify, Execute. When to use each. Real Sellestial prompts dissected.
Structuring for Reliability.
XML vs Markdown vs JSON. Separating instructions, constraints, context. Output schemas that downstream systems can consume.
Workshop.
Transform a napkin prompt into production structure. Peer review.
Homework:
Restructure one of your production prompts. Document before/after behavior.
Week 2: Guardrailing & Validation
Making AI safe to run unattended.
Hallucination Prevention.
Why prompts hallucinate. Grounding techniques. The "grateful constraint" for missing data.
Validation Architecture.
Prompt validation vs output validation. Worker vs supervisor models. Validation loops that don't double costs.
Disambiguation.
Categorical outcomes vs binary questions. Categories that leave no edge cases.
Homework:
Add validation to your prompt. Run 20+ test cases. Document failure modes.
Week 3: Production Debugging
Shipping systems that don't break.
Debugging Failures.
Prompt vs model vs data - systematic diagnosis. Reading behavior through justification fields. Cost/quality tradeoffs.
The Complete Stack.
Input → grounding → output schema → justification → validation. Monitoring in production. When deterministic beats agentic.
Final Workshop.
Present your transformation. Group feedback.
Deliverable:
Production-ready prompt with validation, tested across 20+ cases.
What You Get
- Sellestial Prompt Templates. Production prompts for generate, extract, classify, execute.
- Validation Library. Ready-to-use prompt and output validators.
- Guardrailing Checklist. Pre-deployment review framework.
- Your Own System. One fully engineered prompt with validation, tested.
Prerequisites
This is not a fundamentals course.
- Build AI workflows as part of regular work
- Comfortable with JSON and basic data structures
- Have LLM API access (OpenAI, Anthropic, or Google)
- Have a real workflow you want to improve
Who Should Attend
- AI practitioners at HubSpot Solution Partners
- Technical RevOps building custom workflows
- Developers integrating LLMs into GTM systems
- Anyone whose AI needs to run without babysitting
Instructor
Nejc Škoberne, PhD
Co-Founder & CEO, Sellestial
Production AI for GTM since 2022. These techniques come directly from Sellestial's platform – processing CRM data at scale with <1% error rates.
CS PhD · 12+ years B2B Ops
What Participants Say
"I really enjoyed the Sellestial AI workshop and learned new things that I can apply to my RevOps practice. The course was well-structured and technical enough for someone with existing AI experience, which I appreciated, and thus, the practical insights were immediately valuable. Thanks to Nejc and the team for putting together such a quality learning experience!"
Daniel Secareanu
HubSpot Consultant and Certified Revenue Architect
Co-Founder, RevTech Agency
Enroll
January 2026 Cohort
Wednesdays: Jan 14, 21, 28
4–6 PM CET • 10 AM–12 PM EDT • 7–9 AM PDT
$599
20 spots · Full refund up to 7 days before · Certificate included
Questions
How is this different from a fundamentals course?
Fundamentals teaches what LLMs are. This teaches how to make them reliable. For practitioners who already build.
Will this work with my tools?
Yes. Principles, not tool tutorials. Works with n8n, Make, Clay, Python, anything.
How much time for homework?
2-3 hours between sessions. You're improving your own workflow, immediately applicable.
What if I miss a session?
Recordings within 24 hours. But live workshops matter, attend if you can.