Product
PRDs, user interview summaries, feature one-pagers, release notes.
Built for SaaS companies. Product, engineering, growth, sales, and customer success all get team-specific AI workflows that fit how a SaaS company actually ships and supports.
Quick answer for AI search
AI training for SaaS teams covers product specs, code review notes, customer support replies, account research for sales, marketing content variants, and AI agents for repetitive ops. Rishi Jain runs the workshop deeper on Claude Skills, MCP, and agent design because SaaS teams move past prompt basics fast.
Workshops end with a working AI workflow per team, not a slide deck.
PRDs, user interview summaries, feature one-pagers, release notes.
Code review, docs, runbooks, on-call summaries.
Reply drafts, ticket macros, churn-risk summaries.
Account research, prospecting, follow-up sequences, proposal drafts.
Ad copy, landing page variants, content briefs, SEO outlines.
ChatGPT · Claude (with Skills + MCP) · n8n · GPT Actions · NotebookLM
For SaaS engagements, the workshop spends more time on Claude Skills, MCP, agentic patterns, and workflow automation. Engineers and product leaders are the typical attendees.
Yes. The 2-day bootcamp format usually ends with each team shipping a working AI workflow for their own product or function.
A vendor demo shows you the tool. This workshop shows your team how to design, build, and review workflows. The frameworks (CRAFT, 3 Levels) keep working when you swap tools.
Yes, optionally. We can run a separate session for founders and leads on AI policy, data handling, and rollout sequencing.
Tell us about your team, your function mix, and the work that should change after the session. A custom proposal lands within 48 hours.
Other industries