Sherpa-B
Closed BetaGuided Workflows for AI Agent Development
Sherpa-B provides structured, step-by-step workflows that guide teams through the entire AI agent lifecycle - from ideation to production. Built on the Sherpa framework, it delivers expert methodology through conversational AI guidance that adapts to your context.
Transform AI agent development from trial-and-error to systematic innovation
Building AI Agents Shouldn't Feel Like Guesswork
Building AI agents is complex, unstructured, and often overwhelming. Teams waste weeks on trial-and-error, struggle with where to start, and lack systematic approaches to move from concept to deployment.
Trial-and-Error Iteration
Without systematic approaches, teams reinvent the wheel for ideation, evaluation, and deployment strategies
Overwhelming Documentation
No clear starting point - teams struggle to navigate massive docs and tutorials
Unclear Problem Framing
Solutions searching for problems - missing critical user research and assumption validation
Risky Deployments
Without proper evaluation strategies and architecture decisions, production rollouts become high-risk gambles
What if you had a knowledgeable guide for every stage?
Guided Pathways for AI Innovation
Sherpa-B delivers 10 core workflows covering the complete development lifecycle through an MCP (Model Context Protocol) server that integrates with AI assistants like Claude Code.
The Experience
Work conversationally - request a workflow, receive step-by-step guidance, and produce concrete artifacts like problem documents, evaluation datasets, architecture specs, and demo scripts.
Key Innovation: Progressive Disclosure
Rather than overwhelming teams with massive documentation, Sherpa-B serves prompts and context just-in-time, exactly when needed. The AI assistant becomes a knowledgeable coach, guiding teams through proven methodologies while adapting to their specific context.
Workflows as Executable Knowledge
Unlike static playbooks, Sherpa-B workflows are dynamic, interactive experiences that respond to user input, challenge assumptions, and generate tailored artifacts. Each workflow embeds conceptual frameworks - teaching problem decomposition, assumption validation, and systems thinking that build transferable skills.
10 Core Workflows
Complete lifecycle coverage from ideation to deployment:
Ideation & Problem Framing
Define what to build and why
Evaluation Dataset Design
Create test cases before writing code
Workflow Translation
Convert ideas to structured processes
User Research
Understand real user needs and constraints
Context Management
Organize information for AI agents
Architecture Design
Structure your solution systematically
User Experience Design
Craft intuitive agent interactions
Evaluation at Scale
Test rigorously across scenarios
Deployment Strategy
Plan production rollout
Demo Preparation
Communicate your solution effectively
Building Transferable Skills: Each workflow embeds conceptual frameworks - teaching problem decomposition, assumption validation, and systems thinking that go beyond task completion.
Built for Teams at Every Stage
Corporate Innovation Teams
- Reduce 8-12 week development cycles by 40-60%
- Validate assumptions before heavy investment
- Scale expertise across teams regardless of AI maturity
- Bridge business and technical through strategic framing and execution guidance
Startup Incubators & Accelerators
- Fast-track cohort progress with proven roadmaps from day 1
- Ensure consistent quality through validated methodologies for ideation and evaluation
- Track measurable milestones through defined workflow stages
- Better demo preparation with dedicated narrative and presentation workflows
AI Consultants
- Productize your methodology into reusable workflows
- Scale practice across multiple client engagements simultaneously
- Enable client self-service with AI assistant guidance while you provide strategic oversight
- Protect intellectual property through secure workflow infrastructure
Educators & Bootcamps
- Teach AI development through hands-on guided practice
- Build conceptual depth with integrated learning frameworks
- Progressive complexity - workflows span from ideation (Week 1) to evaluation at scale (Week 8)
- Currently alpha testing in our AI/ML Bootcamp programs
Why Sherpa-B is Different
Not Another Framework
Doesn't compete with LangChain or AutoGen - guides what to build and how to design it, regardless of implementation tooling.
Human-in-the-Loop by Design
Workflows assume AI-human collaboration, not full automation - keeping human judgment at the center of decision-making.
Proven Methodology
Based on real agent development experience, refined through practice and currently alpha tested in live bootcamp cohorts.
Flexible Deployment
Cloud-hosted for teams or self-hosted for IP-sensitive work - deploy in the way that fits your organization's requirements.
Assistant-Agnostic
Works with Claude Code today, extensible to other AI assistants tomorrow - not locked into a single platform.
Built for Scale
Whether running a 20-person accelerator cohort or managing multiple client engagements - centralized server ensures everyone uses latest best practices.
Powered by Research-Backed Framework
Built on Sherpa, the open-source model-driven framework from Aggregate Intellect and McGill University. Sherpa-B extends the core library with workflow orchestration and guided development experiences delivered through a proprietary MCP server.
Open-Source Foundation
Sherpa's hierarchical state machines and policy-driven reasoning provide the agent framework
Proprietary Workflows
Sherpa-B adds structured guidance and best-practice methodologies for the complete development lifecycle
Join the Closed Beta
For Design Partners & Early Adopters
Sherpa-B is currently in closed beta, and we're seeking partnerships with organizations ready to systematize AI agent development:
We're Looking For
- Startup Accelerators & Incubators - Systematize your cohort development process
- Corporate Innovation Teams - Scale AI capabilities across your organization
- Consulting Firms - Productize your methodology and scale your practice
- Educational Institutions - Teach industry-standard AI development systematically
What We're Offering
- Early access to 10 production-ready workflows
- Collaborative feedback sessions to shape the product roadmap
- Flexible pricing discussions for organizational adopters
- Priority support during beta period
What We're Looking For: Organizations ready to systematize AI agent development and willing to share feedback on workflow effectiveness. Ideal partners have teams actively building AI agents or preparing to launch AI initiatives.