Bernstein's answer

Bernstein is the only orchestrator that uses deterministic code for scheduling instead of an LLM. Every other multi-agent framework (CrewAI, AutoGen, LangGraph) burns tokens deciding what to assign where. Bernstein spends zero tokens on coordination - the Python scheduler makes auditable, reproducible decisions. It also isolates every agent in its own git worktree, so agents never stomp on each other's files.

WorkProcedures's answer:

Most SOP tools are either blank-template libraries (download a Word doc, spend days editing it) or generic AI wrappers (ChatGPT with a pretty UI). WorkProcedures sits between them: a curated library of 10,000+ real industry procedures across 35+ sectors grounds every AI generation, so the output uses the terminology, compliance language, and document structure that auditors, trainers, and regulators actually expect - not generic AI boilerplate. Combined with three output detail levels (Standard, Comprehensive, and audit-ready Enterprise with compliance callouts and per-step roles), it's designed for small-to-mid businesses that need ISO 9001, OSHA, or HIPAA-grade documentation without paying for a consultant.

Bernstein's answer

• No SDK to learn — works with CLI agents you already have (Claude Code, Codex, Gemini CLI)
• No vendor lock-in — mix models in the same run
  
• Verified output — janitor checks tests, lint, and types before merging
• Cost savings — contextual bandit router cuts costs ~23% by learning which cheap model handles which task type
  
• Reproducible — same inputs produce same scheduling decisions

WorkProcedures's answer:

1. Grounded in real procedures, not generic AI. Competitors like Scribe and Tango record screens; template sellers like Bizmanualz ship static Word documents that need substantial editing. WorkProcedures generates net-new SOPs that reference a library of real industry sources, so output reads like a practitioner wrote it rather than boilerplate.
2. Pricing that matches how small teams actually buy. Free tier with 3 SOPs on signup, pay-as-you-go credits from £14 per SOP for occasional use, or monthly/annual subscriptions when volume picks up. Most competitors force you into a subscription from day one, which doesn't fit teams that only need documentation occasionally.
3. Compliance tracking is built in, not a separate tool. The Team plan includes acknowledgement audit trails, sequential handbook training, assignment with due dates, and custom procedure library upload - so you don't need to bolt on Trainual or BambooHR just to prove training compliance during an audit.

Bernstein's answer

• Solo devs who want to run 6+ agents in parallel on a 10-ticket backlog
  
• Tech leads evaluating multi-agent workflows without committing to a vendor
  
• Teams that already use AI coding agents daily and want to parallelize their workflow

WorkProcedures's answer:

Operations managers, quality leads, HR teams, franchise operators, and consultants at small-to-mid businesses (roughly 10-200 employees) who need professional, audit-ready SOPs but don't have the time or budget for a consultant. Common verticals include medical and veterinary practices, hospitality operators, food safety, cleaning and janitorial services, manufacturing, engineering consultancies, and IT managed service providers. The through-line: they're typically documenting for an audit (ISO 9001, OSHA, HIPAA, state licensing) or standardising procedures across multiple locations and shifts.

Bernstein's answer

Named after Leonard Bernstein, the conductor. The idea came from trying to coordinate three AI coding agents on the same codebase and watching them destroy each other's work. The first version used an LLM to schedule the other LLMs - it was slow, expensive, and hallucinated priorities. Replacing it with deterministic Python was the breakthrough.

WorkProcedures's answer:

WorkProcedures started from watching small-business owners spend entire weekends trying to write SOPs from scratch for basic processes - forklift inspections, new-hire onboarding, patient intake - because the free templates they found online were too generic to use without hours of rewriting. At the same time, AI tools like ChatGPT produced text that sounded plausible but didn't match what a real auditor would expect to see. The idea was to combine the speed of AI with the grounding of a real procedure library, so a small business could get a first draft that's 80% there in under two minutes, then edit the last 20% to fit their specifics, instead of starting from a blank page or a generic template. The platform launched in early 2026 after several months spent curating a library of 10,000+ real industry procedures across 35+ sectors.

Bernstein's answer

• Python 3.12+ with asyncio
  
• Git worktrees for agent isolation
• LinUCB contextual bandits for model routing
• Textual for the TUI dashboard
  
• Hatchling for packaging

WorkProcedures's answer:

• Next.js (App Router) with TypeScript for the full-stack application
• MongoDB with vector search for semantic retrieval across our procedure corpus
• Frontier large language models with retrieval-augmented generation (RAG) for SOP generation
• Stripe for subscriptions, pay-as-you-go credits, and billing
• NextAuth (Auth.js) for authentication including OAuth and optional 2FA
• Tailwind CSS for the UI
• Resend for transactional email
• Vercel for deployment

Bernstein's answer

• Individual developers using it for personal projects
  
• Open-source maintainers orchestrating codebase-wide refactors
• Early-stage startups using it for overnight CI-fix automation

WorkProcedures's answer:

WorkProcedures launched in early 2026 and we don't publicly disclose individual customer names at this stage. The current user base spans small-to-mid businesses across these industries:

• Medical and healthcare practices
• Veterinary clinics
• Engineering consultancies
• Hospitality operators (hotels, coworking spaces)
• Cleaning and janitorial services
• Manufacturing and quality assurance teams
• IT managed service providers and MSPs