HumanFirst
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About
HumanFirst serves as a specialized system of record for the artifacts that govern and align AI behavior across an organization's ecosystem. Unlike standard chat interfaces or code-heavy frameworks, it provides an upstream control layer where teams can package cognitive logic, modular instructions, and curated context before runtime. This approach allows for more predictable performance across various agents, apps, and systems, effectively moving away from runtime improvisation toward a more engineered and deterministic approach to artificial intelligence deployment. By centralizing the logic that drives AI, organizations ensure consistency across all touchpoints. The platform works by combining three critical pillars: data engineering, prompt engineering, and context engineering into a unified working surface. Users can brainstorm against source data, test different workflow structures, and recycle previously built artifacts to maintain a high creative throughput. A key feature is the pipeline transformation capability, which allows organizations to run prepared behaviors across unlimited inputs in parallel. Each iteration is logged with full lineage, capturing every refinement, constraint, and example to build a durable operational memory that compounds judgment over time rather than losing valuable insights in ephemeral chat histories. Designed primarily for enterprise environments, HumanFirst is ideal for teams where domain experts need to be closely involved in the AI development loop. It is particularly valuable for roles such as AI enablement specialists, automation engineering managers, and customer experience leads who want to separate developer-owned logic from business-owned customization. Common use cases include optimizing contact center transformations, generating knowledge base articles from conversation data, and building personalized AI features that adapt based on specific user contexts without requiring manual code rewrites for every new permutation or customer segment. What distinguishes HumanFirst from other tools in the generative AI space is its model-agnostic philosophy and rigorous focus on interoperability. It supports integration with major LLM providers including OpenAI, Anthropic, Cohere, and Google Gemini, ensuring that organizations are not locked into a single ecosystem. Furthermore, its ability to export artifacts as markdown files or agent skills, coupled with invocation via API or Model Context Protocol, allows it to act as a flexible behavior backend. This technical flexibility is supported by enterprise-grade security standards, including SOC 2 Type II certification and optional on-premise deployment.
Pros & Cons
Supports a wide variety of LLM providers including OpenAI, Anthropic, and Cohere.
Offers SOC 2 Type II certification and optional on-premise deployment for high security.
Maintains full lineage and operational memory of all AI behavior transformations.
Accelerates contact center transformations by up to 90 percent according to case studies.
Enables non-technical domain experts to manage AI behavior without developer bottlenecks.
Currently requires joining a waitlist for individual user access.
Pricing and full platform access are only available via booking a demo.
The complex feature set is primarily optimized for enterprise-scale projects.
Use Cases
Automation Engineering Managers can empower non-technical teams to iterate on conversation data and improve chatbot containment rates.
AI Enablement Specialists can extract automated insights from manual reviews and build custom prompts for specific business needs.
Customer Experience teams can analyze unstructured conversation data to generate knowledge articles and identify product insights at scale.
Developers can deliver personalized AI features by defining core logic once and merging user-specific context at runtime via API.
Platform
Features
• soc 2 type ii security
• operational memory logging
• multi-tenant personalization
• behavior backend api/mcp
• human-in-the-loop iteration
• deterministic pipeline transformations
• model-agnostic integration
• system of record for ai artifacts
FAQs
Which LLM providers are compatible with HumanFirst?
HumanFirst is model-agnostic and supports major providers including OpenAI, Anthropic, Cohere, and Google Gemini. This ensures organizations can switch models or use multiple models simultaneously without losing their engineered behaviors.
Can HumanFirst be deployed on-site?
Yes, while the platform is available as a cloud service, it also offers optional on-premise deployment for enterprises with strict data residency and security requirements. This is part of its commitment to being a work-safe and secure infrastructure.
How does HumanFirst handle team collaboration?
The platform is designed to separate developer-owned logic from business-owned customization. This allow non-technical domain experts to iterate on AI behavior safely and quickly without needing constant engineering resources or manual code rewrites.
What is the benefit of the pipeline transformation feature?
Pipeline transformations allow teams to run prepared behaviors across unlimited inputs in parallel. This enables at-scale data engineering and helps identify where AI behavior drifts, allowing for rapid corrections and refinements across large datasets.
How do I export or use the artifacts I create?
Artifacts can be exported as markdown files, agent skills, or plain text. Additionally, they can be invoked dynamically as a behavior backend through an API or the Model Context Protocol to drive agents and applications at runtime.
Pricing Plans
Enterprise
Unknown Price• SOC 2 Type II Certified
• Optional on-premise deployment
• Advanced user permissions
• SSO & SAML
• Multi-tenant personalization
• Behavior backend API/MCP
Job Opportunities
Lead Senior Frontend Engineer
Control and align AI behavior across agents and apps using a centralized system of record for cognitive logic, domain expertise, and deterministic artifacts.
Benefits:
Competitive compensation
Employee Stock
Medical, dental, vision and supplementary benefits
Remote-first environment with flexible working hours
Growth potential
Experience Requirements:
5+ years of experience in a similar position
Experienced with remote work
Other Requirements:
Mastery of Typescript, HTML & CSS
Solid understanding of the React ecosystem
UI/UX acumen
Strong English communication
Based in Canada
Responsibilities:
Integrating components with the application core business logic
Implementing React-query based API consumers & managing server state caching logic
Improving the developer experience
Updating existing components & integration of new components
Collaborate with the entire development team
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