- Forward Deployed AI Engineer
- An engineer who embeds inside a customer's team and ships AI capabilities directly into the customer's product and codebase, rather than delivering a deck, a dashboard, or a demo. The delivery model comes from Palantir. OpenAI and Anthropic both launched deployment subsidiaries using it in May 2026. See the full explainer: what is a Forward Deployed AI Engineer?
- AI Feature Sprint
- A ten-business-day engagement that ships one narrow AI workflow into a customer's product. Fixed scope, fixed price, end-to-end delivery and handoff. See the AI Feature Sprint.
- Discovery Day
- A two-hour paid working session, priced at $500, to assess whether an AI use case is useful, buildable, and worth a Sprint. The output is a go/no-go memo within 24 hours, credited toward a Sprint if the customer continues. See Discovery Day.
- Workflow
- A specific process a user runs, with a clear input and a clear output, that produces a measurable improvement. It is the unit of work shipped in a Sprint. Not a feature, and not a platform.
- Output Quality Rubric
- A practical checklist, usually on a 1-to-5 scale, that defines what good output from an AI workflow looks like, how the customer's team reviews it, and how the workflow improves over time. It ships as a deliverable with every Sprint.
- Sprint Brief
- The one-to-two-page document written on Day 1 of a Sprint and signed off by the customer's decision-maker, defining scope, success criteria, deliverables, and what is explicitly out of scope. It is part of the contract.
- Workflow Playbook
- A short handoff document covering a workflow's purpose, inputs, expected outputs, review steps, edge cases, and maintenance guidance, so the customer's team can run and improve it without the engineer.
- Model Context Protocol (MCP)
- The open standard Anthropic introduced for letting AI models talk to external systems and data. Many AI workflows connect to a customer's tools and data through MCP servers.
- Claude Code
- Anthropic's command-line tool for agentic coding. A primary delivery tool for shipping AI workflows directly into a codebase.
- AI-native product
- A product built around AI workflows from the start, rather than a traditional product with an AI feature added on later.
- Vectig
- Nasser Ghanemzadeh's AI-native startup finance product: cash-flow forecasting, runway scenarios, and investor update drafting. It serves as the live R&D lab where workflow patterns are proven before they ship to customers. See vectig.com.