
Why AI-native delivery needs a shared Ground Truth
Agile's rituals existed to manage a problem that's gone: building was slow and expensive, so teams shortened the loop to avoid wasting weeks on the wrong thing.
How our whole team thinks about building software with human judgment and AI-native execution: Ground Truth, agentic systems, evaluation, and the practices that get products into production.
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Agile's rituals existed to manage a problem that's gone: building was slow and expensive, so teams shortened the loop to avoid wasting weeks on the wrong thing.
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Short definitions of the ideas that come up across our articles.
A delivery model where human experts and specialized AI agents work from the same validated source of truth. AI agents handle parallelizable execution while people stay accountable for ambiguity, architecture, tradeoffs, and production acceptance.
Ground Truth is Rootstrap’s knowledge base. It captures business intent, decisions, and technical knowledge in one connected place so people and AI agents can build and verify against it.
Rootshift is Rootstrap’s proprietary AI-native delivery system. It combines Ground Truth with multi-agent orchestration, delivery methodology, and verification practices to plan, build, test, and ship software.
People decide on ambiguity, architecture, tradeoffs and risk, and production acceptance. Agents can move work faster, but the decisions that determine whether the work is right still belong to people.
Tell us what you’re building. Bring AI into production with a team that ships.