Every agent reads what came before it
Most AI tools start from scratch every time. 360 Sprint automatically compiles upstream analyses, your strategic DNA, and relevant insights into every agent — so the fifth agent in your workflow is dramatically smarter than the first.
The problem with AI that forgets
Most AI tools forget. You re-explain your business model, your market position, your competitive situation every time you start a new conversation.
In 360 Sprint, each agent in a workflow automatically inherits context from every upstream analysis. No re-briefing. No copy-pasting. Just compounding intelligence.
How it works
Five layers of structured context
Every agent prompt is assembled from five distinct context layers — each contributing a different dimension of strategic intelligence.
Strategic DNA
Your company identity, mission, and strategic priorities — compiled into a structured spine that every agent reads first.
Agent Expertise
Each agent receives its analytical framework and understands how it relates to other agents in the workflow.
Connected Intelligence
Upstream analyses flow downstream automatically — your Market Strategist reads what the Cartographer found.
Relevant Memory
Related insights surface from across your project, even from analyses not directly connected to the current agent.
Live Directives
Company-wide guidelines and session-specific priorities injected into every prompt in real-time.
= Agent Prompt
Up to 200K tokens of structured context, intelligently allocated — not dumped.
Intelligent context allocation
Up to 200K tokens of structured context, intelligently allocated — not dumped. Each context layer receives a proportional budget based on its relevance. When content exceeds its budget, it is truncated at sentence boundaries — never mid-thought.
Common questions
How the context window works and why it matters for your strategy work.
Token limits, cost, and quality. Unfocused context degrades AI output quality. Our budget allocator prioritizes the most relevant information so every token counts.
RAG retrieves text fragments by keyword similarity. Our system compiles structured, prioritized context with security filtering — it understands which upstream analysis is most relevant, not just which text matches.
Fields classified as RESTRICTED are filtered out before strategy-analysis data reaches an AI model. The Data Guardian detects and blocks PII patterns automatically.
Yes. The token budget adjusts proportionally based on each model's context window size — whether it is Claude with 200K tokens or GPT with 128K.
Compounding strategic intelligence.
Every analysis makes the next one smarter. See how connected context changes strategy work.
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