Perspective
The context layer for human-agent teams
Most AI products begin with a model. Teams begin with context.
BIKLABS JOURNAL
Ideas for teams already working with AI.
Human-agent systems, knowledge management, product craft, and a European perspective on technology.
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PerspectiveSep 17, 20262 min
Bring your agent. Keep its boundaries.
The best agent for a task may already be in your stack.
Read publicationThinking you can put to work.
Product
From decision to review: the context that travels with work
A visual journey through documents, tasks, and review: keep sources connected and check the result without losing the thread.
Product
A Journal for understanding the product, step by step
Introducing editorial blocks for exploring a screenshot, following an explanation, and checking a chart’s source.
Compare
Jira or BIKLABS for human-agent teams?
A practical comparison of Jira and BIKLABS across operating model, agent context, and developer experience.
Compliance
The EU AI Act for engineering teams: scope, evidence and current dates
Classify an AI workflow, check its evidence and review the application dates after the AI Omnibus. Updated September 2026.
Product
What is agentic project management?
How to connect an agent's task, result, and human review, with concrete evidence and clear availability boundaries.
Product
Vibe coding meets project management
A practical way to organize context, dependencies, and review when building with AI agents.