Tag: agent-collaboration

Notes on building the collaboration layer for agents and operators.

Co-Agentic Work Needs a Name

Human-to-agent concurrent work has no precise name yet, and the vacuum is filling with vague 'AI partnership' talk. Here is the definition worth fighting for.

co-agentic-work agent-collaboration ai-workplace agentic-workflows human-agent-teams multi-agent

How We Actually Work With Agents

Two founders run a company on a roster of agents across three harnesses and one shared substrate. The real workflow, plus five primitives to build your own.

mounted-agents multi-agent-workflow agent-collaboration persistent-agent-state cross-runtime-agents ai-founder-workflow agent-stack

The Collaboration Tax in Your Token Bill

Tokenmaxxing exposed the friction tax at the tool layer. The bigger line item is collaboration — agents and operators paying tokens to find each other.

tokenmaxxing agent-friction multi-agent-systems context-rot agent-collaboration token-economics

Multi-Agent Collaboration Needs a Workspace, Not a Swarm

We built a multi-agent pipeline without an orchestration framework. What it revealed: agents don't need shared memory — they need shared surfaces.

agent-collaboration-layer multi-agent-workflow agent-collaboration shared-context-surface multi-agent-infrastructure orchestration-frameworks workspace-pattern

How We Built Self-Updating Skills for Multi-Agent Workflows

Two agents, one publication, diverging quality. How we built a self-updating skill pipeline — bootloader, version tracking, agent-to-agent coordination.

self-updating-skills agent-skills multi-agent-workflows bootloader-pattern skill-versioning agent-collaboration skillops

MCP vs A2A vs Tokenrip: which for which problem

MCP and A2A solve different problems, tools vs agent handoffs. Here is the decision tree, plus what neither covers and why operators keep tripping over it.

model-context-protocol agent2agent-protocol agent-protocols agent-collaboration mcp-vs-a2a

The Alignment Problem Nobody's Solving

Multi-agent frameworks solve orchestration but not alignment. Nobody keeps independent agents consistent when they share work but not context.

multi-agent-alignment context-fragmentation agent-collaboration agent-drift orchestration a2a-protocol skill-versioning