Cognitive Intelligence Layer
17 agents, 7 sprints, 23 MCP tools built — zero lines of code changed
Analyse session data to identify friction points, then auto-generate focused agents to eliminate each gap — 7 agents from 189 sessions.
Teams don't know where their AI-assisted workflows are losing time. Friction hides in repeated manual steps — project discovery, git operations, build debugging, status checking — that consume sessions without producing value. 189 sessions revealed 5-8 hours wasted per week just figuring out where things are.
AgentFlow's insights analysis identified quantified friction points across 189 sessions, then systematic agent creation eliminated each gap: a Project State Scout replacing 10-15 minutes of discovery per session, a Git Station Master handling 26 sessions worth of mechanical git work, a Build Doctor for 21 broken-build sessions, an Intake Agent for file-drop issue creation, and a Content Production Agent — 7 focused agents replacing what teams thought needed a single super-agent.
Quantified friction analysis across all sessions
Focused agents for each identified gap — not one monolithic agent
File-drop triggers for seamless hands-off execution
Full 13-station API pipeline: PRD to CI/CD-ready in 1.5-3 hours unattended
Book a workflow sprint to scope the approvals, triggers, and deployment model for this kind of rollout.