The Evolution of Agency Starts with the Feedback Loop
Deploying an agent is only the first step. ActsAsGeek turns every edge-case failure into a structured evaluation signal — so your agents don't just execute tasks, they evolve with them.
Works with the agents and tools you already ship with
Signals
Monitor alert
livesupport-agent health check failing — accuracy dropped 12% in 48h
Security finding
livepentest scan flagged prompt injection vulnerability (CVSS 7.2)
Cost anomaly
livetoken spend 3x baseline — agent stuck in retry loop
Agent Trace
Your agents explain what went wrong — and what they'll do differently next time.
I correlated the monitor alert, security finding, and cost anomaly into a single root cause. The inbox triaged priority, TaskFlow queued the fix with dependencies, and the workflow is shipping a targeted patch through your GitHub integration — no broad rollback needed.
Monitor data shows accuracy drop started after deploy #142 — two days ago.
Pentest finding and hallucination pattern both trace to a missing tool definition.
Cost spike is a symptom — the retry loop masks a prompt regression, not a billing issue.
Actions
Task created
TaskFlow generated remediation task with dependency chain
Workflow triggered
Security finding → prompt patch → integration PR → verify
Status updated
Public status page reflects incident and resolution ETA
Evolution cycle
Observe → Evaluate → Correct → Evolve
Monitor → Inbox → TaskFlow → Workflow → Integrate. Every cycle compounds.
How It Works
From static deployment to autonomous self-improvement
01
Observe
Uptime checks, security scans, cost signals, and integration events flow into a single inbox — one intelligence feed instead of six dashboards.
inbox.ingest([monitor.alert, pentest.finding, cost.anomaly, integration.event])02
Evaluate
Security findings get CVSS scores. Performance regressions get traced to root cause. Every signal is logged, correlated, and scored so you see blind spots before your agents hit them.
eval.score({ pentest: "CVSS 7.2", drift: "accuracy -12%", activity: "logged" })03
Correct
Findings auto-generate tasks with dependencies, trigger cross-module workflows, and ship fixes — from vulnerability to remediation PR without manual triage.
workflow.trigger(["taskflow.create", "pentest.remediate", "integration.pr"])04
Evolve
Cost forecasting spots budget drift. Status pages keep stakeholders informed. Integrations sync learnings back to your providers. Every cycle compounds into sharper, more autonomous agents.
agent.evolve({ costs: "optimized", status: "published", integrations: "synced" })Why we're building this
You deploy an agent. It works — until it hits the messy reality of the wild. Hallucinations creep in. Accuracy drifts. Edge cases pile up. You check uptime in one tab, costs in another, security in a third, tasks in a fourth. None of them talk to each other.
We're moving beyond static, one-and-done deployments. The real challenge isn't launching agents — it's keeping them from plateauing.
ActsAsGeek unifies monitoring, security scanning, cost intelligence, task management, and workflow orchestration into a single self-correcting engine. Every signal feeds the inbox. Every finding generates a task. Every workflow closes the loop through your integrations. The result: agents that don't just execute — they evolve with every cycle.