Welcome to ActsAsGeek
Deploying an agent is only the first step. ActsAsGeek turns every edge-case failure into a structured evaluation signal — so your AI systems don't just execute tasks, they self-correct, adapt, and evolve autonomously.
The Problem: Agents Plateau After Deployment
You deploy an agent. It works — until it hits messy reality. 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 — and none of them talk to each other.
The real challenge isn't launching agents — it's keeping them from plateauing. Without a feedback loop that connects monitoring signals to corrective action, every deployed agent is stuck at the level it shipped at.
The Solution: A Self-Correcting Feedback Loop
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.
Monitor alerts, pentest findings, cost anomalies, and integration events flow into one prioritized Inbox.
Security findings get CVSS scores. Performance issues get root cause tracing. Every signal is scored and ranked.
Auto-generate tasks with dependencies. Trigger workflows. Ship fixes without manual triage.
Cost forecasting optimizes spend. Status pages keep stakeholders informed. Integrations sync learnings back.
Monitor → Inbox → TaskFlow → Workflow → Integrate. Every cycle compounds. The result is agents that get better with every iteration, not agents that stagnate.
Platform Modules
5-minute health checks with smart retry logic, instant email alerts, public status pages, and response time tracking. The observation layer of your feedback loop.
- Deep Ping database-aware checks
- Public status pages with custom branding
- Signed healthchecks with Deep Ping
Paste a PRD, feature spec, or rough notes. AI breaks it into tasks with dependencies, complexity scores, and time estimates. The correction engine that turns signals into action.
- PRD-to-tasks in seconds
- Dependency detection and visualization
- GitHub integration
Track LLM spend per provider and model. Set budget thresholds with alerts at 50%, 80%, and 100%. Forecast costs so you can optimize before you overspend.
- OpenAI, Anthropic, Google AI tracking
- Feature-level cost attribution
- Budget alerts and forecasting
AI-powered security scanning against OWASP Top 10. Findings are scored with CVSS and automatically generate remediation tasks in TaskFlow — closing the loop between detection and fix.
- Automated vulnerability scanning
- CVSS scoring with compliance mapping
- Auto-remediation task creation
Track attention across all your projects. See which are hot, cooling, or cold. Context rehydration notes let you pick up exactly where you left off.
- Temperature-based project health
- "Where I left off" context notes
- Triage view for neglected projects
Every signal from every module flows into one prioritized inbox. Assign autonomous AI agents to investigate incidents, draft remediations, or create GitHub issues — without lifting a finger.
- Unified event stream across modules
- Specialized AI agents per domain
- Agent execution with audit trail
Who Is This For?
ActsAsGeek is built for builders who ship AI-powered products and need operational intelligence that keeps up:
- Founders running multiple projects who need a single pane of glass across uptime, costs, security, and tasks
- AI-native developers building with LLMs who need cost visibility and spend forecasting across providers
- Small teams (2-5 people) who want the feedback loop of a platform team without hiring one
- Portfolio operators managing several deployed agents or products simultaneously
Ready to Get Started?
Set up your first feedback loop in about 5 minutes. Create a project, add a monitor, and watch signals start flowing into your Inbox.