Command Center
See what your AI agents are doing. Fix what needs fixing.
5 agents active — real-time task tracking, fleet-wide status, and one-click intervention
Fleet Health Score
Composite fleet signal · compared vs last 7 days
Composite 0–100 score, weighted blend over the fleet's execution traces: Task Success (40%) — proportion of complete vs error/warning/pending traces; Avg Exec Time (20%) — fleet-average gap between consecutive trace timestamps (≤30s = 100, ≥300s = 0); Error Rate (25%) — inverse of error-trace share (0% errors = 100, ≥15% = 0); Cost per Task (15%) — mock estimate derived from agent-logged stats vs a fixed ceiling of $0.42/task.
57
Watch
↓
-21 vs last 7 days
Score blends task success, exec time, error rate, and cost-per-task across all 5 agents.
Task Success
80%
sub-score 80 / 100
Avg Exec Time
812s
sub-score 0 / 100
Error Rate
4.3%
sub-score 71 / 100
Cost / Task
$0.26
sub-score 47 / 100
Execution Traces
Watch agents think. Step through every decision.
Trace the full chain of reasoning from input to action.
Performance Metrics
Open rates, reply rates, wedge signals. All live.
Know what's working before the day ends.
Agent Management
Five agents, one screen. Pause, resume, override.
Full control without leaving the dashboard.
ROI Attribution
Fleet total this week —
94h saved ·
847 tasks ·
~$6,200 saved
Hermes
Time Saved
22h
Tasks Done
284
~$1,540 saved this week
Time saved × $70/hr blended rate. Tasks completed = agent-logged actions. Dollar attribution is an estimate based on mock data.
Kairos
Time Saved
18h
Tasks Done
163
~$1,260 saved this week
Time saved × $70/hr blended rate. Tasks completed = agent-logged actions. Dollar attribution is an estimate based on mock data.
Soteria
Time Saved
12h
Tasks Done
112
~$840 saved this week
Time saved × $70/hr blended rate. Tasks completed = agent-logged actions. Dollar attribution is an estimate based on mock data.
Hestia
Time Saved
28h
Tasks Done
203
~$1,960 saved this week
Time saved × $70/hr blended rate. Tasks completed = agent-logged actions. Dollar attribution is an estimate based on mock data.
Persephone
Time Saved
14h
Tasks Done
85
~$980 saved this week
Time saved × $70/hr blended rate. Tasks completed = agent-logged actions. Dollar attribution is an estimate based on mock data.
Fleet Analytics
Cross-agent aggregate · 847 tasks run · 69.1% success · $7.77/task avg
Cross-agent aggregate derived from each agent's execution traces and ROI inputs: Total Tasks Run = sum of Tasks Completed across all agents; Success Rate = task-volume-weighted average of per-agent complete / (complete + error + warning + pending); Avg Cost per Task = sum of per-agent dollar values divided by Total Tasks Run (falls back to $0.18 if any value fails to parse, sitting within the $0.08 floor / $0.42 ceiling band used in the Fleet Health widget); Errors Today = count of error-status traces across the fleet; Top / Bottom Performers = top-2 and bottom-2 agents ranked by Tasks Completed. All figures derive from mock data for the live dashboard prototype.
Total Tasks Run
847
Success Rate
69.1%
Avg Cost / Task
$7.77
Errors Today
1
Live Fleet Alerts
Up to 10 most recent unacknowledged signals across all agents
Model Benchmarking
Cost vs. quality · side-by-side comparison across foundation models
| Model | Cost / 1K tokens | MMLU | Task Success | Latency |
|---|---|---|---|---|
|
GPT-4o
OpenAI
|
$0.0050 | 88.7 | 91.2% | 420 ms |
|
Claude 3.5 Sonnet
Anthropic
|
$0.0030 | 90.8 | 93.4% | 610 ms |
|
Gemini 2.0 Flash
Optimal
Google
|
$0.0007 | 84.1 | 87.6% | 280 ms |
Cost ($ / 1K tokens) vs. Quality (MMLU)
Automated Eval Quality Gates
Pre-deploy safety net · every agent change passes five automated gates before it reaches production.
Illustrative mock data for the live dashboard prototype. Gates shown: Smoke Test, Regression Suite, Cost Ceiling, Compliance & Brand-Safety, and Red-Team / Adversarial. Vendor comparison honest delineation of scope — Langfuse and Arize lead on tracing observability, Relevance AI on dataset curation, Polsia differentiates on gating-as-a-first-class-deploy-step.
Automated eval gates are the contract between an agent change and your live outbound. Without them, you ship blind — and one regression in copy generation or compliance matching can poison a week of pipeline at scale. Polsia runs every proposed change through five gates, blocking deploy when any one falls below threshold.
Smoke Test
100% schema match · 500 tasks
2 min ago
Regression Suite
≥ 98% task-level parity
4 min ago
Cost Ceiling
p95 ≤ $0.42 / task
6 min ago
Compliance & Brand-Safety
0 hard flags · brand score ≥ 90
8 min ago
Red-Team / Adversarial
0 successful exfils · ≤ 2 partial leaks
11 min ago
| Area | Langfuse | Arize | Relevance AI | RelevanceOS |
|---|---|---|---|---|
| Tracing & observability | Strong | Strong | Partial | In scope (via Fleet Health + execution traces) |
| Dataset curation | Partial | Partial | Strong | In scope (golden-task regression suite) |
| Pre-deploy gating | Out of scope | Out of scope | Out of scope | First-class deploy step |
Pricing
Run the loop. Own the wedge.
Start free. Upgrade when your agents start booking meetings.
Growth
$499
/ month — billed monthly
For lean GTM teams shipping their first AI-run outbound loop.
- 3 active agents (Hermes, Kairos, Soteria)
- Up to 10,000 outbound messages / month
- 500 LinkedIn touches / month
- Execution traces & activity log
- Wedge discovery reports
- Email support
Most Popular
Full Fleet
$1,499
/ month — billed monthly
For teams who want the full five-agent loop running 24/7 — from discovery to onboarding.
- All 5 agents — full fleet active
- 100,000 outbound messages / month
- 1,500 LinkedIn touches / month
- Live execution traces + intervention controls
- Real-time alert signals & fleet-wide status
- CRM sync (HubSpot, Apollo, Clearbit)
- Priority support + onboarding call
14-day free trial — no credit card required. Cancel any time.