—
Calls Logged
live · from app
—
Replies
live · from app
—
Revenue Potential
live · from app
—
Total Leads
live · from app
Live Agent Activity
Agent Swarm Graph
Telemetry Active
ORCH
PRI
SEC
SBX
MEM
Core Memory
73%
Conv. Buffer
41%
Long-term Mem
88%
Recent Calls
| Caller | Time | Duration | Outcome | Sentiment |
|---|
Channel Health
Voice / Phone
1,247 calls today
WhatsApp
834 messages
Email
456 processed
Telegram
Active
Web Widget
310 sessions
Call Center
Monitor and manage all inbound call handling
2,847
Total Calls
96.2%
Answer Rate
1m 42s
Avg Duration
183
Booked
Call Log
| ID | Caller | Number | Time | Duration | Outcome | Sentiment | Action |
|---|
Active Call Simulation
+1 (555) 847-2091
Incoming: Sarah Mitchell
+1 (555) 847-2091
00:01:24
Agent: Good afternoon! Thank you for calling. How can I help you today?
Customer: Hi, I'd like to book an appointment for next Tuesday…
Agent: Of course! I have availability at 10 AM and 2 PM on Tuesday. Which works best?
Customer: |
Appointments
All AI-booked appointments and calendar management
Upcoming Appointments
Mini Calendar
Booked
Available
Memory System
Three-tier memory architecture for persistent agent context
TIER 1
Core Memory
73% used
Persistent facts loaded into the system prompt. Never cleared.
TIER 2
Conversational Buffer
41% used
Short-term cache for active conversation context. Clears between sessions.
TIER 3
Semantic Long-term
88% used · 12,847 vectors
Vector database (Pinecone) for long-range recall across all past interactions.
Skills & Plugins
Modular capabilities installed on your CLAW agent
Communication Channels
Configure inbound and outbound integration channels
Email Command
Every address across your companies & apps — all routed to one inbox
Setting up:
hello@coalecentcreations.live
— Brevo sending domain registered. Add the DNS records + catch-all forwarding at Name.com to take it live.
Analytics
Performance metrics and business intelligence
Call Volume — Last 7 Days
Outcome Breakdown
Booked (64%)
Resolved (24%)
Transferred (8%)
Missed (4%)
Revenue Recovery
$284,713
Total revenue saved this month
↑ 31% vs last month
Missed call recovery$147,320
After-hours bookings$89,204
Upsell completions$48,189
Settings
Configure your Gravity CLAW agent
Agent Identity
Operational Hours
24/7 Mode
Agent handles calls around the clock
Voicemail Fallback
Record message if agent unavailable
Human Escalation
Transfer complex calls to human staff
Call Recording
Record all calls for quality review
API Configuration
Claude Proxy
Expose Antigravity provided Claude & Gemini models to Claude Code CLI and OpenClaw
Proxy Connection
Offline
Server Endpoint:
http://localhost:8080Latency: —
Configuration Builder
Connection Mode
Use proxy endpoint vs paid credits
Generated Settings File
CLI Quick Integration
Add the proxy's server variables to your local shell configuration file (e.g. .zshrc or .bashrc) to direct standard tool commands through this proxy.
macOS / Linux Setup
export ANTHROPIC_BASE_URL="http://localhost:8080"
export ANTHROPIC_AUTH_TOKEN="test"Integration Status
💻
Claude CLI Connection
Awaiting proxy connection
🤖
OpenClaw Instance
Inactive
Starting CLI Agent
1. Make sure proxy is running: npx antigravity-claude-proxy start
2. Run Claude Code CLI: claude
BizReach Command
Lead Gen Engine · Coalescent Mind LLC · bizreach-command.bizreachpro.workers.dev
—
Businesses Found
—
Emails Sent
—
Replies
—
Revenue Potential
connecting… ·
Open local dev →
NETNAVI AGENTS — click to run
⚡ AntiGravity Route
Running
Leads Routed
—
Hot Buyers
—
Revenue Pot.
—
Connection Map
🧠
CLAW Memory → BizReach Contacts
Syncing lead context to vector DB
📞
CLAW Calls → Lead Qualification
Routing booked calls to CRM
⚡
AntiGravity → CLAW Pipeline
Cron: every 6h · Active
📧
Studio AI → CLAW Outreach
Email campaigns via agent
⚡ Autonomous Chron & Heartbeat
Active
Heartbeat Status:
Every 30s (Simulated 9 AM Check)
Next Briefing:
30s
Active Chron Jobs:
Lead Volume Monitor
OK (Tue 9am)
Enrichment Loop
OK (Hourly)
Operator Tuning Feedback (RL):
Last action suggestion:
NotebookLM Memory & NetNavi
Synchronize the neuro-mechanical agent control loop and speculative tiered reasoning brain
Synced
Sync Status
Digital (VLA)
Active Action Space
High
Reasoning Budget
15.2ms
Speculative Latency
POMDP Control Loop Status
Stopped
Agentic Tuple:
A = ⟨S, O, M, T, π⟩ (State, Observation, Memory, Tool, Policy)
Control Loop Dynamics: The perception function generates environmental observations, which are synthesized by the memory mechanism to continually update the long-horizon agent state.
Cognitive Model Config (AWS Trainium2 Speculative Engine)
Speculative Token Window:
7 tokens
Speculative Acceptance Rate:
76.4%
Inter-token Latency:
15.2 ms
NotebookLM Memory Tiering
📖
Episodic Memory (MemGPT Paging)
Active stream: 42 pages cached
📂
Semantic Memory (Hierarchical)
384 facts · material_g_constant=9.806m/s²
📜
Procedural Memory (Skill Library)
18 motor calibration scripts
CLASSic Evaluation Weights
Latency
25%
Tool Calling Accuracy
25%
Context Adherence
20%
Cost Efficiency
15%
Memory Integration
15%
CLASSic Governance Protocol
👁️
Self-Correction Loops (Reflexion)
Active · Max 3 retries
🛡️
MCP Governance & Allowlists
Strict governance · Auth enabled
🎛️
Meta-Cognitive Loop Supervisor
Monitoring loop activity
Multi-Agent Communication Topologies
Active Topology:
Chain Topology (Waterfall)
Framework Type:
MetaGPT / ChatDev
Conflict Resolution:
Sequential Rejection Loop
Sequential hand-offs with fixed Standard Operating Procedures (SOPs). Reduces error cascades in software agent swarms.
2026 Model Reference Matrix
| Model | Primary Strength | Hardware/Cost Profile |
|---|---|---|
| GPT-5.3-Codex | Superior agentic coherence; native "computer use" | Premium API Cost ($15-$60/1M) |
| Claude 4.7 Opus | Maintains state across 1M+ context; exceptional tool calls | High-Tier API ($5-$25/1M) |
| DeepSeek-V4 Pro | Optimized for math/code; 1M context; high reasoning density | Local (2x H100 GPU) |
| DeepSeek-V4 Flash | Ultra-low latency; high-speed parameter-value mapping | Local (1x H100 GPU) |
| Llama 4 Maverick | Native multimodality with 10M context window | Local Cluster (4x H100) |
| Gemini 3 Flash | Writes Python during reasoning; integrated in Vertex AI | Ultra-low API cost |
NetNavi Model Hub & CLASSic Engine
Speculative execution, hardware-optimized routing, and dashboard guardrails
🛡️ CLASSic Dials & Performance Metrics
Score: 84%
Cost Efficiency (15%)
80%
Latency Optimization (25%)
90%
Accuracy & Schema (25%)
85%
Security Shield (20%)
95%
Stability & pass@k (15%)
70%
⚡ NxDI Speculative Execution Simulator
2.8x Speedup
// NxDI Parallel Verification Sequence:
import
pandas
as
pd
...
Draft Model: Qwen3-1.7B (enable_fused_speculation=true)
Target Model: Qwen3-32B (System 1)
🧙 Model Router Recommendation Wizard
Recommended Model Route
Phi-4 (Edge / Local)
Permissive MIT/Apache license, running efficiently under 10GB VRAM with sub-second local latency.
Speculation Engine: Vanilla/Fused Speculation (enable_fused_speculation=true).
🔌 Standardized Connectivity Nodes
🐳
Ollama Adapter (Local Bridge)
Connected · Port 11434
🌐
OpenRouter Hub API
Connected · Latency: 210ms
🛠️
Hunter.io & SendGrid MCP Servers
Active · Strict Gov Allowlists