Resilient Sandbox Environment

Interactive AI Agent Sandboxes

Explore live, production-grade deployments of specialized AI agents. Choose a sandbox below to trigger real-time workflows, view agent thought logs, and analyze execution patterns.

Orchestration Decision Tree

How our sandboxed agents decide between automated execution and human-in-the-loop escalation.

Trigger Input Ingestion
Path A: Automated Loop
check_circle

Deterministic Tool Trigger

Checks inputs against schema, calls local vector databases, and fires API webhooks automatically.

Path B: Escalation Loop
gavel

Guardrail Flag Exception

Catches validation failures, halts loop processes, and alerts human supervisors on Slack.

Performance Telemetry

Live Speed Benchmarks

We prioritize sub-second inference latency to prevent drop-offs on live platforms like WhatsApp. Compare response delivery speeds across runtimes.

Groq Pipeline < 340ms
Average API Latency 1,250ms
terminal Active
crm_leads_log ● ACTIVE SYNC
Rahul Sharma Score: 88
Vikram Malhotra Score: 42
Priya Nair Score: 95

01 · Lead Qualification CRM Agent

Simulates inbound lead capture. Watch the agent enrich profiles, check CRM records, calculate scores, and write rows in real-time.

Core Model: Gemini 1.5 Pro
Actions: Enrichment + MySQL Sync
Launch Sandbox →
query_stats Active
bi_sql_compiler ● QUERY_OK
SELECT MONTH(created_at), SUM(revenue) FROM orders;

02 · Conversational BI Analyst

Ask natural questions of business datasets. The agent compiles SQL queries, runs them, and plots beautiful Chart.js visualizations.

Core Model: Deepseek-R1 + SQL
Actions: SQLGen + Render Chart
Launch Sandbox →
psychology Active
support_ticket_feed ● RAG_MATCH
Q: "What is your refund SLA window?"
→ Reference: SLA_Policy_v4.pdf Auto-Replied

03 · Customer Support Agent

Simulates ticket ingestion. The agent references private policy datasets to auto-approve refunds or create L2 support tickets.

Core Model: Gemini 1.5 Flash
Actions: Policy Retrieval + Refund
Launch Sandbox →
hub Active
swarm_writer_coordinator ● COMPILE_RUN
Planner
→
Researcher
→
SEO Compiler
Compiled: "Best Web Developers in Delhi NCR..."

04 · Content & SEO Swarm

Trigger a multi-agent writing swarm. Watch a planner draft structures, an SEO agent target keywords, and a compiler write articles.

Core Model: Claude 3.5 Sonnet
Actions: Collaborative Swarm
Launch Sandbox →
translate Active
webhook_router_ingress ● DISPATCHED
INBOUND: checkout.session.completed
MySQL DB
Slack Node
WhatsApp

05 · Webhook Automation Router

Simulate incoming webhook events (checkout paid, calendar booked) and watch the agent dispatch automated integrations.

Core Model: Express / Node.js
Actions: Intelligent Event Routing
Launch Sandbox →

Real-Time Performance Telemetry

Active Sandboxes

5 / 5

Avg Node Latency

42ms

Memory Sandbox Limit

512MB

Isolation Sandbox Uptime

99.9%

Telemetry Tech Stack

Our sandbox environments simulate actual production runs using modern API frameworks and containerization layers.

Node.js Express

SSE client logs

MySQL Mock DB

Vercel V3 runtime

Sandbox Rules & Usage

To ensure fair usage of our live LLM endpoints, the following bounds are active on all sandboxes:

How to Decode Agent Logs

Thought Steps

The internal reasoning steps where the agent parses the user inquiry and decides which criteria checks or database queries to run.

Tool Calls

Telemetry showing the precise API endpoint arguments passed to external platforms or target database connector queries.

Result Outputs

The qualified state outputs, final database row IDs, or WhatsApp confirmation dispatch status payloads.

Model Latency Breakdown

LLM Model Runtime Time to First Token Total Latency Optimal Workflow Fit
Llama-3-70b (via Groq) 12ms 0.8s Fast Criteria check & qualification
Gemini-1.5-Flash (via Google) 35ms 1.2s Large document PDF RAG loaders

Sandbox Security Sandbox

Isolated gVisor Container Environment

To guarantee safety, all sandbox code executes inside secure, isolated gVisor container environments. The agent has zero access to actual production databases or network routes outside its isolated mock parameters.

Request a Custom Mock Sandbox

Want to see a simulation wired to your specific company CRM or document format? We can configure custom sandbox profiles for you.

Request Custom Sandbox Build

Sandbox FAQs

Are the reasoning logs simulated or live?

They are live! When you submit the sandbox form, our backend service runs real LLM pipelines, generates actions, writes rows to database tables, and streams raw text steps back in real-time.

Why do some sandboxes run faster than others?

Speed depends on the model selected. Groq Llama runs are highly optimized for fast JSON parsing, while multi-agent swarms using Sonnet or Flash require multiple sequential model steps to compile outline drafts.

bolt 🎯 Limited Slots — Only 3 Spots Left | Closing: --:--:-- Book Now → close
WhatsApp call Call Us
smart_toy AI Assistant
smart_toy
smart_toy

Hitender AI Assistant

Groq Llama 3.3 70B Active

lock_open

Start 1-on-1 AI Strategy Session

Please introduce yourself to unlock your interactive session with our Autonomous AI Assistant.

🔒 Instant 1-on-1 chat · Encrypted lead log