Agent MAX - World's Most Advanced AI Agent Engine

Agent MAX is currently in private beta. We’re rolling out access gradually to ensure reliability at scale.

Fire and Forget AI Agents

Agent MAX is not another chatbot. It’s an execution engine for Deep Work—complex tasks that take minutes (not seconds), require perfect accuracy, and must succeed without human intervention.

90% Cheaper

Smart context compression and model routing slash costs dramatically

Near-Zero Hallucination

Every action validated against real data. No fabricated parameters.

Self-Healing

Automatic error recovery. Retries from cache, not from scratch.

The Problem with AI Agents Today

Most AI agents fail at real work. They:

❌ Hallucinate

Make up data, call wrong functions, invent parameters

❌ Get Stuck

Loop forever, burn credits, never finish

❌ Lose Focus

Drift off-task during multi-step workflows

❌ Crash Silently

Die mid-task with no way to recover

Agent MAX was built to solve all of this.

What Makes Agent MAX Different

🧠 Live-Code Execution
🎯 11 Deep Work Features
⚡ Fire & Forget

This is the superpower.Traditional agents play telephone:

Agent → Tool Call → Wait → Result → Agent → Tool Call → Wait...

Agent MAX writes and executes code:

# Agent MAX writes this, runs it, gets results
customers_at_risk = [c for c in customers if c.churn_score > 0.7]
emails = [draft_email(c) for c in customers_at_risk[:10]]
send_batch(emails)
# Only the final result goes back to the model

Result: 30-40% fewer tokens. 10x faster. Parallel tool calls.

Learn more about Live-Code Execution

Deep dive into Agent MAX’s code execution architecture

Agent MAX includes 11 reliability features that ensure tasks complete:

Feature	What It Does
Anti-Hallucination	Validates every output against source data
Anti-Loop	Detects stuck states, terminates cleanly
Laser Focus	Maintains goal alignment across 20+ step tasks
Start to Finish	Verifies all steps complete before marking done
Precision Actions	Schema validation on every function call
Deep Memory™	90% context compression, 10x capacity
Safety Built In	Guardrails, error boundaries, auto-termination
Fast Retries	80% cheaper retries from cache
Self-Heal	Analyzes failures, tries alternative approaches
Adaptive Routing	Right model for each step (fast vs smart)
Agentic Reasoning	Chain-of-thought planning before execution

Explore all 11 features

Technical details on each capability

You provide inputs. Agent MAX handles everything else.

# For side effects (sending emails, updating CRM) - use run()
agent.run(
    goal="Analyze churn risk and send outreach emails",
    files=[open("customers.csv", "rb")],  # Real file objects
    tools=[crm_search, send_email]
)
# Come back in 5 minutes. Emails sent. CRM updated.

# For getting data back - use run_with_results()
result = agent.run_with_results(
    goal="Analyze churn risk and identify top 10 at-risk customers",
    files=[open("customers.csv", "rb")],
    result_structure={"type": "object", "properties": {...}}
)
print(result.output)  # Guaranteed structured data

No loops to write. No state to manage. No babysitting.

Quick Start

Early Access Required — The code examples below show what’s possible with Agent MAX. Join the waitlist to get access.

Get started in 30 seconds:

from incredible import AgentMax

agent = AgentMax(api_key="YOUR_API_KEY")

# Use run_with_results to get structured output back
result = agent.run_with_results(
    goal="Research top 3 competitors and summarize their pricing",
    tools=[web_search],
    result_structure={
        "type": "object",
        "properties": {
            "competitors": {"type": "array"},
            "summary": {"type": "string"}
        }
    }
)

print(result.output)  # Guaranteed to match your schema

Real-World Examples

🔍 Lead Research

Input: Company name
Output: Full research report with contacts, funding, tech stackRuns 15+ searches, cross-references data, validates accuracy

📊 Churn Analysis

Input: Customer CSV
Output: Risk scores + personalized outreach draftsProcesses thousands of rows, identifies patterns, drafts emails

📝 Contract Review

Input: PDF contract
Output: Risk assessment with specific clause referencesOCR → Analysis → Structured output guaranteed

🤖 Competitor Monitoring

Input: List of competitors
Output: Daily digest of changes, launches, newsScheduled runs, tracks changes over time

See all examples with code

Full code examples for each use case

Structured Output (Guaranteed)

Need JSON that matches a schema? Use run_with_results(). Guaranteed.

# Open the file properly
with open("meeting.mp3", "rb") as audio_file:
    result = agent.run_with_results(
        goal="Extract all action items from this meeting transcript",
        files=[audio_file],
        result_structure={
            "type": "object",
            "properties": {
                "action_items": {
                    "type": "array",
                    "items": {
                        "type": "object",
                        "properties": {
                            "task": {"type": "string"},
                            "assignee": {"type": "string"},
                            "deadline": {"type": "string"}
                        }
                    }
                }
            }
        }
    )

# result.output ALWAYS matches the schema
for item in result.output["action_items"]:
    print(f"→ {item['task']} ({item['assignee']})")

When to Use Agent MAX

✅ Perfect For
❌ Use Something Else

Multi-step workflows — 5-50+ steps with dependencies
Long-running tasks — Minutes, not seconds
High accuracy requirements — Financial, legal, customer-facing
Autonomous operation — Scheduled, triggered, unattended
Error resilience — Must complete despite API failures
Large data processing — Files, CSVs, documents

Pricing

Agent MAX is dramatically cheaper than running equivalent agent loops yourself:

Metric	Traditional Agent Loop	Agent MAX
Tokens per task	~50,000	~5,000
Retry cost	100% (restart)	20% (from cache)
Model usage	Always expensive	Adaptive (cheap when possible)

Agent MAX is included in all Incredible API plans. Pay only for tokens used.

Next Steps

Deep Work Features

Explore the 11 capabilities that make Agent MAX reliable

Live-Code Execution

Understand the technical architecture

Examples

Real code for real use cases

SDK Reference

Complete API and SDK documentation

Get Early Access

Agent MAX is currently in private beta. We’re onboarding teams gradually to ensure quality and gather feedback.

Join the Waitlist

Be among the first to use Agent MAX. Tell us about your use case and we’ll get you set up.

Agent MAX

​Fire and Forget AI Agents

90% Cheaper

Near-Zero Hallucination

Self-Healing

​The Problem with AI Agents Today

❌ Hallucinate

❌ Get Stuck

❌ Lose Focus

❌ Crash Silently

​What Makes Agent MAX Different

Learn more about Live-Code Execution

Explore all 11 features

​Quick Start

​Real-World Examples

🔍 Lead Research

📊 Churn Analysis

📝 Contract Review

🤖 Competitor Monitoring

See all examples with code

​Structured Output (Guaranteed)

​When to Use Agent MAX

​Pricing

​Next Steps

Deep Work Features

Live-Code Execution

Examples

SDK Reference

​Get Early Access

Join the Waitlist

Fire and Forget AI Agents

The Problem with AI Agents Today

What Makes Agent MAX Different

Quick Start

Real-World Examples

Structured Output (Guaranteed)

When to Use Agent MAX

Pricing

Next Steps

Get Early Access