Skip to main content
Agent MAX is currently in private beta. Join the waitlist to get early access.

​
Built for Deep Work

Agent MAX isn’t just a smarter model—it’s an execution engine with 11 built-in capabilities that ensure complex tasks actually complete. These aren’t optional features. They’re always on, working together to make agents reliable. Agent MAX Deep Work Features

​
🎯 Anti-Hallucination

The agent uses real data. Always. Every parameter, every function call, every output is validated against the actual context before execution. If the data isn’t there, the agent won’t make it up.
AspectImplementation
MechanismInput validation against available context; output verification before committing
ResultNear-zero hallucination on function calls
GuaranteeNo fabricated data, no wrong parameters
Technical details:
  • All function call parameters are validated against schema definitions
  • Outputs are traced to source data in connected apps
  • Agents reject requests that require information not present in context
Real impact: In testing, Agent MAX achieved 99.7% accuracy on function call parameters vs. 89% for standard agent loops.

​
🔄 Anti-Loop

Stuck? The agent knows when to stop. AI agents famously get stuck in loops, burning through credits while accomplishing nothing. Agent MAX detects repetitive patterns and terminates cleanly—preserving partial results.
AspectImplementation
MechanismPattern detection for repeated actions; stuck-state recognition
ResultClean termination when no progress is possible
GuaranteeNo infinite loops, no runaway costs
Technical details:
  • Action history is analyzed for repetition patterns
  • Stuck detection triggers after configurable thresholds
  • Graceful shutdown preserves partial results where possible
Without this: A single stuck agent can burn $50+ in API costs before you notice. Agent MAX catches this in seconds.

​
🔬 Laser Focus

20+ steps? Still on track. Long tasks are hard. Agents drift. Intermediate results distract from the goal. Agent MAX maintains goal alignment across even the longest workflows—re-anchoring at every step.
AspectImplementation
MechanismGoal anchoring; intermediate output filtering
ResultConsistent task completion without drift
GuaranteeNo distraction from intermediate outputs
Technical details:
  • Primary goal is preserved and re-referenced throughout execution
  • Intermediate results are evaluated for relevance before influencing next steps
  • Long tasks are chunked with goal validation at each checkpoint

​
✅ Start to Finish

It’s not done until it’s done. Agent MAX doesn’t stop at “mostly complete.” Every step is verified. Every deliverable is checked. The task isn’t marked done until everything is actually finished.
AspectImplementation
MechanismStep verification; completeness validation
ResultFull task execution with confirmation
GuaranteeNo partial outputs, no silent failures
Technical details:
  • Each step produces verifiable outputs
  • Final validation checks all expected deliverables
  • Incomplete runs are flagged with specific failure points

​
🎯 Precision Actions

Every function call is exact. When Agent MAX calls a function, the parameters are right. Types match. Required fields are present. Constraints are respected. No more “close enough” function calls.
AspectImplementation
MechanismSchema validation; type checking; constraint enforcement
ResultExact execution of requested actions
GuaranteeAgents do exactly what was asked
Technical details:
  • Function schemas define required and optional parameters
  • Type coercion follows strict rules
  • Out-of-bounds values trigger validation errors, not silent failures

​
🧠 Deep Memory™

10x more context. 90% less cost. Long tasks need long memories. Agent MAX automatically compresses context—keeping essential facts while summarizing the rest. The result: handle massive tasks without hitting token limits.
AspectImplementation
MechanismContext compression; relevance-weighted caching
Result10x more context capacity without forgetting
GuaranteeLarge tasks and datasets stay in focus
Technical details:
  • Automatic summarization of older context
  • Key facts are preserved at full fidelity
  • Cache invalidation based on task relevance
Example: A 50-step task that would normally consume 500K tokens runs on ~50K tokens with Deep Memory™.

​
🛡️ Safety Built In

Guardrails by default. You don’t need to build error handling, validation, or safety checks. Agent MAX includes them out of the box: input sanitization, error boundaries, resource limits, automatic termination.
AspectImplementation
MechanismMulti-layer validation; error boundaries; automatic shutdown
ResultProtected execution without additional configuration
GuaranteeNo safety engineering required
Technical details:
  • Input sanitization on all external data
  • Error boundaries prevent cascade failures
  • Resource limits enforced at runtime
  • Automatic termination on unsafe states

​
⚡ Fast Retries

Second chances are cheap. When something fails, Agent MAX doesn’t start over. It retries from cache—using the successful steps already completed. Result: retries cost 80% less.
AspectImplementation
MechanismContext caching; incremental retry
Result80% lower retry costs
GuaranteeMistakes don’t compound
Technical details:
  • Successful action results are cached
  • Failed actions retry with cached context
  • Cache persistence configurable per task type
Traditional retry: Step 1 → Step 2 → Step 3 → FAIL → Step 1 → Step 2 → Step 3
Agent MAX retry:   Step 1 → Step 2 → Step 3 → FAIL → [cached] → [cached] → Step 3

​
🔧 Self-Heal

Errors get fixed automatically. When an action fails, Agent MAX doesn’t just retry blindly. It analyzes the failure, identifies the root cause, and tries an alternative approach. Built-in feedback loops enable automatic recovery.
AspectImplementation
MechanismReal-time validation; adaptive retry; feedback loops
ResultAutomatic error recovery
GuaranteeErrors get fixed without restarting the task
Technical details:
  • Failure patterns are analyzed for root cause
  • Alternative approaches are attempted automatically
  • Learning from failures improves subsequent attempts
Example: API returns 429 rate limit? Agent MAX automatically backs off, retries with exponential delay, and continues where it left off.

​
🔀 Adaptive Routing

Right model. Right price. Every step. Not every step needs GPT-4. Agent MAX analyzes each step’s complexity and routes to the optimal model: fast and cheap for simple actions, powerful for complex reasoning.
AspectImplementation
MechanismTask complexity analysis; dynamic model selection
ResultOptimal cost/performance balance
GuaranteeFaster and cheaper, automatically
Technical details:
  • Step complexity is estimated before execution
  • Model routing based on reasoning requirements
  • Cost optimization without quality degradation
Step 1: "Parse this JSON"        → GPT-4o-mini (fast, cheap)
Step 2: "Analyze legal risk"     → Claude Opus (powerful)
Step 3: "Format as markdown"     → GPT-4o-mini (fast, cheap)
Step 4: "Draft executive summary"→ GPT-4 (balanced)

​
💭 Agentic Reasoning

Think first. Act second. Before executing, Agent MAX plans. It uses chain-of-thought reasoning to map out dependencies, identify potential blockers, and sequence steps optimally. Built on 30+ prompting frameworks from frontier AI research.
AspectImplementation
MechanismChain-of-thought planning; multi-framework prompting
ResultBetter sequencing and higher reliability
GuaranteeAgents think before they act
Technical details:
  • Planning phase generates execution strategy
  • Multiple reasoning frameworks available
  • Step sequencing optimized for task requirements

​
Feature Comparison

FeatureWhat It DoesUser Benefit
Anti-HallucinationValidates outputs against real dataNo made-up data
Anti-LoopDetects and terminates stuck statesNo runaway costs
Laser FocusMaintains goal across long tasksTasks stay on track
Start to FinishVerifies complete executionNo partial results
Precision ActionsSchema validation on every callExact function execution
Deep Memory™90% context compression10x more capacity
Safety Built InGuardrails out of the boxNo safety code needed
Fast RetriesRetry from cache80% cheaper retries
Self-HealAutomatic error recoveryFailures get fixed
Adaptive RoutingRight model per stepOptimal cost
Agentic ReasoningThink-then-act planningBetter sequencing

​
Next Steps

Live-Code Execution

Understand Agent MAX’s technical superpower

Examples

See these features in action