Why AI21 Users Need AgentGenome
AI21 offers specialized models for specific tasks. AgentGenome helps you compare behavioral profiles across models—finding the best fit for each use case.
Task-Specific Models Lack Comparison Tools
Is Jamba better than Jurassic-2 for your use case? Without behavioral profiling, choosing between task-specific models is guesswork.
Fine-Tuned Behaviors Need Documentation
Your fine-tuned AI21 model behaves differently than baseline. How do you document these differences for your team or stakeholders?
Model Updates Can Shift Task Performance
AI21 model updates can change task-specific behaviors. AgentGenome detects when updates affect your carefully optimized use cases.
Better Task-Specific Models Keep Launching
New specialized models emerge constantly. Can you evaluate them against your current agent without starting from scratch?
"Sound familiar?"
AgentGenome Solves Every Problem
Add 3 lines of code. Capture your agent's behavioral DNA. Deploy anywhere.
from ai21 import AI21Client
from agentgenome import profile
client = AI21Client(api_key="YOUR_KEY")
@profile(genome_id="task-specialist")
def summarize(text: str):
response = client.chat.completions.create(
model="jamba-1.5-large",
messages=[{"role": "user", "content": f"Summarize: {text}"}]
)
return response.choices[0].message.content
# Task-specific behaviors captured for comparisonWhat You Get
- Behavioral profiling without code changes
- 35% average token savings
- Real-time drift detection
- Substrate-independent genome export
- Multi-provider deployment ready
Profile Once. Deploy Anywhere.
Cross-model genome comparison. Profile your AI21 agent and compare behavioral metrics against alternatives—then migrate with confidence.
Your AI21 Agents Deserve Freedom
You've invested months optimizing AI21 prompts. What happens when costs rise, performance drops, or a better model launches?
✗Without AgentGenome
- •Start over. Rebuild every prompt from scratch.
- •Lose months of behavioral optimization.
- •4-6 weeks of engineering per migration.
- •$47K+ average migration cost.
- •40%+ behavioral drift during migration.
With AgentGenome
- ✓Export your behavioral genome in one click.
- ✓Import to GPT, Claude, Gemini, or any provider.
- ✓Keep your optimizations. Zero rework.
- ✓95%+ behavioral consistency guaranteed.
- ✓Hours, not weeks. Included in Pro tier.
# Compare models via genome analysis
from agentgenome import genome
# Profile on AI21 Jamba
genome.export('task-specialist-jamba.genome')
# Profile same tasks on alternative
genome.export('task-specialist-gpt.genome')
# Compare behavioral profiles
genome.compare(['task-specialist-jamba', 'task-specialist-gpt'])Deploy your AI21 genome on any supported provider:
Profile once. Deploy anywhere. Never locked in.
Build AI21 agents Once.
Deploy on Any LLM.
Cross-model genome comparison. Profile your AI21 agent and compare behavioral metrics against alternatives—then migrate with confidence.
Your Agent Genome
Behavioral DNA captured in universal format
Profile Your AI21 agents
Add 3 lines of code. Capture behavioral DNA automatically.
from ai21 import AI21Client
from agentgenome import profile
client = AI21Client(api_key="YOUR_KEY")
@profile(genome_id="task-specialist")
def summarize(text: str):
response = client.chat.completions.create(
model="jamba-1.5-large",
messages=[{"role": "user", "content": f"Summarize: {text}"}]
)
return response.choices[0].message.content
# Task-specific behaviors captured for comparisonYour agents become substrate-independent
Profile today, deploy on any LLM tomorrow. Your optimizations travel with you.
Real Results with AgentGenome
How TextWorks Found the Best Model for Each Task
The Challenge
TextWorks used AI21's Jamba for all text tasks, but suspected different tasks might perform better on specialized models. Without behavioral comparison tools, testing alternatives required weeks of manual evaluation.
The Solution
AgentGenome profiled Jamba across different task types, then profiled the same tasks on GPT-4 and Claude. Genome comparison revealed which model excelled at each task.
"AgentGenome turned model selection from gut feeling to data-driven decision. We now use the right model for each task."
— Kevin Zhao, Director of AI, TextWorks
Without vs With AgentGenome
| Aspect | Without AgentGenome | With AgentGenome |
|---|---|---|
| Debugging Time | 4+ hours per incident | 52 minutes average (-78%) |
| Token Efficiency | Unknown waste | 35% average savings |
| Behavioral Visibility | Black box | Full trait analysis |
| Drift Detection | Discover in production | Catch before deployment |
| Agent Portability | 🔒 Locked to AI21 | 🔓 Deploy on any LLM |
| Migration Time | 4-6 weeks per provider | Hours with genome export |
| Migration Cost | $47K+ engineering | Included in Pro tier |
| Multi-Provider Strategy | Rebuild for each | One genome, all providers |
| Future-Proofing | Start over when models change | Take your genome with you |
| Vendor Negotiation | No leverage (locked in) | Full leverage (can leave) |
The Cost of Waiting
💸 Financial Lock-In
- AI21 pricing has increased multiple times since launch
- Without portable profiles, you pay whatever they charge
- Migration estimate without AgentGenome: $47K and 8 weeks
⚠️ Strategic Lock-In
- Better alternatives might exist—but can you actually switch?
- Your competitors are profiling for portability right now
- When you need to migrate, will you be ready?
🔒 The Vendor Lock-In Tax
- 4-6 weeks of engineering to migrate unprofiled agents
- 40%+ behavioral drift during manual migration
- Zero leverage in pricing negotiations
📉 Competitive Disadvantage
- Competitors with portable profiles ship 80% faster
- They negotiate contracts with leverage—you don't
- They test new models in hours; you take months
"Every day without profiling locks you deeper into AI21."
When AI21 raises prices or a better model launches, will you be ready to leave?
What You'll Achieve with AgentGenome
Real metrics from AI21 users who profiled their agents
Before AgentGenome
- • Debugging: 4+ hours per incident
- • Migration: 4-6 weeks per provider
- • Token waste: Unknown
- • Drift detection: In production
- • Vendor leverage: None
After AgentGenome
- • Debugging: 52 minutes average
- • Migration: Hours with genome export
- • Token savings: 35% average
- • Drift detection: Before deployment
- • Vendor leverage: Full (can leave anytime)
Already Locked Into AI21?
Here's how to escape with your behavioral DNA intact
Profile Your Current Agent
Add 3 lines of code to capture your AI21 agent's behavioral DNA. No changes to your existing logic.
Export Your Genome
One command exports your substrate-independent genome. It works on any LLM provider, not just AI21.
Deploy Anywhere
Import your genome to Claude, Gemini, Llama, or any provider. 95%+ behavioral consistency, zero rework.
Zero-Downtime Migration Promise
AgentGenome's migration assistant guides you through the process. Profile your current agent while it's running, export the genome, and deploy to a new provider—all without touching your production system until you're ready.
Start Free. Unlock Portability with Pro.
Most AI21 users choose Pro for multi-provider genome sync. Start free and upgrade when you need portability.
| Portability Features | Free | Pro | Enterprise |
|---|---|---|---|
| Genome Export | JSON only | JSON + YAML | All formats |
| Multi-Provider Sync | — | ✓ | ✓ + Custom |
| Migration Assistant | — | ✓ | ✓ + SLA |
| Custom Substrate Adapters | — | — | ✓ |
Frequently Asked Questions
Everything you need to know about AgentGenome for AI21