Why GPT Users Need AgentGenome
Stop burning tokens on unprofiled agents. Stop being locked into OpenAI forever. AgentGenome captures your GPT agent's behavioral DNA so you can optimize costs today and migrate freely tomorrow.
Token Costs Spiral Without Insight
GPT-4 pricing has increased 3x since launch. Without behavioral profiling, you're paying blind—no visibility into which prompts waste tokens or which agents underperform.
Vendor Lock-in Deepens Daily
Every prompt you optimize for GPT-4 locks you deeper into OpenAI. When Claude 4 launches with better reasoning or costs drop elsewhere, can you actually switch?
Behavioral Drift Goes Undetected
OpenAI updates models without warning. Your carefully tuned agent behavior can shift overnight, but without AgentGenome, you'll discover it in production complaints.
Migration Means Starting Over
Industry average for LLM migration: 4-6 weeks and $47K in engineering. Without portable behavioral profiles, switching providers means rebuilding everything from scratch.
"Sound familiar?"
AgentGenome Solves Every Problem
Add 3 lines of code. Capture your agent's behavioral DNA. Deploy anywhere.
from openai import OpenAI
from agentgenome import profile
client = OpenAI()
@profile(genome_id="my-gpt-agent")
def chat(prompt: str):
response = client.chat.completions.create(
model="gpt-4",
messages=[{"role": "user", "content": prompt}]
)
return response.choices[0].message.content
# Profile captures behavioral DNA automatically
chat("Explain quantum computing")What 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.
Escape rising costs—port to alternatives. Profile your GPT agents once, and deploy them on Claude, Gemini, Llama, or any provider without rewriting a single prompt.
Your GPT Agents Deserve Freedom
You've invested months optimizing GPT 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 Claude, Gemini, Llama, or any provider.
- ✓Keep your optimizations. Zero rework.
- ✓95%+ behavioral consistency guaranteed.
- ✓Hours, not weeks. Included in Pro tier.
# Export your GPT agent's genome
from agentgenome import genome
# Save portable behavioral profile
genome.export('my-gpt-agent.genome')
# Import to Claude - same behaviors, new substrate
genome.import_to('my-gpt-agent.genome', provider='anthropic')
# Or deploy on Gemini, Llama, Mistral...Deploy your GPT genome on any supported provider:
Profile once. Deploy anywhere. Never locked in.
Build GPT agents Once.
Deploy on Any LLM.
Escape rising costs—port to alternatives. Profile your GPT agents once, and deploy them on Claude, Gemini, Llama, or any provider without rewriting a single prompt.
Your Agent Genome
Behavioral DNA captured in universal format
Profile Your GPT agents
Add 3 lines of code. Capture behavioral DNA automatically.
from openai import OpenAI
from agentgenome import profile
client = OpenAI()
@profile(genome_id="my-gpt-agent")
def chat(prompt: str):
response = client.chat.completions.create(
model="gpt-4",
messages=[{"role": "user", "content": prompt}]
)
return response.choices[0].message.content
# Profile captures behavioral DNA automatically
chat("Explain quantum computing")Your agents become substrate-independent
Profile today, deploy on any LLM tomorrow. Your optimizations travel with you.
Real Results with AgentGenome
How Nexus AI Escaped GPT-4 Lock-In and Saved $2,100/Month
The Challenge
Nexus AI was spending $3,200/month on GPT-4 API calls. When costs increased 15%, they faced a choice: pay more or rebuild everything on a cheaper alternative. With 47 custom prompts optimized over 6 months, manual migration was estimated at 8 weeks and $35K.
The Solution
AgentGenome profiled all 47 agents, capturing behavioral genomes. These substrate-independent profiles were exported and imported to Claude 3.5 Sonnet using the migration assistant.
"We thought switching LLMs meant starting over. AgentGenome let us take our behavioral DNA with us. Three days, not three months."
— Maya Chen, Head of AI, Nexus AI
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 GPT | 🔓 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
- GPT 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 GPT."
When GPT raises prices or a better model launches, will you be ready to leave?
What You'll Achieve with AgentGenome
Real metrics from GPT 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 GPT?
Here's how to escape with your behavioral DNA intact
Profile Your Current Agent
Add 3 lines of code to capture your GPT 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 GPT.
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 GPT 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 GPT