How to Choose an AI Agent Platform
About a week of evaluation for an enterprise team
Choosing an AI agent platform shapes the next 3-5 years of your AI infrastructure. This guide covers a practical evaluation framework — the questions that matter, the trade-offs to consider, and how LeafMesh ADK compares to the alternatives.
Steps
- 01
List your requirements
Vendor flexibility, deployment model (SaaS vs on-prem), compliance (SOC 2, GDPR, HIPAA, DPDP), governance primitives (audit, HITL, policy), observability, multi-agent support, and total cost. Rank them by criticality.
- 02
Evaluate vendor lock-in
Some platforms (e.g., IBM watsonx Orchestrate) are tightly coupled with one ecosystem. Others (LeafMesh ADK, agno.os) are vendor-agnostic. If you might use OpenAI, Anthropic, Google, or specialised models in the next 3 years, vendor-agnostic is non-negotiable.
- 03
Evaluate governance primitives
Does the platform provide audit, HITL, policy enforcement, and escalation as primitives — or do you have to DIY them? Frameworks like LangGraph and AutoGen are powerful but DIY for governance. LeafMesh provides governance primitives natively.
- 04
Evaluate operational maturity
Self-healing, cost control, capability routing, observability dashboards. These are operational primitives that separate research-grade from production-grade. Test them in a 2-week trial.
- 05
Evaluate multi-agent support
Single-agent platforms struggle when you need a team. Look for: shared memory, capability-based routing, cross-agent policy. LeafMesh treats multi-agent as the default; many platforms treat it as an extension.
- 06
Run a 2-week pilot
Pick one workflow with real stakes. Deploy on the candidate platform end-to-end including governance and observability. Document time-to-first-deploy, time-to-policy-update, time-to-debug-an-incident.
- 07
Compare total cost
Don't just look at platform pricing. Consider: development time, ops time, vendor lock-in cost, time-to-production. LeafMesh's published pricing ($99/month — 5,000 invocations included, then $0.06 each; custom above 150K/month) makes the platform side easy to evaluate.
Common pitfalls
- !Choosing the platform with the loudest demos rather than the best operational primitives.
- !Underestimating governance until you're in front of an audit committee.
- !Locking to one LLM vendor — your model needs will change in 12 months.
- !Skipping the pilot. You learn more in 2 weeks of real use than 2 months of evaluations.
Related guides
Want to put this into practice?
LeafMesh ADK is the agent operations fabric that runs the patterns in this guide.