The engineering discipline your AI agents have been missing.
Spec-driven design. Deterministic testing. Governed deployment. Built on OpenSentience. Distributed via FleetPrompt. No vendor lock-in.
57% of organizations have agents in production, but 32% cite quality as the #1 barrier (LangChain, 2026). Gartner predicts over 40% of agentic AI projects will be scrapped by 2027 — not because the models fail, but because they aren't engineered for reality.
20+ no-code builders optimize for impressive first demos. Enterprise platforms like OpenAI Frontier and Salesforce AgentForce provide governance but demand total lock-in. Neither serves engineering teams that need reliability.
OpenAI's enterprise agent platform treats agents as "AI coworkers." Fortune calls it OpenAI's bid to become the "operating system of the enterprise." Agentelic provides the same rigor — without the lock-in, on your own infrastructure.
InfoQ reported on Agent Definition Language — a vendor-neutral spec for agents. Validates SpecPrompt's thesis: the industry needs a standard definition layer.
Every agent starts from a SpecPrompt specification — behavior contracts, acceptance criteria, boundary conditions. The spec is the source of truth, not the prompt. AWS Kiro, GitHub Spec Kit, and Thoughtworks all validate SDD.
Agents tested against specs with reproducible scenarios. Every tool call mocked, every output validated. Regression suites catch drift before production. No more "it worked when I tried it."
Staged rollouts with canary testing. Permission review gates. Compliance checks. Full audit trail from spec to production. Rollback any version in seconds.
The market optimizes for time-to-first-demo. Agentelic optimizes for time-to-reliable-production.
| Agentelic | No-Code Builders | OpenAI Frontier | Dev Frameworks | |
|---|---|---|---|---|
| Spec-driven design | SpecPrompt built-in | None | None | Manual |
| Deterministic testing | First-class | None | Eval loops | DIY |
| Versioned deployment | Git-native | Overwrite | Versioned | Manual CI/CD |
| Compliance & audit | Templates built-in | None | IAM-based | Custom |
| Runtime | OpenSentience (local) | Cloud-only | OpenAI cloud | Varies |
| Protocol | MCP native | Plugins | OpenAI API | Varies |
| Continual learning | Graphonomous | None | Feedback loops | None |
| Vendor lock-in | None | Medium | OpenAI | Minimal |
SpecPrompt defines the contract → Agentelic builds, tests, deploys → OpenSentience runs with governance → Graphonomous provides memory → FleetPrompt distributes → Delegatic orchestrates multi-agent systems.
SPEC.md files define behavior, constraints, and acceptance tests that drive the build pipeline.
Local-first execution with process isolation, fine-grained permissions, and full audit trails.
Knowledge graphs that grow with use. Agents learn from production without retraining.
Publish tested agents to the marketplace. Community-reviewed, trust-scored, ready for install.