Built for teams who run AI in production
Six core capabilities address real operational problems — cost, context, control, skills, and organizational learning. Each has a dedicated deep dive.
Built for engineering teams
who take AI seriously.
These aren't features for a slide deck. Each capability addresses a real operational problem that teams face when running LLMs in production.
Hybrid Model Architecture
One super agent. Many cheap sub-agents. Automatically.
A high-capability orchestrator reasons about the task and delegates execution to lower-cost models. You get quality where it matters and efficiency everywhere else.
Smart Context Window
Only pass what's relevant. Not the full conversation history.
Devtor compresses and filters session context before each inference call, eliminating token waste without losing continuity.
Pre-Execution Token Estimation
Know the cost before you commit the compute.
Before running any expensive inference, Devtor surfaces a token estimate and projected cost. You decide whether to proceed.
Interactive Think Mode
Interrupt an agent mid-execution. Redirect. Continue.
Unlike black-box agent loops, Devtor exposes intermediate reasoning steps and lets you inject corrections before the agent finalizes its output.
Skill Builder
Build, test, and benchmark custom agent behaviors.
Define reusable skills with evaluation modes and test suites. Fine-tune agent behavior against real benchmarks without guesswork.
Cross-User Learning
When one instance solves a problem, all instances benefit.
Failed tasks and their resolutions are stored and indexed. The next agent that hits the same wall retrieves the fix — across your entire organization.