Torqon thinks
before inference

Behind every prompt is a context optimization layer that classifies intent, retrieves relevant memory, compresses history, controls token budgets, and assembles cleaner prompts.

The routing engine
behind every prompt

The Brain doesn't just send your prompt to a model. Torqon prepares the highest-signal context first, then the Brain chooses the best path forward.

01
Smart model routing

Task classification selects the most capable and cost-efficient model for each request automatically based on the prompt type.

02
Feedback memory

Meridian records what worked and what didn't, refining future routing and response style to match your preferences over time.

03
Debate tooling

Pit models against each other on complex questions. Structure adversarial reasoning to surface stronger, more robust conclusions.

04
Cost estimates

Before committing to a long task, see projected cost by model. Stay in budget without guessing or post-hoc surprises.

Brain — Active Open Brain

Token-optimized
context orchestration

Torqon turns conversation state into a retrievable, ranked, compressed, and budget-controlled resource. It reduces prompt noise while preserving long-session continuity.

Read architecture report
User input Intent classification Memory retrieval Summary compression Token budget Prompt assembly LLM inference Memory extraction
01

Context only when it matters

Fast heuristics and lightweight classification decide whether a request needs workspace memory or can run standalone.

02

Ranked retrieval, not raw history

Relevant memory is embedded, scored, thresholded, and selected so weak matches stay out of the prompt.

03

Deterministic token control

Summary, memory, and recent conversation each receive a budget so high-value context survives trimming.

04

Compounding memory layer

Decisions, constraints, stack choices, and goals are extracted after responses and deduplicated semantically.

Baseline 7200+

tokens in a 50-message conversation when raw history is sent.

Torqon ~3000

tokens with summary, ranked memory, and recent high-signal context.

Scoring 0.7 / 0.3

similarity and recency weighting for deterministic memory ranking.

Intelligence that
compounds over time

The Brain isn't static. It learns from every interaction, refining its routing logic and building a preference profile unique to you and your team.

Task classification

Every prompt is analyzed for type — code, research, writing, analysis — and routed to the model best suited for that category.

Analytics dashboard

See which models perform best for your work, track token usage trends, and understand cost breakdowns by project.

Focus prompt layers

Each focus mode injects a carefully tuned system prompt that shapes model behavior for the specific task type.

Let the Brain
work for you

Brain routing is available on Pro and Enterprise plans. Start a trial and see the difference intelligent routing makes.