Designs API contracts for consumer experience first — making correct usage obvious and incorrect usage impossible. Now with mathematical depth metrics, DX calculus, contract integrity , and verification gates.
Replaces adjectives with evidence, claims with demonstrations, and promises with proof for conversion-oriented writing. Now with mathematical depth metrics, specificity calculus, conversion proof , and verification gates.
Forces the model to build a genuine prosecution case against its own answer before delivering it. Now with recursive opposition, constitutional critique, ungameable gates, and mathematical depth metrics.
Detects and corrects objective drift during extended tasks by periodically checking work against the original request. Now with mathematical depth metrics, drift quantification, scope boundary , and verification gates.
Decides whether to ask clarifying questions or proceed with an answer, optimizing for information value vs. delay cost. Now with mathematical depth metrics, question value calculus, answer readiness , and verification gates.
Self-selects and sequences the right depth-skills proportional to task consequence, preventing both under- and over-analysis. Automatic skill selection, interference-validated sequencing, risk-aware activation, plugin architecture, meta-learning integration, and mathematical depth optimization.
Cross-compares every claim in an output to detect internal contradictions that sequential generation hides. Now with mathematical depth metrics, claim graph analysis, global coherence , and verification gates.
Forces the model to interrupt its surface response and activate deeper knowledge pathways before answering. Now with mathematical depth metrics (ADS, CEI, SI), recursive self-audit, cognitive trace artifacts, and verification gates.
Verifies whether the problem was correctly identified before solving, auditing pattern matches against first principles. Now with mathematical depth metrics, recursive audit, cognitive traces, and verification gates.
Forces generation of genuinely different solution paths before committing, preventing single-path pattern gravity. Now with MCTS exploration, independence verification (CIM), transfer testing, and mathematical depth metrics.
Analyzes what components create together that none intended — feedback loops, contention, timing bugs, and assumption collisions. Now with mathematical depth metrics, emergence risk quantification, interaction topology , and verification gates.
Digs beneath logic to inspect unchecked premises, rating each assumption by collapse severity. Now with sensitivity surfaces, counterfactual worlds, boundary detection integration, and mathematical depth metrics.
Prevents lossy compression from erasing conditions, exceptions, and uncertainties during summarization. Now with mathematical depth metrics, fidelity diff algorithm, compression integrity , and verification gates.
Flips constraints and beliefs to expose false walls and test plan robustness against inverted worldviews. Now with mathematical depth metrics, recursive audit, cognitive traces, and verification gates.
Illuminates what the answer never addressed — dimensions, stakeholders, and failure categories invisible from the activation path. Now with dimension completeness proofs, security/stakeholder scans, failure category taxonomy, and mathematical depth metrics.
Tags every claim as fact, inference, or guess and computes calibrated confidence to prevent epistemic flattening. Now with calibration curves, epistemic audit trails, inflation detection, and mathematical depth metrics.
Solves the same problem through multiple independent representations, then triangulates structural truth. Now with mathematical depth metrics, recursive audit, cognitive traces, and verification gates.
Prevents overthinking by matching cognitive investment to consequence - the intentional opposite of DEEP-THINK. Now with mathematical depth metrics, depth budget calculus, proportionality , and verification gates.
Uses the Feynman technique - explain simply to detect where knowledge gaps exist. Now with mathematical depth metrics, gap severity calculus, teaching effectiveness, and verification gates.
Evaluates decisions across multiple plausible futures, analyzing option value and temporal regret before commitment. Now with regret surfaces, option value optimization, transition s, and mathematical depth metrics.
Gates commitment on irreversible decisions by measuring reversal cost and enforcing proportional exploration depth. Now with reversal cost functions, commitment s, early warning signals, and mathematical depth metrics.
Re-derives every decision for the mobile context — thumb zones, network reality, attention budgets, and input constraints. Now with mathematical depth metrics, mobile fitness calculus, mobile readiness , and verification gates.
Enforces measure-profile-optimize order, preventing intuition-driven optimization of non-bottlenecks. Now with mathematical depth metrics, optimization ROI calculus, optimization , and verification gates.
Anchors product decisions to the user's job-to-be-done before features, architecture, or code. Now with mathematical depth metrics, JTBD calculus, outcome verification , and verification gates.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: