Get more out of the way you work with AI.
Praxys helps you spot recurring workflow friction, catch potentially sensitive information before sending it, and turn repeated AI tasks into reusable workflows.
Point-of-Action Intelligence Interface
Live demonstration preview: friction alerts, pre-dispatch credential interception, and workflow template generator across ChatGPT, Claude, and developer tools.
Built to solve the day-to-day challenges of working with AI.
Instead of abstract metrics, Praxys delivers concrete, point-of-action support directly where you interact with AI.
Praxys Collaboration
Find one thing to improve.
Friction: You get stuck in prompt reformulations, syntax fix cycles, and friction loops that turn a 2-minute question into 20 minutes of tweaking.
What you experience: Identifies recurring friction cadences in real-time and provides a single, actionable suggestion to structure your prompt better.
Outcome: Apply concrete prompt structure recommendations to eliminate repetitive trial-and-error cycles.
Praxys Assurance
Catch sensitive info before sending.
Friction: Accidental pasting of database credentials, customer records, or API keys into external public LLM chat windows.
What you experience: Scans prompts locally in your browser before network dispatch, flagging credentials with clear Cancel & Edit or Send Anyway options.
Outcome: Protect sensitive data at the point of action before it leaves your browser, without blocking everyday work.
Praxys Capability
Turn repeated tasks into reusable workflows.
Friction: Rewriting the same multi-step instructions, tone constraints, and formatting rules every time you perform a routine AI task.
What you experience: Detects repeated prompt patterns across your sessions and synthesizes editable, reusable prompt templates with variable placeholders.
Outcome: Review and save proven prompt templates for yourself and your team, building lasting leverage from everyday work.
From permitted signals to evidence-backed decisions.
Praxys never records background keystrokes or unauthorized activity. Only explicitly permitted AI interaction telemetry enters the normalization pipeline.
Permitted Signals
Client-side extension & consented app interactions
Normalized Evidence
Provenance hashing & schema normalization
Specialized Analysis
Assurance, Collaboration & Capability engines
Findings & Decisions
Policy warnings, workflow nudges & governance
Three Concrete Experiences
Clear, point-of-action support for your everyday AI interactions.
You made 5 quick prompt adjustments in 8 minutes trying to get the model to return valid, unescaped JSON for an API endpoint without markdown wrappers.
Instead of repeatedly asking the model to “fix JSON formatting” after the fact, include a 2-line target schema and specify:
"Output strictly raw, valid JSON matching this schema: { status: string, data: array }. Do not include markdown codeblocks or explanation."Grounded in empirical discovery, not marketing hype.
Praxys began by listening to the people experiencing the rapid transition to AI assistance. Our exploratory discovery interviews identified deep, consistent patterns: while generative output speed increased dramatically, independent problem formulation and conceptual retention often degraded.
Qualitative discovery cohort identifying cognitive offloading patterns.
Computer science & engineering faculty evaluating learning visibility.
Join the waitlist for the Praxys behavioral intelligence platform.
We are onboarding select enterprise teams and higher education institutions for pilot cohorts.