Founding cast: Doc Albright, Clive Wigglesworth, Pam Portiscue, Clive's Man, Lazlo Marlowe. Each portrait opens that character's command centre room.
Platform
Step into a room through the portraits above — or use this full index to jump straight to any surface.
Score agent answers and flag stale context from the Needs-review shortlist.
Open reviewAsk Clive from anywhere — same governed context, booth-safe fallback.
Reason with CliveReview persona config and persona memories across agent bases.
Open agent basesBrowse brains on the shrine, read health at a glance, and enter each brain's workspace.
Open brain healthCoach Whit — standalone prompting coaching calibrated to your user brain.
Open coachBring a consequential matter to the Court — six cast members speak in character; you give the final call.
Convene the courtTask-scoped agents — personality editable, competence locked — with human-gated approval.
Design the fleetHyperAgent-ready packages with governed defaults and honest mock deployment.
Open deployImplementation jobs board — routing, Opus to Composer builds, publish gates.
Open dispatchKK Kingsford scorekeeper — training, confidence, team celebrations, enablement not surveillance.
Open adoptionBuild the brain
Not a chatbot. A human-approved brain for agent fleets.
AstraJax structures adoption. Clive structures context. Agent runtimes execute the work.
Adoption only sticks if the agents actually work. Clive gives them the scoped, sourced and human-approved context they reason from — then keeps that context current as people use the system and correct what it gets wrong.
A small taste — ask the brain
Founder proof
Domain experts don't need to become technical — with AI, they can become architects. The person closest to the work knows what the agent needs to understand, and when its answer is quietly wrong.
Built by someone who owned the P&L, ran the team, and had to make AI land with real non-technical users — a production agent adoption system at scale, with AI, on clean data, never hand-coded.
01 · The problem
Non-technical users are told they can build with AI, but too often the experience still feels like being invited into someone else's technical world. The people closest to the work know what matters; the tools rarely start there.
02 · The method
Guide → brain → fleet → runtime → coaching → feedback. Every step keeps the domain expert in charge of what good means.
01
Full Story, Light Story or No Story.
02
Capture context, rules and goals.
03
Personality editable, competence locked.
04
HyperAgent today, other runtimes tomorrow.
05
Keep momentum after week one.
06
Feedback improves the context layer.
The personality is editable. The competence is locked.
People get creative control without being allowed to break the machine. That is how citizen-builders stay safe while still feeling ownership. Story mode is configurable: theatre when it helps adoption, restraint when the room needs it.
Citizen-as-builder
Most agent tools are still built by developers, or by teams who think like builders. Even when the interface is cleaner, the assumptions can still make non-technical people feel like guests in someone else's world.
AstraJax exists to decodify that world: to make citizen-as-builder the standard, not the exception.
The operator knows the awkward exceptions, the real incentives, the messy handoffs and the moment an answer is quietly wrong. AstraJax keeps that judgement in the build instead of translating it away.
No coordinator → operator → product manager → developer → product manager → operator loop. The expert can shape context, test the agent, spot what broke and feed the correction back while the work is still warm.
When teams see feedback understood and actioned quickly, they stay tolerant of early failures. The tool gets stress-tested in real operation, improves faster and earns trust because people can see it learning.
Humans keep judgement
This is your decision. You now have context-aware, bias-checked opinions. You decide.
AstraJax does not ask AI to replace judgement. It gives the expert the helpful case, the sceptical case, the evidence and the trade-off, then makes ownership explicit.
For high-stakes decisions, Court Mode can bring in multiple role-based perspectives: upside, risk, evidence, implementation and human reaction. Full Story, Light Story or No Story; the substance stays the same. HyperAgent is the first runtime AstraJax services, while the adoption layer stays tool-agnostic.
Adoption by design
Personality makes the system approachable. Context makes it useful.
AstraJax turns adoption into a loop: people learn safely, see progress, get coached, and feed corrections back into the brain. That is how agents become part of the work instead of another tab people forget to open.
Four ways in
Find the adoption gap.
Where agents will fail: context, ownership, trust, workflow fit and feedback loops.
Build the first loop.
A guided context brain, first agent fleet, approval rules and deployment package.
Coach the citizen-builders.
Your experts learn to shape, test and improve agents without becoming developers.
Keep the brain clean.
Keeps agent context current, sourced, human-approved and ready for the runtime.
Start with an Audit
AstraJax gives them the context, guardrails and adoption loop to do it safely.
Book your Adoption AuditWhat you get
