AI Blueprint
Explore your sources, workflows and deployment needs to shape a personal plan.
Try AI Blueprint ↗AI LAB · BUILD. TEST. EVOLVE.
Stay curious.
Build something useful.
This is where we test ideas around the Knowcore engine: reusable skills, agents, connected workflows and small apps that might make a real difference.
SECTION 01 · THE LAB
Explore the future through a small experiment.
Not every idea needs a large product. A useful skill, workflow or small tool can change how we do things.
Skills PlaygroundSkills
Turn recurring professional tasks into reusable skills.
Agent ExperimentsAgents
Explore roles and collaboration between agents.
Automation LabFlow
Connect tools and tasks in recurring workflows.
Mini AppsApps
Turn interesting ideas into small AI apps.
AIR PlaygroundAIR
Explore model choice, speed, cost and privacy.
SECTION 02 · FEATURED
Featured experiments
Multi-Agent Chat
Explore collaboration between a researcher, planner and assistant.
View the experiment plan ↗AIR Router Demo
Compare task complexity, model choices, privacy and cost policies.
View the experiment plan ↗ KNOWCORE / EXPERIMENT MANIFEST
brain.capture() → context.retrieve() → agent.prepare() → human.review() [testing] browser sandboxes + online blueprint service [building] retrieval / memory / handoff designs [planned] expert twin / attention budget / knowledge services
SECTION 03 · PLAY / OBSERVE / ITERATE
Try it. Observe it. Question it.
Three working browser experiments. No fabricated execution logs or connections to your private data.
Uses fixed sample passages to illustrate capacity trade-offs; not a model token measurement.
context_budget: 4000
[keep] task_context · 800
[keep] verified_method · 1200
[keep] recent_case · 1800
[defer] archive_notes · 2800
allocated: 3800
remaining: 200
SECTION 04 · EXPERIMENT REGISTRY
Small experiments. A future in the making.
01 / Mini App
LiveAI Blueprint
Where should your first AI system begin?
Explore your sources, workflows and deployment needs to shape a personal plan.
Explore the project ＋
01 / THE GOAL
Turn a brief into a handoff-ready plan.
02 / Knowcore Engine MODULES
03 / TECHNICAL NOTES
Validated answers feed planning rules; model analysis is optional.
04 / WHAT’S NEXT
Try AI Blueprint ↗Try the questions and Markdown export. Tell us what your plan needs.
02 / Skills
PlannedSkills Playground
Turn your methods into reusable skills.
Explore skills for research, summaries, documents and specialist tasks.
View experiment plan ＋
01 / THE GOAL
Reuse professional methods with clear acceptance criteria.
02 / Knowcore Engine MODULES
03 / TECHNICAL NOTES
Plan: evaluate reusable skills with inputs, examples and acceptance criteria.
04 / WHAT’S NEXT
Discuss this experiment ↗Collect real needs, then validate a small prototype.
03 / Agents
PlannedMulti-Agent Chat
Different AI roles. One shared conversation.
Explore collaboration between a researcher, planner and assistant.
View experiment plan ＋
01 / THE GOAL
Keep context and responsibility through each handoff.
02 / Knowcore Engine MODULES
03 / TECHNICAL NOTES
Plan: validate handoffs, shared context and human review.
04 / WHAT’S NEXT
Discuss this experiment ↗Collect real needs, then validate a small prototype.
04 / AIR
PlannedAIR Router Demo
Which AI should handle this task?
Compare task complexity, model choices, privacy and cost policies.
View experiment plan ＋
01 / THE GOAL
Explain the model choice, not just the output.
02 / Knowcore Engine MODULES
03 / TECHNICAL NOTES
Plan: explain routing and fallback without invented model benchmarks.
04 / WHAT’S NEXT
Discuss this experiment ↗Collect real needs, then validate a small prototype.
05 / Flow
PlannedAutomation Lab
Put recurring work on a workflow.
Explore connections between email, tasks, knowledge and other tools.
View experiment plan ＋
01 / THE GOAL
Retry safely and review sensitive actions.
02 / Knowcore Engine MODULES
03 / TECHNICAL NOTES
Plan: validate idempotency, retries and approvals for external actions.
04 / WHAT’S NEXT
Discuss this experiment ↗Collect real needs, then validate a small prototype.
06 / Knowledge
In developmentLiving Knowledge
Knowledge keeps moving.
Explore ongoing capture, updates, connections and source tracking.
View experiment plan ＋
01 / THE GOAL
Keep answers tied to current, traceable sources.
02 / Knowcore Engine MODULES
03 / TECHNICAL NOTES
Research: incremental indexing, versions and citation updates.
04 / WHAT’S NEXT
Discuss this experiment ↗Validate a small pilot before opening a public experience.
07 / Memory
In developmentMemory Garden
Let useful memories grow with you.
Explore lasting memory, updates, timelines and corrections.
View experiment plan ＋
01 / THE GOAL
Let people inspect, correct and remove memories.
02 / Knowcore Engine MODULES
03 / TECHNICAL NOTES
Research: verification dates, conflicts, corrections and revocations.
04 / WHAT’S NEXT
Discuss this experiment ↗Validate a small pilot before opening a public experience.
08 / Runtime
In developmentHome Lab Sandbox
Your hardware. Your AI.
Explore local models, private deployment, health checks and recovery.
View experiment plan ＋
01 / THE GOAL
Validate installation, monitoring, upgrades and recovery.
02 / Knowcore Engine MODULES
03 / TECHNICAL NOTES
Alpha engineering needs hardware validation; this page does not operate a host.
04 / WHAT’S NEXT
Discuss this experiment ↗Validate a small pilot before opening a public experience.
09 / Agent Studio
PlannedAgent Builder
Build an assistant around one task.
Explore assistants configured with knowledge, roles, tools and boundaries.
View experiment plan ＋
01 / THE GOAL
Make tools, permissions and task boundaries clear.
02 / Knowcore Engine MODULES
03 / TECHNICAL NOTES
Plan: validate scoped access, versioning and approval before execution.
04 / WHAT’S NEXT
Discuss this experiment ↗Collect real needs, then validate a small prototype.
Development entries describe concepts, protocols or workflow designs that still need validation with real sources and tasks. They are not deployed production capabilities.
SECTION 05 · BUILD LOG / V4.2
Every experiment starts the next iteration.
We record questions, methods, findings and the next steps.
01 · Experiment registry
Nine directions, with live, development and planned states.
02 · Execution boundaries
Keep browser sandboxes; external actions require separate authorization.
03 · Next validation
Focus on source references, memory correction and routing explanations.
What AI idea would you like to try?
Share a question, need or experiment idea. Explore what we could build together.
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