Why I built SharePlane
I was trying to solve a continuity problem.
I did not start by trying to build another publishing platform. I was trying to stop valuable thinking and work from becoming expensive to reconstruct every time attention moved, a session ended, a model changed, or an interface disappeared.
The upside is synthesis. The downside is state.
01 / Origin
The actual problem
The work kept surviving. The working state did not.
I tend to work across a lot of connected threads. That is useful when ideas from one domain unlock another. It is brutal when the exact reasoning state is trapped in my head, in a conversation, in a folder, in a half-finished artifact, or in a tool that no longer has the context.
The problem was not simply forgetting facts. I could usually recover facts. The expensive part was reconstructing why a decision had been made, which constraint mattered, which version was authoritative, what had already failed, what was still unresolved, and where I was supposed to resume.
Continuity is not remembering everything. It is preserving enough governed state that useful work can resume without inventing its past.
02 / Origin
AI changed the scale
The thinking bottleneck got smaller. The continuity bottleneck got bigger.
AI made it possible to explore, analyze, draft, build, test, and iterate at a rate I had never experienced before. That was extraordinary. It also multiplied the number of active threads, artifacts, decisions, and half-completed directions that had to remain coherent.
A conversation could be brilliant and still be a terrible system of record. A model could sound as though it remembered what happened and confidently reconstruct something that never happened. A new session could be intelligent while having no legitimate authority over the state left behind by the last one.
What AI improvedReasoning speed
Exploration
Implementation
Synthesis
What it exposedState fragmentation
Reconstruction cost
Authority ambiguity
False continuity
03 / Origin
Trying to save the ghost
At first, I tried to preserve the agent.
Persistent context, memory, snapshots, reconstruction, continuity experiments. I kept circling the same instinct: if the intelligence could somehow remember enough, maybe the work would stay coherent.
That approach taught me something important. Reconstruction can drift. Apparent memory is not the same thing as evidence. A worker that sounds continuous is not necessarily operating from the same facts, authority, or exact state.
The inversionI did not need the same agent to survive. I needed the work to survive.
04 / Origin
The continuity unit changed
From memory to governed Work.
Once the work became the durable object, the architecture changed. A useful Work needed more than a file or a page. It needed stable identity, meaning, history, evidence, relationships, authority, lifecycle state, and enough recovery information for another human or worker to understand what was true and what remained to be done.
IdentityWhat Work is this?
MeaningWhat is it actually saying?
AuthorityWho may decide or change it?
EvidenceWhat supports the claims?
RelationshipsWhat came before and what follows?
StateWhat is current, accepted, partial, or planned?
HistoryWhat changed and why?
Re-entryWhat is the next valid action?
05 / Origin
Why SharePlane exists
The final page was never enough.
I wanted a public place where serious developed work could keep more of what made it valuable: the argument, the sources, the provenance, the evidence, the relationships, the revision history, the machine-readable context, and the trail back to the accountable human author.
That is why SharePlane can contain very different forms without pretending they are the same thing: essays, evidence packages, prototypes, microsites, interactive tools, full applications, architecture explainers, and machine-readable context. They are projections of governed Work, not disposable pages floating without lineage.
SharePlane is a continuity layer for serious work.
06 / Origin
KISS, with receipts
Complexity belongs underneath the experience.
I have always preferred systems that are simpler than the problems they contain. SharePlane should not make a reader understand Git, schemas, deployment pipelines, graph machinery, or agent orchestration just to read an article.
But simplicity cannot mean hiding material truth. The surface can be calm while the evidence remains available. The interface can be beautiful while the provenance is inspectable. Automation can be aggressive while authority remains explicit.
Keep it simpleRead without ceremony.Static before dynamic. Anonymous reading. Clear navigation. No account required to understand the Work.
Keep it inspectableProof stays attached.Sources, claims, relationships, receipts, machine context, revision identity, packages, and limitations remain available when they matter.
KISS, with receipts.
07 / Origin
Human authority
The person is the author. The machine is part of the system.
AI can help me research, challenge an argument, find relationships, write software, test an implementation, generate a diagram, or produce a first draft. That does not transfer authorship or accountability to the model.
SharePlane keeps the accountable human visible. It distinguishes evidence from inference, current authored position from supporting material, and implementation assistance from semantic authority.
The point is not to hide AI assistance. The point is to keep authority legible.
08 / Origin
Where GhostMesh enters
SharePlane preserves the Work. GhostMesh governs what acts around it.
Once continuity moved outside any individual model or session, the larger problem became operational: how temporary workers should receive context, exercise bounded authority, produce evidence, recover from failure, and leave the system in a state another worker can understand.
That is where the broader GhostMesh architecture begins. SharePlane is the governed public body of Work and its projections. GhostMesh is the operating architecture around durable Work, authority, evidence, state, policy, recovery, and temporary intelligence.