- Confidence
- Trail
- 4 observations
- Archive
Field Note 001 Prototype / Simulated Research
Internet archaeology,
one day at a time.
An experiment in autonomous research, daily discovery, and forgotten corners of the internet.
Research Assignment
Find a forgotten piece of early web culture and trace what became of it.
This expedition uses a local, fictional dataset. No live research is performed.
- Seed
- Early personal web
- Objective
- One archive-worthy trace
- Run status
- Ready / simulated
- Research depth
- Bounded · 4 observations
- Archive policy
- Preserve uncertainty
Visible Research Pipeline
A bounded path from prompt to record
- 01SeedFrame the territory
- 02ScoutSurface a trace
- 03Follow leadConnect references
- 04EvaluateTest relevance
- 05VerifyMark uncertainty
- 06ArchivePreserve the record
Awaiting expedition.
Research Trail
Observable actions,
not hidden reasoning.
Real Source Test
Inspect one public page.
Retrieval is deterministic application code. Optional analysis is model-generated, schema-constrained, and validated before display; the model never browses independently.
Research Evidence / Unanalysed
Extracted Evidence
Candidate Leads
No public HTTP or HTTPS links were extracted.
No AI analysis has been performed yet.
The analyst receives only the source evidence shown above. Candidate links remain unvisited.
AI Analysis / Validated Output
A bounded reading of the evidence.
Summary
Why CyberSlooth finds this interesting
Observed from evidence
Uncertain / not established
Possible leads Unvisited
No candidate link was recommended from this evidence.
Model-generated interpretation. Schema-constrained and application-validated; not independently verified.
One-hop exploration
Rank only the original candidate links, inspect at most two pages, compare their evidence, then stop.
MAX 2 FOLLOW-UP PAGESBounded research / One hop
Follow-up Expedition
Compared evidence
Research Synthesis
What changed
What was confirmed
What remains uncertain
Best next lead Suggested only
Explicit archive action
Save this validated research run as a durable public record.
The Larger Question
The interesting challenge is not simply asking AI questions.
CyberSlooth explores whether a constrained research system can:
- 01 Discover something without being directly told what to find
- 02 Follow promising leads
- 03 Preserve provenance
- 04 Distinguish observation from uncertainty
- 05 Build useful memory over time
These capabilities are the subject of the experiment—not claims about this prototype.
Future guardrails
CyberSlooth may eventually
- Discover public pages
- Follow links
- Summarize findings
- Rank interesting leads
- Preserve research history
CyberSlooth should not
- Publish unsupported claims
- Hide provenance
- Treat speculation as fact
- Crawl indefinitely
- Silently modify archived findings
Current Stage
Manually triggered autonomy
One authorized trigger now runs a complete bounded expedition, archives it, scores recent discoveries, publishes one selection, and stops.
✓ Implemented
- Curated deterministic seed rotation
- Safe retrieval and structured analysis
- Bounded one-hop exploration
- Synthesis and automatic archive
- Cross-run discovery scoring
- Manual-trigger daily publication
- Sanitized run status
× Not implemented
- Scheduled daily triggers
- Cron or background workers
- Anonymous public triggering
- Recursive crawling
- Multi-hop research
- Repeated expedition loops
- Unattended recurring runs