@kontextmind/kxm
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KXM local-first multi-agent orchestration and operator dashboard
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Markdown
schema: "kxm.doc.v1"
id: "RES-0001"
type: "research"
title: "Research: <topic or spike question>"
project: "kxm"
status: "draft" # draft | in_review | approved | superseded | archived
owner: "@owner"
created: "2026-09-08"
updated: "2026-09-08"
authority: "hypothesis" # policy | instruction | evidence | hypothesis
confidence: "uncertain" # verified | probable | uncertain
summary: "The specific architectural or operational decision this research enables."
tags: []
related: []
details:
research_status: "planned"
target_decision_date: "2026-09-15"
# Research: <Research topic / spike question>
## Decision to enable
- **Pending Decision:** <What exact architectural, model routing, or product decision depends on this investigation?>
- **Decision Owner:** <Who has authority to accept or reject the findings?>
- **Constraints & Guardrails:** <Budget limits, latency thresholds, security boundaries>
## Questions and falsifiable hypotheses
- **Primary Question:** <What are we trying to discover or prove?>
- **Hypothesis 1:** <Clear assertion that can be empirically verified or falsified>
- **Falsification Condition:** <What exact result or metric will prove this hypothesis wrong?>
## Methodology and verification setup
```mermaid
flowchart LR
Define[Define Hypotheses] --> Bounds[Set Cost & Scope Bounds]
Bounds --> Collect[Gather Empirical Evidence]
Collect --> Trial[Run Controlled Side-by-Side Trials]
Trial --> Evaluate[Analyze Telemetry & Rework]
Evaluate --> Recommend[Produce Actionable Recommendation]
```
*Methodology flow: Establish bounds, execute reproducible trials, analyze telemetry metrics, and recommend concrete next actions.*
- **Harness & Model Arms:** <List evaluated routes, for example native `grok` versus `pi` with an OpenRouter model>
- **Test Fixture / Workload:** <Exact repository task or test suite executed>
- **Budget Ceiling:** <Maximum dollar or token limit for this spike>
## Evidence register
| Evidence ID | Claim / Finding | Source Artifact / Telemetry Run | Version / Date | Confidence |
|---|---|---|---|---|
| EV-01 | <Empirical claim> | `artifact:.kxm/logs/telemetry.jsonl@sha256:...` | 2026-09-08 | verified |
| EV-02 | <Model behavior observation> | `<run-id>` transcript | 2026-09-08 | probable |
## Option comparison matrix
| Evaluation Criterion (example values) | Weight | Option A (e.g., Native) | Option B (e.g., Wrapper) | Measured Evidence |
|---|---|---|---|---|
| Verification Pass Rate | High | 84.0% | 40.0% | EV-01 |
| Latency P50 | Medium | 187s | 284s | EV-01 |
| Cost per Successful Run | High | $0.20 | $1.03 | EV-01 |
| Rework Rate | High | 68% | 100% | EV-01 |
## Findings and distinctions
### Verified observations (backed by evidence IDs)
- <Direct observation referencing EV-xx>
### Inferences and working hypotheses
- <Reasoning or extrapolation; clearly separated from hard evidence>
### Unresolved unknowns
- <Gaps that remain uncertain or could not be measured>
## Recommendation and revisit conditions
- **Recommended Course of Action:** <Specific choice or architectural pattern>
- **Rationale:** <Direct connection between evidence and decision>
- **Revisit When:** <Trigger conditions, such as new vendor model release, 20% price drop, or quota exhaustion>