From Pixels to Club Physics: An Evidence-Bounded Architecture for Monocular Golf-Club Pose, Kinematics, and Training Data
What a phone camera can tell us about a golf club—and where physical measurement needs more evidence.
18 min readRead
Ask better questions.
Show the working.
Methods, experiments, and technical reviews. Read the findings alongside their assumptions, evidence, and limitations.
Recipe, Not Architecture: Three "Failed" Sign-Recognition Models Recover Under Per-Architecture Training
Three sign-recognition models recovered when the training recipe changed. A closer look at what model comparisons actually measure.
12 min readRead
The Honest Ceiling on Landmark-Only Isolated-Sign Recognition: A Signer-Holdout Audit
An audit of sign recognition on unseen signers, with multiple seeds and explicit limits on what the results establish.
13 min readRead
Signer-Dialect Robustness in Landmark-Only Sign Recognition: A 21-Fold Leave-One-Signer-Out Study
Why one average accuracy score can conceal very different experiences across 21 signers.
14 min readRead
Real-Time Computer Vision for Bounded-Court Scoring: Architecture, Tradeoffs, and Production Lessons
Real-time scoring of physical-object sports requires a computer vision pipeline that can simultaneously satisfy constraints from three domains: inference latency (sub-35ms end-to-end), detection reliability (>99% on custom domain data), and commercial licensing (Apache 2.0 for network-service deployments).
14 min readRead
Data-Centric CV Pipeline Engineering: Lessons from 15 Training Iterations on a Custom 3-Class Detection Domain
Generic computer vision model fine-tuning treats dataset construction as secondary to architecture selection.
15 min readRead
Cost-per-Artifact Curves Across Claude Model Tiers (Opus 4.7 / Sonnet 4.6 / Haiku 4.5)
Selecting the right Claude model tier for a given artifact type is the single highest-impact cost decision an operator makes in an agent-mediated workflow.
12 min readRead
Sprint Contract Overrun: Updated Causal Taxonomy from 80+ Cross-Venture Sprints
TPL-2026-005 established that sprint-contract discipline reduces overrun rates in solo-operator agent-mediated work (median overrun 78% → 12%).
13 min readRead
Brief-Drift Detection in Long Agent Sessions: An Empirical Audit of Self-Diagnostic Reliability
Long agent sessions (those exceeding two hours of continuous operation) accumulate a characteristic failure pattern we term brief-drift: the gradual divergence of agent behavior from its original operator-specified constraints, without any single identifiable failure event.
12 min readRead
Same Task, Three Harnesses: A Throughput-Quality-Cost Benchmark of Claude Code, Codex, and Cursor on a Multi-Stage CV Pipeline Task
We report a case study (n=1 task, three agent harnesses, single operator) comparing Claude Code, OpenAI Codex CLI, and Cursor on the construction of a multi-stage computer-vision evaluation pipeline.
16 min readRead
Detecting Eval-Train Overlap in Production CV Pipelines: A Lightweight Audit Protocol
Computer vision systems shipped to production frequently report misleading evaluation metrics due to undetected overlap between training and held-out eval data.
14 min readRead
Long-Context vs Targeted Retrieval for Compliance Drafting: An SBA Loan Packet Case Study
Modern long-context language models (1M-token windows) make it tempting to load an entire reference corpus and draft against it; the implicit premise is that more context is always better when accuracy matters.
12 min readRead
Information-Loss Curves Across Multi-Agent Handoff Chains
Operators increasingly compose work as a chain of specialized LLM agents: a routing agent dispatches to a planning agent which delegates to a coding agent which calls a review agent.
13 min readRead
Multi-Stage Fallback in Real-Time Computer Vision: A Methodology Study
Real-time computer vision systems that must operate under latency constraints face a tension between detection accuracy and inference speed.
14 min readRead
A 7-Class Failure Taxonomy for ASR-Glasses Coordination in AR Research Sprints
Parley is an AR-glasses product for bidirectional deaf/hearing conversation; the research arm is in Phase-0/1 Kaggle-published exploration and the consumer hardware (Everysight Maverick AI) has not yet shipped.
13 min readRead
Provisional Patent Draft Accuracy: Measured Rework Rates vs Human Baseline
LLM-assisted provisional patent drafting promises faster cycle time at the inventor-startup phase, but the question for operators is how much of the LLM draft survives attorney review.
12 min readRead
Plan-Mode Efficacy on Time-to-Merge: A Cross-Venture Study (n=42 tasks)
Plan mode, the agent-harness convention of producing and approving a written implementation plan before any code is written, is widely advocated as a discipline for non-trivial coding work, but its quantitative effect on time-to-merge has rarely been measured outside anecdote.
12 min readRead
Postmortem-Driven SOP Effectiveness: A 6-Month Recurrence Audit
Blameless postmortems are widely advocated as a structural-learning discipline, but their effectiveness depends on whether action items reach the mechanical layer (gates, hooks, contract criteria) rather than remaining as discipline-only commitments.
10 min readRead
Real-Estate Site-Search Automation: Hours-Saved and Filter-Accuracy in a Pre-Launch Venue Search
Pre-launch entertainment-venue site searches are constrained by an unusual cocktail of filters: zoning compatibility, square-footage and ceiling-height fit, ABC-license geography (in NC, alcohol licensing depends on municipal jurisdiction and proximity to schools/churches), and proximity to demand.
12 min readRead
The Sprint Contract Effect: Measuring Overrun Reduction in Solo-Operator Engineering
Solo operators running agent-mediated engineering work routinely overrun sprint estimates by 50-200% of the originally scoped time.
11 min readRead
Sub-agent ROI: When Spawning Pays Back and When It Doesn't
Sub-agent invocation (spawning a child agent to handle a bounded subtask) is increasingly common in solo-operator AI workflows, yet the conditions under which it produces a net benefit remain poorly characterized.
13 min readRead
Token Economics of Agent-Mediated Engineering: Per-Artifact Cost Distributions
Operators running agent-mediated engineering workflows routinely lack visibility into the per-artifact token cost of shipped work, treating the monthly API bill as a single aggregate figure.
12 min readRead