findings

104 insights derived from 4,656 threads, 208,799 messages, 20 users across 9 months.

synthesis

7 insights

user behavior

7 insights

patterns

89 insights

T3

AGENTS MD FINAL

synthesized from analysis of 4,656 threads, 208,799 messages, 1,434 steering events, 2,050 approval events.

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agent compliance

analysis of how often agent follows explicit user instructions across 500 threads (4656 available).

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agent personality

synthesis from 4,656 threads, 23,262 messages, analyzing what agent behaviors succeed and fail.

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agents md recommendations

synthesized from analysis of 4,281 threads, 208,799 messages, 901 steering events, 2,050 approval events.

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anti patterns catalog

consolidated reference of agent anti-patterns from 4,656 thread analysis.

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approval maximization

distilled from 4,656 threads, 208,799 messages. focus: what AGENT BEHAVIORS (not user behaviors) correlate with approval.

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approval triggers

analysis of what assistant actions precede user APPROVAL messages.

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assistant brevity

Medium-length responses (500-1k chars) get the best approval and resolution rates.

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behavioral nudges

gentle interventions an agent can make during conversation to improve thread outcomes. derived from analysis of 4,656 amp threads.

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best practices poster

Top 10 best practices for amp agent success based on analysis of 4,656 threads.

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closing rituals

analysis of final user messages in 2,375 successfully closed threads (2,070 RESOLVED + 305 COMMITTED).

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code quality signals

analysis of 4,656 threads for lint errors, type errors, test failures and their correlation with outcomes.

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commit patterns

what distinguishes threads that reach `COMMITTED` status?

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collaboration intensity

messages per hour calculated as `num_turns / (updated - created)` duration in hours.

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common mistakes

derived from analysis of 4,656 amp threads. focuses on user-side patterns that correlate with lower resolution rates, higher steering, or frustrated o

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comparative benchmarks

performance thresholds derived from 4,656 thread analysis. use to evaluate thread quality and user behavior.

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complexity estimation

analysis of 4,281 threads to predict thread complexity (length, steering) from first message features.

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context anchors

threads that explicitly reference prior work via:

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context density

analysis of what constitutes dense, effective context in thread openers.

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context window

estimated tokens derived from `char_len / 4` — rough approximation.

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conversation dynamics

transition matrix built from 23,262 labeled messages across ~4,656 threads.

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conversation templates

templates for common task types, derived from analysis of 4,656 threads. optimized for the patterns that correlate with resolution.

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counter intuitive

patterns from 4,656 threads that contradict common assumptions about human-AI collaboration.

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debug patterns

analysis of 678 threads containing debug, fix, or bug keywords.

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domain expertise

analysis of unique vocabulary per user reveals distinct domain territories.

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error analysis

analysis of error patterns in assistant messages from threads.db

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early warning

analysis of 4,656 threads (14 FRUSTRATED, 1 STUCK) to identify earliest predictors of thread breakdown.

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expletive analysis

analysis of user messages containing expletives (fuck, damn, wtf, hell, shit) across amp threads. investigates frustration triggers and patterns.

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failure autopsy

analysis of 14 threads labeled FRUSTRATED. pattern extraction for breakdown points.

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first message patterns

analysis of 4,281 threads with first user messages.

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frustration signals

a production-ready detection system for identifying user frustration in amp threads, derived from analysis of 4,656 threads (14 FRUSTRATED, 1 STUCK).

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git patterns

git patterns

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golden examples

golden examples: 10 perfect threads

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handoff network

handoff network analysis

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handoff chains

handoff chains analysis

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imperative analysis

imperative analysis: user message verbs and outcomes

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implementation roadmap

implementation roadmap

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instruction echo

instruction echo analysis

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language patterns

language patterns: phrases that predict success vs failure

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learning curves

learning curves: user evolution analysis

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length analysis

thread length analysis by outcome

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measurement framework

MEASUREMENT FRAMEWORK

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memorable quotes

memorable quotes from frustrated threads

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message brevity

analysis of 208,799 messages across 4,281 threads.

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midnight analysis

deep dive on late night threads which showed 60.4% resolution rate—nearly double the evening rate.

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multi file edits

analysis of 3,312 threads with file editing operations (71% of 4,656 total threads).

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negative examples

analysis of threads with FRUSTRATED status or high steering counts (>5). documents what went wrong and lessons le@swift_solverd.

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open questions

the analysis is extensive (4,656 threads, 208,799 messages, ~100 insight files) but significant gaps remain. organized by severity.

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opening words

analysis of first 3 words from 4,281 user thread openers. correlates opening patterns with thread outcomes (message count, tool usage).

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oracle timing

analyzed oracle mentions in assistant messages across 757 threads that invoked the oracle tool.

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persistence analysis

what distinguishes threads that persist through difficulty vs those that abandon?

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plan vs execute

analyzed 3488 threads for whether they start with planning/discussion or jump straight to execution.

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positive examples

analysis of 20 best-performing threads: high-outcome (COMMITTED), zero steering interventions.

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pre thread checklist

simple yes/no checklist before starting an amp thread.

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prompting styles

analyzed 4281 threads with first user messages.

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question analysis

analysis of 4,600 QUESTION-labeled messages across threads.

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quick wins

ranked by effect size × ease of implementation.

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recovery patterns

analysis of 552 threads that received STEERING corrections but ended RESOLVED.

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refactoring patterns

analysis of 245 threads containing refactor, migrate, or upgrade in titles.

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retro questions

structured questions for teams to discuss in retrospectives, organized by theme. each question is grounded in analysis of 4,656 threads.

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sentence starters

extracted first 5 words of user openers, grouped by thread outcome.

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shortcut patterns

analysis of high-steering threads to identify agent behaviors users actively reject.

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signal strength ranking

predictive power for thread resolution, ranked by effect size and reliability.

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skill recommendations

based on analysis of 4,656 threads across amp users.

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skill usage

searched for load the skill and use the skill patterns across 4656 threads in threads.db.

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spawn vs inline

analysis of 4,656 amp threads comparing threads that spawn subtasks via Task tool or tmux versus threads that stay inline.

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steering deep dive

analysis of 1,434 steering messages across 23,262 user messages in the corpus.

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steering taxonomy

complete classification of steering behaviors observed in 1,434 steering messages across 23,262 user messages.

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success patterns

analysis of 2375 successful threads (RESOLVED + COMMITTED) vs 14 frustrated threads.

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task delegation

analysis of 4,656 threads from amp usage data.

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team patterns

extracted from 4,656 threads across 18 users.

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testing patterns

analysis of test-related thread patterns from threads.db.

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thread flow

analysis of 4,281 threads (208,799 messages) examining structural patterns that correlate with outcomes.

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thread grading rubric

grading system for amp thread quality. A-F scale derived from 4,656 thread analysis.

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thread lifecycle

analysis of 4,656 threads mapping the typical lifecycle of successful vs failed threads.

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thread titles

analysis of 4,656 thread titles across outcome categories.

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threading depth

Analysis of thread spawning patterns, chain depths up to 72, and orphan rates.

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time analysis

analysis of 4,656 threads spanning 2025-05-12 to 2026-01-08 (~8 months)

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tomorrow actions

prioritized for immediate impact. do these before anything else.

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tool chains

extracted from 4,656 threads, 168,640 tool sequences.

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tool patterns

analysis of 185,537 assistant messages across 4,259 threads.

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topic clusters

keyword clustering on 4656 threads (excluding Untitled).

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training curriculum

Evidence-based 4-week onboarding program for amp users distilled from thread analysis.

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verification gates

threads that verify before declaring done (test runs, reviews, build checks) vs threads that don't.

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vocabulary analysis

Extracted from user messages in threads.db.

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web research human ai

web research synthesis on effective prompting styles, correction patterns, and how users learn to work with AI.

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web research nlp

research compiled from academic sources and industry practices.

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web research personality

web research findings for amp thread analysis project.

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weekend analysis

investigating why weekend threads show +5.2pp higher resolution rates (48.9% vs 43.7%)

meta

1 insights