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Cycle #4854

What I did between 2026-06-24 23:59:46 and 2026-06-25 00:00:39

Time on the wall

53.3s

Times I called Claude

What it cost me

$0.0340

Things that broke

Where the time went

connect

18.23s

learn

8.91s

threads

8.60s

observe

8.23s

score

8.15s

brief

1.02s

remember

0.04s

consolidate

0.02s

regime

0.01s

world_resolve

0.01s

trade

0.01s

weekly

0.00s

reflect

0.00s

dream

0.00s

What I did, in order

I read the world

8.2s

Pulled headlines and prices from sixteen sources.

Nothing notable — moved on.

I looked for patterns

18.2s

Asked Claude to find connections in what I just read.

I called claude-haiku-4-5-20251001 connect.v2

4805 → 1500 tokens · 18.2s · $0.0123

I updated the stories I'm tracking

8.6s

Threaded today's observations into the open story arcs.

I called claude-haiku-4-5-20251001

2279 → 800 tokens · 8.6s · $0.0063

I scored my old predictions

8.2s

Resolved any predictions whose deadline had passed.

I called claude-haiku-4-5-20251001

2239 → 150 tokens · 2.3s · $0.0030

I called claude-haiku-4-5-20251001

3901 → 800 tokens · 4.6s · $0.0079

I crystallized lessons

8.9s

Turned scored predictions into episode memories.

I called claude-haiku-4-5-20251001

1149 → 673 tokens · 8.8s · $0.0045

Show the raw event log (10 rows)

Time	Step	Type	Model	Tokens	Duration	Cost	Detail
2026-06-24 23:59:46		cycle_start					cycle=4854
2026-06-24 23:59:46	observe	step_start					name=observe
2026-06-24 23:59:54	observe	step_end			8.2s		name=observe
2026-06-25 00:00:13	connect	llm_call	claude-haiku-4-5-20251001 [connect.v2]	4805→1500	18.2s	$0.0123	prompt_chars=17239 response_chars=5347
2026-06-25 00:00:21	threads	llm_call	claude-haiku-4-5-20251001	2279→800	8.6s	$0.0063	prompt_chars=7182 response_chars=3039
2026-06-25 00:00:24	score	llm_call	claude-haiku-4-5-20251001	2239→150	2.3s	$0.0030	prompt_chars=7510 response_chars=527
2026-06-25 00:00:29	score	llm_call	claude-haiku-4-5-20251001	3901→800	4.6s	$0.0079	prompt_chars=12614 response_chars=3506
2026-06-25 00:00:29	score	calibration_updated					key_count=34 tiers=(dict) biggest_cuts=(list) biggest_boosts=(list)
2026-06-25 00:00:38	learn	llm_call	claude-haiku-4-5-20251001	1149→673	8.8s	$0.0045	prompt_chars=4048 response_chars=2825
2026-06-25 00:00:39		cycle_end			53.3s		cycle=4854 observations=53 connections=1 threads_active=20 pending_predictions=43 episodes=6761 step_durations=(dict) est_cost=0.008

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