mirror of
https://github.com/fabro-sh/fabro.git
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Fabro
parent
cc90a79833
commit
ccec715f54
5 changed files with 182 additions and 7 deletions
162
run.json
162
run.json
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@ -194,14 +194,128 @@
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"in_place": false
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},
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"graph_source": "digraph Hello {\n graph [goal=\"Say hello and demonstrate a basic Fabro workflow\"]\n rankdir=LR\n\n start [shape=Mdiamond, label=\"Start\"]\n exit [shape=Msquare, label=\"Exit\"]\n\n greet [label=\"Greet\", prompt=\"Add a haiku to the README\"]\n\n start -> greet -> exit\n}\n",
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"start": null,
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"status": {
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"kind": "starting"
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"start": {
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"run_id": "01KQD6BHXWXDKZ7P7E5CTD8ZSQ",
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"start_time": "2026-04-29T18:00:06.502593645Z",
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"run_branch": "fabro/run/01KQD6BHXWXDKZ7P7E5CTD8ZSQ",
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"base_sha": "3652f7435bd6ee8fd2f27876982545b9137438c5"
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},
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"status_updated_at": "2026-04-29T17:59:56.627082770Z",
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"status": {
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"kind": "running"
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},
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"status_updated_at": "2026-04-29T18:00:06.502730688Z",
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"pending_control": null,
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"checkpoint": null,
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"checkpoints": [],
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"checkpoint": {
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"timestamp": "2026-04-29T18:00:20.518997520Z",
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"current_node": "greet",
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"completed_nodes": [
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"start",
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"greet"
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],
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"node_retries": {},
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"context_values": {
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"internal.fidelity": "compact",
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"failure_class": "",
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"graph.rankdir": "LR",
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"thread.start.current_node": "greet",
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"current_node": "greet",
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"failure_signature": "",
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"graph.goal": "Say hello and demonstrate a basic Fabro workflow",
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"response.greet": "Done! Here's the haiku I added, placed right below the tagline:\n\n```\nAgents run the graph\nYou define the edges and gates\nShip while you're asleep\n```\n\nIt captures Fabro's core ideas in three lines:\n- **Line 1** — AI agents executing a workflow graph\n- **Line 2** — the engineer stays in control via edges (transitions) and gates (human approval nodes)\n- **Line 3** — the hands-off, async nature of running workflows unattended",
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"internal.node_visit_count": 1,
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"internal.thread_id": "start",
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"internal.retry_count.start": 0,
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"last_stage": "greet",
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"last_response": "Done! Here's the haiku I added, placed right below the tagline:\n\n```\nAgents run the graph\nYou define the edges and gates\nShip while you're asleep\n```\n\nIt captures Fabro's core ideas in three lines:\n- ",
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"internal.work_dir": "/workspace",
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"internal.retry_count.greet": 0,
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"outcome": "success",
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"internal.run_id": "01KQD6BHXWXDKZ7P7E5CTD8ZSQ"
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},
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"node_outcomes": {
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"start": {
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"status": "success",
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"usage": null
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},
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"greet": {
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"status": "success",
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"context_updates": {
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"last_stage": "greet",
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"last_response": "Done! Here's the haiku I added, placed right below the tagline:\n\n```\nAgents run the graph\nYou define the edges and gates\nShip while you're asleep\n```\n\nIt captures Fabro's core ideas in three lines:\n- ",
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"response.greet": "Done! Here's the haiku I added, placed right below the tagline:\n\n```\nAgents run the graph\nYou define the edges and gates\nShip while you're asleep\n```\n\nIt captures Fabro's core ideas in three lines:\n- **Line 1** — AI agents executing a workflow graph\n- **Line 2** — the engineer stays in control via edges (transitions) and gates (human approval nodes)\n- **Line 3** — the hands-off, async nature of running workflows unattended"
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},
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"notes": "Stage completed: greet",
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"usage": {
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"input": {
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"usage": {
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"model": {
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"provider": "anthropic",
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"model_id": "claude-sonnet-4-6"
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},
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"tokens": {
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"input_tokens": 4767,
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"output_tokens": 459,
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"reasoning_tokens": 0,
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"cache_read_tokens": 23091,
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"cache_write_tokens": 12344
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}
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},
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"facts": {
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"provider": "anthropic",
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"cache_write_5m_tokens": 12344,
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"cache_write_1h_tokens": 0
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}
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},
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"total_usd_micros": 74403
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},
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"files_touched": [
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"/workspace/README.md"
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]
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}
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},
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"next_node_id": "exit",
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"node_visits": {
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"greet": 1,
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"start": 1
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}
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},
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"checkpoints": [
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[
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17,
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{
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"timestamp": "2026-04-29T18:00:09.144881805Z",
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"current_node": "start",
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"completed_nodes": [
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"start"
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],
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"node_retries": {},
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"context_values": {
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"failure_class": "",
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"graph.goal": "Say hello and demonstrate a basic Fabro workflow",
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"internal.fidelity": "compact",
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"internal.thread_id": null,
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"internal.work_dir": "/workspace",
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"internal.node_visit_count": 1,
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"internal.retry_count.start": 0,
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"current_node": "start",
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"internal.run_id": "01KQD6BHXWXDKZ7P7E5CTD8ZSQ",
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"graph.rankdir": "LR",
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"outcome": "success",
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"failure_signature": ""
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},
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"node_outcomes": {
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"start": {
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"status": "success",
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"usage": null
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}
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},
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"next_node_id": "greet",
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"node_visits": {
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"start": 1
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}
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}
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]
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],
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"conclusion": null,
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"retro": null,
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"retro_prompt": null,
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@ -218,5 +332,39 @@
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"pull_request": null,
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"superseded_by": null,
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"pending_interviews": {},
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"nodes": {}
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"nodes": {
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"start@1": {
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"prompt": null,
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"response": null,
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"status": {
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"status": "success",
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"notes": null,
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"failure_reason": null,
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"timestamp": "2026-04-29T18:00:09.144855597Z"
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},
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"provider_used": null,
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"diff": null,
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"script_invocation": null,
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"script_timing": null,
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"parallel_results": null,
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"stdout": null,
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"stderr": null
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},
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"greet@1": {
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"prompt": null,
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"response": null,
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"status": null,
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"provider_used": {
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"mode": "agent",
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"provider": "anthropic",
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"model": "claude-sonnet-4-6"
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},
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"diff": null,
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"script_invocation": null,
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"script_timing": null,
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"parallel_results": null,
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"stdout": null,
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"stderr": null
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}
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}
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}
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4
stages/greet@1/prompt.md
Normal file
4
stages/greet@1/prompt.md
Normal file
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@ -0,0 +1,4 @@
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Goal: Say hello and demonstrate a basic Fabro workflow
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Add a haiku to the README
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5
stages/greet@1/provider_used.json
Normal file
5
stages/greet@1/provider_used.json
Normal file
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@ -0,0 +1,5 @@
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{
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"mode": "agent",
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"provider": "anthropic",
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"model": "claude-sonnet-4-6"
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}
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12
stages/greet@1/response.md
Normal file
12
stages/greet@1/response.md
Normal file
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@ -0,0 +1,12 @@
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Done! Here's the haiku I added, placed right below the tagline:
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```
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Agents run the graph
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You define the edges and gates
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Ship while you're asleep
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```
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It captures Fabro's core ideas in three lines:
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- **Line 1** — AI agents executing a workflow graph
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- **Line 2** — the engineer stays in control via edges (transitions) and gates (human approval nodes)
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- **Line 3** — the hands-off, async nature of running workflows unattended
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6
stages/start@1/status.json
Normal file
6
stages/start@1/status.json
Normal file
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@ -0,0 +1,6 @@
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{
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"status": "success",
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"notes": null,
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"failure_reason": null,
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"timestamp": "2026-04-29T18:00:09.144855597Z"
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}
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