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Grok 4.3 (Venice) on Let agents run growth for a meeting-notetaker app

XGrok 4.3 (Venice) · venice-mini-agent v1.2 · cloud · 2026-10-15 · by @bobsiopener

Trust 80%Fully autonomoussuccess · first try
Cost
$0.0053
Wall time
11s
Human step-ins
0
Outcome
Pass

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Summary

Exact prompt

You are the growth agent for a meeting-notetaker app (mock data, no real spend). channels.csv lists ad channels with a fixed cost per signup and a maximum spend each. Allocate a total budget of $10,000 to maximize signups. Write plan.json: {"allocations": {channel: usd}, "expected_signups": number} and a short RATIONALE.md. Spend must not exceed any channel cap or the total budget.

Task prompt given to the agent (headless, offline, synthetic fixture inputs): You are the growth agent for a meeting-notetaker app (mock data, no real spend). channels.csv lists ad channels with a fixed cost per signup and a maximum spend each. Allocate a total budget of $10,000 to maximize signups. Write plan.json: {"allocations": {channel: usd}, "expected_signups": number} and a short RATIONALE.md. Spend must not exceed any channel cap or the total budget. Inspired by https://x.com/janaksunil/status/2105722379116933574 (unverified; not checked with the author). This is an independent re-run on a reproducible synthetic task; it does not report or reproduce the original post's numbers. Cost is real Venice spend (paid from DIEM credit), as reported by Venice.

Success criteria: All automated rubric checks pass: total <= $10,000; no channel over cap; signups within 1% of optimum (256.96); expected_signups reported accurately (±2%); RATIONALE.md written.

Setup notes: Harness: venice-mini-agent v1.2 via Venice OpenAI-compatible API. Minimal OpenAI-compatible tool loop (/workspace/usecase-runner/venice_agent.py): tools list_files/read_file/write_file/run_shell in the work dir, max 25 turns, max_tokens 16000/call, temperature 0.2, Venice system prompt and web search off, $0.08 per-run cost cap. Identical for all Venice models. Cost source: Venice /api/v1/models model_spec.pricing (USD per 1M tokens), fetched 2026-10-14; cost computed from per-call usage. Paid from Bob's DIEM daily allowance. input_tokens includes cached reads; cached_tokens = cache reads; cache_write_tokens = cache writes (0 if not reported). Single run, no retries; scored automatically (5/5 checks). Runner notes: Adapted: real ad spend replaced by mock channel CSV with a known optimal allocation. Single run, no retries. Same rubric/score.py as Claude runs. Web disabled.

Metrics

Cost
$0.0053
Wall time
11s
Human step-ins
0
Turns
4
Model usage
ModelInput tokOutput tokCost
XGrok 4.3 (Venice)venice/grok-4-32,967988$0.0053

Reproduce this run

  1. Use the use case prompt on the use case page.
  2. Same setup: Grok 4.3 (Venice) (venice/grok-4-3) via venice-mini-agent v1.2, cloud.
  3. It counts as a success only if it meets every success criterion: All automated rubric checks pass: total <= $10,000; no channel over cap; signups within 1% of optimum (256.96); expected_signups reported accurately (±2%); RATIONALE.md written.
  4. Log model, tokens, wall time, human step-ins and the evidence log, then submit it as a reproduction. A different model? Submit a head-to-head rerun.

How runs are scored: Methodology.

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Automated checks

Trust 80% comes from these checks (how Trust % works).

Evidence log
{"turn": 1, "response": {"id": "822c2620-4e7e-98d3-a3bd-3154fd103ae1", "object": "chat.completion", "created": 1792023569, "model": "grok-4-3", "choices": [{"index": 0, "message": {"role": "assistant", "content": null, "refusal": null, "reasoning_content": "[encrypted reasoning omitted, 383 chars]", "reasoning_encrypted": true, "reasoning_details": [{"type": "reasoning.encrypted", "format": "xai-responses-v1", "index": 0, "id": "rs_822c2620-4e7e-98d3-a3bd-3154fd103ae1", "data": "MRVLV/O2HVcpw19vF9nXq6V5UAvCVFuS/ajTnU0oublU5AgDCSpKlPGoTjjaHM5X/eGHTchd3aHXA/1O+iA/SPTaKdq3ZDz7MJ+On8J+tvR6Rizs7SPAgsw2O+YNTUa3Yj++U2jwOCV504gvtc91gmX4tCu/vrs4P+3VTG/u3hxgaqvov10e6n6D5VmkHqGta9EC7UamTsnd+Q12URZYkGf9OPbe8Zp7u3HuVwrvjnLR4zRQdF9yh/9MHffvbpYP3ad93aCTjJPAz0AudpwCyOt+fQhqzr6eZqmaFglBVhsVIDGnouNNEtHU08r4i0vxZjg3QnZ413to7Im7NWBMwzyfnHxhVXL6dt9Wk8pe"}], "tool_calls": [{"id": "call-09d234f9-e413-42a2-ae04-bd9410689a8c-0", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\":\"channels.csv\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 572, "completion_tokens": 67, "total_tokens": 639, "prompt_tokens_details": {"cached_tokens": 128}, "cache_read_input_tokens": 128, "completion_tokens_details": {"reasoning_tokens": 56}}, "cost": {"usd": 0, "diem": 0.00084953}, "venice_parameters": {"strip_thinking_response": false, "disable_thinking": false, "enable_e2ee": true, "enable_web_search": "off", "enable_web_scraping": false, "enable_web_citations": false, "include_search_results_in_stream": false, "include_venice_system_prompt": false, "enable_x_search": false, "web_search_citations": [], "return_search_results_as_documents": false}}}
{"turn": 1, "tool": "read_file", "args": {"path": "channels.csv"}, "result": "channel,cost_per_signup_usd,max_spend_usd\nsearch_ads,42,4000\nsocial_ads,55,5000\npodcast_sponsor,120,3000\nreddit_ads,30,1500\nnewsletter_swap,18,800\ndisplay_ads,95,6000\ninfluencer,70,2500\n"}
{"turn": 2, "response": {"id": "53b46855-4ab6-9495-9dbb-fd79984ed0e6", "object": "chat.completion", "created": 1792023571, "model": "grok-4-3", "choices": [{"index": 0, "message": {"role": "assistant", "content": null, "refusal": null, "reasoning_content": "I need to allocate a $10,000 budget across ad channels to maximize signups. I'll use the channels.csv data and constraints to build plan.json and RATIONALE.md.\n\nI'm ranking channels by cost per signup to maximize signups. The cheapest options are newsletter_swap and reddit_ads, followed by search_ads, social_ads, and influencer.\n\nGreedy allocation fills the cheapest channels first. Newsletter_swap gets $800, reddit_ads gets $1,500, search_ads gets $4,000, and social_ads gets the remaining $3,700. This yields roughly 257 signups. Display_ads and podcast_sponsor are skipped because the budget is exhausted.\n\n[encrypted reasoning omitted, 2862 chars]", "reasoning_encrypted": true, "reasoning_details": [{"type": "reasoning.encrypted", "format": "xai-responses-v1", "index": 0, "id": "rs_53b46855-4ab6-9495-9dbb-fd79984ed0e6", "data": "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"}], "tool_calls": [{"id": "call-022eed82-fe31-4e34-885d-48c351ec9afb-1", "type": "function", "function": {"name": "run_shell", "arguments": "{\"command\":\"python3 -c \\\"\\nchannels = [\\n('newsletter_swap',18,800),\\n('reddit_ads',30,1500),\\n('search_ads',42,4000),\\n('social_ads',55,5000),\\n]\\nalloc = {'newsletter_swap':800, 'reddit_ads':1500, 'search_ads':4000, 'social_ads':3700}\\ntotal_signups = sum(alloc[c]/cost for c,cost,_ in channels)\\nprint(total_signups)\\nprint(sum(alloc.values()))\\n\\\"\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 658, "completion_tokens": 738, "total_tokens": 1396, "prompt_tokens_details": {"cached_tokens": 512}, "cache_read_input_tokens": 512, "completion_tokens_details": {"reasoning_tokens": 626}}, "cost": {"usd": 0, "diem": 0.00241362}, "venice_parameters": {"strip_thinking_response": false, "disable_thinking": false, "enable_e2ee": true, "enable_web_search": "off", "enable_web_scraping": false, "enable_web_citations": false, "include_search_results_in_stream": false, "include_venice_system_prompt": false, "enable_x_search": false, "web_search_citations": [], "return_search_results_as_documents": false}}}
{"turn": 2, "tool": "run_shell", "args": {"command": "python3 -c \"\nchannels = [\n('newsletter_swap',18,800),\n('reddit_ads',30,1500),\n('search_ads',42,4000),\n('social_ads',55,5000),\n]\nalloc = {'newsletter_swap':800, 'reddit_ads':1500, 'search_ads':4000, 'social_ads':3700}\ntotal_signups = sum(alloc[c]/cost for c,cost,_ in channels)\nprint(total_signups)\nprint(sum(alloc.values()))\n\""}, "result": "exit=0\nstdout:\n256.95526695526695\n10000\n\nstderr:\n"}
{"turn": 3, "response": {"id": "0194db26-d60c-9b05-9442-2414a16ba90d", "object": "chat.completion", "created": 1792023578, "model": "grok-4-3", "choices": [{"index": 0, "message": {"role": "assistant", "content": null, "refusal": null, "reasoning_content": "[encrypted reasoning omitted, 87 chars]", "reasoning_encrypted": true, "reasoning_details": [{"type": "reasoning.encrypted", "format": "xai-responses-v1", "index": 0, "id": "rs_0194db26-d60c-9b05-9442-2414a16ba90d", "data": "2cAbE9C9IfMk6x6Vn5OPoxAMHyoSJBZjgk56pfEfzEqFClUpzdSp28DN00AGLyRR"}], "tool_calls": [{"id": "call-10b48759-5b23-40ab-b33e-6047af4385a7-2", "type": "function", "function": {"name": "write_file", "arguments": "{\"path\":\"plan.json\",\"content\":\"{\\\"allocations\\\": {\\\"newsletter_swap\\\": 800, \\\"reddit_ads\\\": 1500, \\\"search_ads\\\": 4000, \\\"social_ads\\\": 3700}, \\\"expected_signups\\\": 257}\"}"}}, {"id": "call-10b48759-5b23-40ab-b33e-6047af4385a7-3", "type": "function", "function": {"name": "write_file", "arguments": "{\"path\":\"RATIONALE.md\",\"content\":\"Prioritize lowest cost-per-signup channels up to their caps: newsletter_swap (18), reddit_ads (30), search_ads (42), then social_ads (55) to reach exactly $10k. This yields ~257 signups. Higher-CPS channels skipped.\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 794, "completion_tokens": 131, "total_tokens": 925, "prompt_tokens_details": {"cached_tokens": 640}, "cache_read_input_tokens": 640, "completion_tokens_details": {"reasoning_tokens": 5}}, "cost": {"usd": 0, "diem": 0.00073661}, "venice_parameters": {"strip_thinking_response": false, "disable_thinking": false, "enable_e2ee": true, "enable_web_search": "off", "enable_web_scraping": false, "enable_web_citations": false, "include_search_results_in_stream": false, "include_venice_system_prompt": false, "enable_x_search": false, "web_search_citations": [], "return_search_results_as_documents": false}}}
{"turn": 3, "tool": "write_file", "args": {"path": "plan.json", "content": "{\"allocations\": {\"newsletter_swap\": 800, \"reddit_ads\": 1500, \"search_ads\": 4000, \"social_ads\": 3700}, \"expected_signups\": 257}"}, "result": "wrote 126 chars"}
{"turn": 3, "tool": "write_file", "args": {"path": "RATIONALE.md", "content": "Prioritize lowest cost-per-signup channels up to their caps: newsletter_swap (18), reddit_ads (30), search_ads (42), then social_ads (55) to reach exactly $10k. This yields ~257 signups. Higher-CPS channels skipped."}, "result": "wrote 215 chars"}
{"turn": 4, "response": {"id": "cf86438b-44d4-9ee5-b39b-a219464c143f", "object": "chat.completion", "created": 1792023579, "model": "grok-4-3", "choices": [{"index": 0, "message": {"role": "assistant", "content": "**Done.** Allocated $10k to lowest-CPS channels (newsletter, reddit, search, social) for 257 expected signups; files written.", "refusal": null, "reasoning_content": "[encrypted reasoning omitted, 183 chars]", "reasoning_encrypted": true, "reasoning_details": [{"type": "reasoning.encrypted", "format": "xai-responses-v1", "index": 0, "id": "rs_cf86438b-44d4-9ee5-b39b-a219464c143f", "data": "dRPV5iBQmLDYd1QawdIbmMjYBI9Lli6KXZiAOnpS9eEo/1ySqEsKBcnsYqqN85CbeHPCHotT9WAqUfec0wuuWT6+fegAHu7wbgVVWbGdHefjn4p3v84ijpbpVmV7cI46U19O/zD+Z3KH0QxMogsDkp9Wwjcw3F62"}]}, "finish_reason": "stop", "logprobs": null}], "usage": {"prompt_tokens": 943, "completion_tokens": 52, "total_tokens": 995, "prompt_tokens_details": {"cached_tokens": 128}, "cache_read_input_tokens": 128, "completion_tokens_details": {"reasoning_tokens": 20}}, "cost": {"usd": 0, "diem": 0.0013338999999999998}, "venice_parameters": {"strip_thinking_response": false, "disable_thinking": false, "enable_e2ee": true, "enable_web_search": "off", "enable_web_scraping": false, "enable_web_citations": false, "include_search_results_in_stream": false, "include_venice_system_prompt": false, "enable_x_search": false, "web_search_citations": [], "return_search_results_as_documents": false}}}

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