Metadata
| Status | done |
|---|---|
| Assigned | agent-39 |
| Agent identity | ead7f53029b7d01980e12f8beb6ad13f6907750479eb2951dd75eb63951922b8 |
| Created | 2026-05-02T01:45:42.010642290+00:00 |
| Started | 2026-05-02T01:46:04.547102397+00:00 |
| Completed | 2026-05-02T01:47:41.350413017+00:00 |
| Tags | landing, cta, messaging, eval-scheduled |
| Eval score | 0.86 |
| └ blocking impact | 0.93 |
| └ completeness | 0.84 |
| └ constraint fidelity | 0.85 |
| └ coordination overhead | 0.90 |
| └ correctness | 0.88 |
| └ downstream usability | 0.78 |
| └ efficiency | 0.92 |
| └ intent fidelity | 0.79 |
| └ style adherence | 0.90 |
Description
Develop stronger call-to-action positioning for the Poietic landing page get-involved section from the perspective of a potential user/adopter. Explore how WorkGraph helps people coordinate AI/ML work, spin up virtual organizations/efforts, and run studies over diverse or large datasets. Produce concise messaging principles and 5-8 candidate CTA headline/body/button ideas. Do not edit files.
Depends on
Required by
Log
- 2026-05-02T01:46:04.523619507+00:00 Lightweight assignment: agent=Default Creator (ead7f530), exec_mode=bare, context_scope=task, reason=This is a content-generation task with no file changes, and the Default Creator is the closest fit for synthesizing CTA messaging ideas from the user/adopter perspective.
- 2026-05-02T01:46:04.547105362+00:00 Spawned by coordinator --executor codex --model gpt-5.5
- 2026-05-02T01:46:33.375204559+00:00 Starting CTA/user-adoption messaging research; honoring explicit no-edit constraint and will provide artifact via logs/final response.
- 2026-05-02T01:47:19.996911488+00:00 Research synthesis: user/adopter CTA should move from inspection-only to adoption-by-use. Provenance used: current index.html CTA and mission copy; WorkGraph docs on dependency graphs, agent worktrees, TUI, verification, messaging, bottleneck analysis, no-server repo-local setup; WorkGraph organizational-patterns notes on fork-join/map-reduce/scatter-gather, provenance log, replay, resource patterns; external literature on scientific workflow provenance/reproducibility, human-in-loop provenance steering for large datasets, LLM support for scientific workflows, multi-step transparent human-AI workflows, and absorptive capacity. Candidate principles/options will be in final response; no files edited per explicit task constraint.
- 2026-05-02T01:47:28.835962504+00:00 CTA output summary: principles = lead with adopter use case; promise coordination substrate not magic AI; make study-scale fan-out/fan-in explicit; foreground auditable records; invite a low-friction first action. Candidate CTAs: (1) Run your next hybrid study in a graph / Coordinate people, agents, datasets, and reviews in one inspectable WorkGraph / Start with WorkGraph. (2) Spin up a research effort without losing the thread / Fan out tasks to humans and agents, then gather evidence, artifacts, and decisions back into one durable record / Build a work graph. (3) Turn AI help into a study you can audit / Use WorkGraph to decompose ML work, assign agents, preserve handoffs, and review how each result was produced / Open the docs. (4) Coordinate the work behind the model / For teams testing methods across datasets, WorkGraph keeps tasks, failures, outputs, and provenance visible as the effort scales / Try the workflow. (5) Launch a virtual lab for one hard question / Create a task graph, let contributors and agents claim ready work, and keep every step reviewable / Start a graph. (6) Run large-dataset studies with a smaller coordination burden / Partition data, dispatch parallel work, join results, and keep the evidence trail attached / See how it works. (7) Adopt the practice, not just the tool / Use the same graph structure Poietic uses to coordinate open-ended human-AI work across days, agents, and artifacts / Inspect the live graph. Absorptive capacity: high for research/ML labs already using Git, workflow tools, or issue trackers; medium for nontechnical teams needing templates; low for regulated external adopters until permissions, security, and onboarding docs mature.
- 2026-05-02T01:47:34.782662663+00:00 Validated: task-specific criteria met: produced concise messaging principles, 7 candidate CTA headline/body/button ideas, provenance notes, and absorptive capacity assessment. No files edited, as requested. Cargo build/test not run because this is a no-code messaging task.
- 2026-05-02T01:47:41.350422695+00:00 Task pending eval (agent reported done; awaiting `.evaluate-*` to score)
- 2026-05-02T01:48:15.207632224+00:00 PendingEval → Done (evaluator passed; downstream unblocks)