Taskek Blog
3 min reading time
#ai project management
#automation
#productivity
#task generation
#workflow

AI Project Management: Plan Faster with Taskek

AI should be a co‑pilot, not a ticket factory. In Taskek, the AI Assistant sits where work already happens—your Draw Board, Docs, and Kanban Boards—so planning moves from messy notes to clear tasks with owners, acceptance criteria, and realistic next steps.

High‑impact uses (that survive real‑world teams)

  • Backlog seeding: Paste raw meeting notes; AI proposes epics, stories, and priorities.
  • Spec scaffolding: Draft Goals, Non‑Goals, Risks, Dependencies, and Acceptance Criteria inside a Doc.
  • Whiteboard handoff: Summarize clusters on Draw Board, then convert shapes → tasks and add AI‑suggested subtasks.
  • Thread TL;DR: Summaries on long comment chains with Comments & Mentions.
  • Status updates: Natural‑language sprint recaps pulled from task activity.

A 10‑minute sprint‑planning recipe

  1. Collect inputs: Drop notes + screenshots into a Doc linked to your board.
  2. Ask AI: “Summarize goals, constraints, and top risks. Output as H2s.”
  3. Shape work: On Draw Board, sketch the critical path; Convert the winning path to tasks.
  4. Enrich: “For each task, propose 3–5 subtasks and AC. Keep scope to 1 sprint.”
  5. Assign: Use mentions to tag owners and add due dates inline.
  6. Reality check: “Flag tasks missing dependencies or unclear outcomes.”

Prompt patterns that work

  • Backlog from notes: “Create epics and stories from this transcript. Include short AC in Gherkin style.”
  • Risk sweep: “List risks by probability × impact. Suggest one mitigation per risk.”
  • Status TL;DR: “Summarize changes since Monday with blockers and next actions, < 150 words>.”

Governance that keeps quality high

  • Keep AI output human‑reviewed; promote only what you’ll actually ship.
  • Store Decision Log lines in the Doc (“2025‑10‑11 — cut scope to mobile”).
  • Use labels for “Needs Spec,” “Needs Review,” and convert unresolved comments into tasks before closing.

Metrics to watch

  • Planning time (target −30%).
  • AI acceptance rate (AI‑generated tasks kept ÷ proposed).
  • Rework after QA (should drop as AC quality rises).

AI doesn’t replace judgment; it compresses time to clarity. When your map, plan, and delivery artifacts live together, AI accelerates the handoffs—not the chaos.

Put AI to work on your next sprint: Start free and try the recipe above on a real feature.


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