Built a tool that turns loose ideas into AI prompts that actually work

Your product is good and it has potential, the feedback i would give you is that you have to spend more time on value proposition, cuz like imma saas builder myself, but as i visited your homepage, i cant really understand at first what problem your product is solving, i'm specifically talking about hero section, if we scroll down and read whole landing page content, we can clearly tell what problem your product is solving but hero section text can be better, and image in hero section is solid, just work a lil bit on that thing, except for that, i appreciate your work

I’m working on some early prototypes too — one in compliance automation (https://komplora.com
) and another in founder visibility (https://foundersinno.com
). Different problem spaces, but I’ve wrestled with the same question: lean harder into planning vs execution. Would love to know how you’re deciding which side to double down on.

Congrats on the public beta—love the wedge of “idea → plan → executable prompts.”
A few thoughts after reading your update:

Planning vs. execution?
If you have to choose, lean into execution. Planning tools are crowded; “planning that pushes code change” is rarer. The killer loop is: user story → structured prompt → PR (branch, tests, codemods) → CI feedback → learnings fed back into the plan. If Devplan owns that closed loop, it’s not “another doc tool,” it’s where work happens.

Estimates: useful or noise?
Useful if they’re calibrated and transparent. Suggestions:
• Show range + confidence (e.g., 3–5h @ 60% conf) and the top assumptions that drive the number.
• Auto-calibrate using repo history (files touched, churn, dependency graph, author familiarity).
• Flag “spikes” when uncertainty is high and propose the smallest discovery task.
• Roll up to initiative-level with risk heatmaps (unknowns, cross-team dependencies).

What would make it essential (not “just another AI tool”):
• Context Pack as a first-class artifact: a portable bundle (repo slice + styleguide + architecture invariants + recent PRs) that any agent/editor can consume. Make it the single source of truth across Cursor/Claude Code/Windsurf.
• Guardrails & patterns: enforce codebase conventions (folder layout, DI pattern, design tokens). Before emitting prompts, Devplan checks against rules and proposes codemods where drift is detected.
• Traceability: every PR links back to the user story, the prompt, and the assumptions. “Which prompt generated this diff?” is one click.
• CI-aware prompts: when tests fail, generate a targeted remediation plan (what to revert, what to refactor, which tests to add).
• Multi-player flow: reviewer checklists, @mentions, and “handoff packets” for new devs (context + tasks + risks) generated automatically.
• Security & control: local mode/BYO keys, read-only SCM access options, clear data retention policy—unblocks teams that can’t ship code to third-party LLMs.

Love from your latest updates: Contextify improvements (big win for monorepos), Linear/Jira push, image uploads for specs, and editor-specific prompt flavors.

Small UX asks:
• One-click “Open in Cursor/Claude Code” next to each prompt.
• Definition of Done generator per story (tests, telemetry, docs).
• Diff-aware summaries after merge: what changed, why, and what to watch in prod.

Positioning (who feels this most): 2–10-dev AI teams drowning in ad-hoc docs and context loss between planning and agents. Your pitch: “Devplan turns planning into shippable changes, not just text.”

Happy to jam more if helpful—this is pointed at a very real pain.