Your specification drives the project.
AI handles the rest.
Specky closes the loop between what's agreed and what's delivered.
Free during the beta period
Every IT team knows these three losses.
And none of the current tools address them.
Decisions get lost
The project owner's decisions are scattered across email, Slack, recordings, and the PM's notebook.
The spec goes stale
On the day the sprint starts, the document no longer reflects the project's reality.
Developer builds the wrong thing
The code passes review, but no one checks whether it implements the agreed requirement.
- 1 IT companies use an average of 5–15 tools in parallel. Every context switch is a cognitive cost.
- 2 One sprint lost to a misimplemented requirement means thousands of dollars in rework.
- 3 Code review checks code quality — no one checks alignment with the specification and decisions made with the project owner.
"How much does one sprint cost you when a developer builds the wrong thing because the decision got lost in an email?"
Four steps. Closed loop.
From document to compliance verification — without losing context.
You upload the specification
PDF, DOCX, Markdown — or describe the project by voice.
AI extracts requirements
The pipeline identifies requirements, detects gaps, and asks clarifying questions.
Proposes tasks
Every task linked to a specific requirement. You approve.
AI proposes — you decideEnsures compliance
Before code review, AI checks whether the code implements what was agreed.
AI proposes — you decideLoop closed. Nothing slips through.
See the full workflowThree things nobody else does.
AI Pre-Review before code review
Code reaches review only if it implements the agreed requirement.
Before code review, AI compares the implementation with the requirement and decisions. If it detects a discrepancy — it flags the PR with a justification.
→ Task #45 required Google
OAuth.
→ PR #128 implements basic
auth.
→ AI blocks the merge.
One place for all decisions
Email, Slack, meeting recordings — everything lands in a single graph linked to tasks.
A project owner's statement from a meeting ("we want PDF instead of CSV") automatically becomes:
- — a decision in the repository
- — a proposed update to task #67
- — an entry on the next meeting's agenda
Everything linked in the graph. Nothing depends on the PM's memory.
Say what you need — get the view
Zero configured dashboards. Type "show blockers for sprint 3" — you get a ready-made view.
Example queries that work out of the box:
- "What's the health check for the Alpha project?"
- "What should we cover in tomorrow's meeting?"
- "Show my tasks and scheduled reviews"
Who is Specky for?
Find yourself. See exactly what Specky will change in your day-to-day work.
You run the project, not the tool.
- AI breaks the specification into tasks — you just approve.
- The agenda for the meeting with the project owner builds itself from open threads.
- Project health check in a single chat sentence — no report configuration.
Three flows. One knowledge graph.
Everything that happens in the project — spec, decisions, code — connects in a linked structure.
From specification to tasks
You upload the document. The pipeline processes it section by section, detects requirements, asks clarifying questions when something is unclear, and flags contradictions between requirements. Items marked "out of scope" (legal clauses, tender boilerplate) don't make it into planning — they don't pollute the project.
From conversation to project update
A new decision comes up in a meeting. It lands in the repository, AI finds related tasks and proposes updates. The PM approves — tasks change, assignees get notified of the content change, and the next meeting's agenda automatically updates with open threads.
From commit to compliance verification
The developer pushes code. Before code review, AI runs two checks: whether the implementation aligns with the specification and decisions, and whether all linked requirements have actually been implemented. If something doesn't match, or the developer forgot about something — AI flags it before the tech lead even looks at the PR.
Two deployment paths.
Pick whichever fits your team. Or start with one and grow into the other.
Standalone
A full project management platform.
Replaces tools like Jira, Linear, Asana, ClickUp. Specification, tasks, decisions, and verification — all live inside Specky, connected in a knowledge graph.
Integration Layer
A layer on top of what you already have.
The specification and requirements live in Specky. Tasks are synced with the tool you already use.
You don't have to choose now. Start with one project.
Frequently asked questions.
Do I have to drop Jira (or another tool)?
What if we don't have a written specification?
How does Specky protect my data?
When will pricing be available?
How are you different from ClickUp / Linear / Monday with AI?
Does it work for teams smaller than 5 people?
What does export to AI code generators look like?
Join the Specky beta
Be among the first teams to close the loop between requirements and code.
Free during the beta period.