Task contexts: start from the ticket, not from a blank prompt
Tired of opening a branch and then spending the first hour hunting context? Notion in one tab, an old ticket in another, a doc someone dropped in Slack last month. You paste five links into a prompt and hope the one line that actually mattered made it in.
It often works until it does not—like when the implementation matches the prompt and still misses a sentence buried three levels deep in Notion.
Task contexts change the order of operations. You start from the user story you are implementing, not from a generic branch and a wall of text you assemble by hand.
What changes for you
You pick the story from connected sources. Notion works today; Jira and Linear are on the way. Either way, the ticket is the anchor—not a URL you hope the agent read.
With that anchor, Veritos pulls in what belongs to this task: knowledge from your connected sources, plus relevant items from your Library (skills, rules, subagents, MCPs). The point is not to dump everything your company knows into one prompt. It is to narrow the pile to what matters for this ticket.
What you receive
You get a development branch set up for the work and a generated skill that describes what “done” looks like here: constraints, references, the stuff you used to cram into a mega-prompt.
Your work shifts to what humans are still good at: read the plan, check out the branch, tell the agent to follow the skill. You are not replacing judgment—you are cutting the scavenger hunt that used to come first.
Why it stays scoped to one ticket
A task context is not a new permanent layer of configuration. It is tied to the ticket. That keeps global rules from filling up with story-specific exceptions, and it keeps next sprint from inheriting last sprint’s odd edge case.
When the story lives in Notion, the same synced knowledge that powers your knowledge base can feed the context. When we add more issue trackers, the system you pick changes; the workflow does not.
How this fits Veritos
Veritos exists so agent context can live in one Library and reach repos through GitHub PRs. Task contexts apply that idea to a single assignment: one feature, one branch worth of focus—so you spend time on tradeoffs and edge cases, not on collecting URLs into a starter prompt.
Same GitHub App, same Library, same principle that agent configuration should behave like code. Task contexts just refuse to boil the ocean before you write implementation code.
Next step
Open a task context from a connected user story, review the generated skill and branch setup, and run your usual agent workflow. If something is off, you fix it in one place instead of rewriting the mega-prompt for the next ticket.
Built by Julian Pomper and Max Gierlachowski in Vienna.