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Brief

@usebrief

AI Ships. Brief Navigates. Align your team and agents from vision to impact at AI speed.

 San Francisco, CA
usebrief.com
Joined September 2025
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Engineers and coding agents need requirements, acceptance criteria, and earlier decisions the moment a question arises. The people holding that context are often asleep in another time zone.
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This gap creates clarification loops. A question waits overnight, the reply sparks a follow-up, and a quick handoff stretches across days.
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Teams want AI tools that fit their current workflow. Nobody wants another app to log into or maintain.
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The conversation turns to integration coverage and manual copy-paste. How much context moves by hand from a Slack thread to a ticket before reaching the prompt for coding agents?
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The coding agent builds a checkout ticket without seeing the roadmap. It ships on time. A month later the next feature needs it done differently, so it gets built again.
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The velocity dashboard shows two closed tickets, CHK-412 and CHK-488. That's one piece of work built twice.
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Drop your website into Brief's competitive teardown to see how your positioning stacks up against your closest rivals.
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You get an email within minutes listing your positioning gaps, the top moves your competitors are making, and your sharpest provocation.
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A 2,000-person product org splits into roughly 1,000 engineers, 200 product folks, and over 800 handling operations.
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Coding agents accelerated the build, but that speed shifted the load elsewhere. The data team faces more requests, customer calls pile up, compliance and legal take more time, and status reporting expands.
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Ask Cursor to add a confetti burst for a ready pickup order, and the obvious move is to install canvas-confetti.
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With Brief over MCP, the agent checks first and finds D-162, which Design confirmed on Aug 4: use the motion kit for celebrations without adding new animation libraries.
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Pick one agent harness over Claude Code and a gap appears fast: no agent knows what product decided.
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Brief is the context graph they all ask. Coding agents call it via MCP from the IDE. Pipelines call it from the CLI with brief ask "does MR !1182 touch an open decision?"
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A product channel question: why do exports default to 12 benchmarks when a customer requests 8 with an industry filter?
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Brief reads that thread and replies directly. The default of 12 comes from an early sample requesting the full set before tagging existed. Tagging has shipped since then, yet approval still grants 12 benchmarks while the 8-benchmark version remains an open proposal.
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Same tickets drive different views. The squad needs blockers while the VP tracks dependencies and leadership checks shipped items plus what needs attention. Ask Brief in Slack for each specific cut.
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Push back in the thread to rewrite against your sources. Shipped work keeps its dates, draft PRs stay drafts, and anything without a direct source stays out.
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Your standing decision sets QBR exports to 12 peer benchmarks by default, noting that customer feedback on volume or new industry tagging could change this.
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Both triggers arrived: an advisory board requested 8 with an industry filter, and tagging launched. Brief placed this new evidence beside the original reasoning and flagged that one session does not signal broad demand.
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The 8 peer default build ticket opens by confirming its approved decision and listing the 12 peer decision it supersedes.
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Every requirement on that ticket links directly to its source decision or customer feedback. If no record supports a requirement, the ticket states that clearly.
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Five customer accounts shared how their finance reviewers cross-check QBR exports against internal workbooks before the review. No current persona handles that reconciliation.
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Brief turns those interview notes into a new persona draft where each requirement links back to its source line. It appears marked Suggested next to your existing personas.
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A Jira ticket shows up with just a title and a line of text, no assignee and no acceptance criteria. The feature record behind it already holds the requestor and the definition of done.
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Brief pulls that record along with the persona, sponsor quote, and governing decisions. It then writes testable acceptance criteria into the ticket, tracing each one to a specific decision or customer.
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Brief records every decision: the outcome, the team's reasoning, the rejected alternative, evidence links, ownership details, timing, and revisit triggers.
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Take exports as an example. They default to 12 peer benchmarks. The team turned down an 8-peer industry filter because peer accounts lack industry tags, so that filter would claim a distinction the data cannot support.
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A commit renames a table with a verified signature in just two lines. Nothing in the diff, the message, or the filename says the old name matters.
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Compliance docs say otherwise. They freeze schema names until audit reviews wrap because the evidence cites the table by its current name. Brief compares the commit to that decision.
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Your agent tries to reuse an existing warehouse export helper and set eight peer benchmarks as default. That helper pulls data straight from the warehouse, which the team already blocked.
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Brief intercepts that edit before it saves. It blocks the change, cites the decision, explains why, lists the rejected option, names the owner, and points to the approved service to use instead.
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A Slack message flags that the account manager still builds the benchmark table manually before each quarterly review. Brief logs this as a research signal, capturing both the role and the original message.
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That signal joins the feature alongside existing decisions. The resulting build ticket quotes the customer problem, links to the Slack thread, and sets acceptance criteria grounded in those decisions.
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AI adoption hits companies unevenly. Some teams overhaul their workflow the moment a new agent launches. Others wait for budget, headcount, or a mandate, or simply have goals the tool cannot address.
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Driving this shift requires enabling both groups with tools that match their specific work and priorities. Funding token usage helps early adopters but leaves careful teams behind.
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The biggest fans of Brief build tons of software without calling themselves software companies. You see this in banks, insurers, retailers, and logistics firms that run large product orgs. They pour money into AI tooling but do not see faster shipping times.
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That spend targeted writing code, which was already the fast part. The process around the code stuck to its old pace. We help them find blockers in that process and clear them out. Brief maps the pipeline across Jira, GitHub, and Slack to show where work stalls.
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Brief connects to your existing product stack: GitHub, Slack, Jira, Linear, and meeting notes. It builds a product knowledge graph on top of that data.
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This graph maps a feature's journey from idea to launch. It tracks who requested it, the decisions made, constraints from legal or major customers, and where items sit in waiting.
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