Conduct AgentIc

About

Homepage headline and subheadline copy • Meta title tag • Site URL and domain name • Agent use case examples in body copy

Audience

Software engineering teams and engineering managers at companies using GitHub-based workflows who want to automate repetitive developer tasks without building custom AI infrastructure

What makes us different

Ships with 9 pre-configured agents out of the box — reduces time-to-value compared to build-your-own agent frameworks • Positioned as a team substitute ('Your AI engineering team') rather than a copilot or assistant — implies broader task ownership, not just suggestions • Specific GitHub issue-to-PR and alert-to-hypothesis workflows named explicitly — signals opinionated, narrow integrations rather than broad platform claims

Products & Services

• Pre-built AI Agent Suite

  General

  9 ready-made agents that perform discrete engineering tasks such as labeling GitHub issues, opening pull requests, and…

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Verified Facts (25)

• ✓Conduct: MIT licensed
• ✓Incident Responder agent: The Incident Responder agent fetches recent commits and deploys, correlates timing with the alert, and posts a root cause hypothesis to a Slack channel within 60 seconds of an alert firing.
• ✓Dependency Updater agent: The Dependency Updater agent runs on a weekly cron, scans for outdated patch and minor dependencies, and opens a single consolidated PR — it never bumps major versions.
• ✓Release Notes agent: The Release Notes agent reads every merged PR since the last git tag, groups them by feature, fix, and maintenance, writes a CHANGELOG entry, and posts a summary to Slack — triggered automatically on tag push.
• ✓Conduct execution sandbox: Each agent run executes in an ephemeral Modal sandbox that is spun up, used, and torn down per run — user code and credentials never touch shared infrastructure.
• ✓CI Failure Alert agent: The CI Failure Alert agent reads a failed CI step, diagnoses the root cause, and posts a structured Slack alert with a suggested fix automatically.
• ✓PR Reviewer agent: The PR Reviewer agent automatically reviews any opened PR — whether created by a human or by Autopilot — for bugs, security issues, and style, then posts a review comment.
• ✓Conduct agent templates: Each pre-built agent ships with a working YAML playbook, enabling teams to complete a first agent run in minutes after connecting their tools.
• ✓Conduct approval gates: Every agent workflow requires explicit human approval in Slack before any code is merged — approval gates are first-class workflow blocks.
• ✓Conduct CLI: The Conduct CLI allows any agent to be triggered from a terminal, GitHub Action, or CI pipeline using a simple YAML workflow definition and an API key — no browser required.
• ✓Conduct platform: Conduct ships with 9 pre-built AI agents designed for GitHub workflows, including Autopilot, PR Reviewer, Issue Triage, Release Notes, CI Failure Alert, Incident Responder, and Dependency Updater.
• ✓Conduct workflow config: Conduct is MIT licensed and stores workflows as YAML config files (e.g., `<project>-delegator.yml`) directly in the user's repository — diffable, reviewable in PRs, and version-controlled.
• ✓Conduct audit trail: Every agent action is fully event-sourced, capturing what the AI read, wrote, ran, how long it took, and what it cost — providing a complete, scrubbable audit trail for every run.
• ✓Conduct integrations: Conduct integrates natively with GitHub, Slack, PagerDuty, OpsGenie, email (via Resend), and any inbound webhook — requiring no migration or new tooling.
• ✓Claude Code: Your Claude Code config is now a security surface.
• ✓Narratr: Most AI marketing tools have a missing layer. We built it.
• ✓When one API returns results in 24 seconds and another takes 88, the faster one feels like the obvious choice — especially when the price tag is roughly the same.
• ✓Narratr LLM audit: We just finished an end-to-end audit of an LLM-powered web app — 23 prompts, 21 distinct AI calls, a mix of providers and fallbacks.
• ✓Narratr: Narratr exposes its brand intelligence tools to ChatGPT (as a GPT Action) and to Claude.ai (via MCP over HTTP).
• ✓Claude / Anthropic API: From $2,400 to $680: Real Patterns for Claude Cost Control.
• ✓Narratr AEO tool: We don't just audit AEO. We ship it.
• ✓Open any of them — HubSpot AEO, AEO Engine, SE Ranking's AEO module, Webflow's new AEO product — and you'll find the same shape of output. A score. A list of recommendations. An estimated traffic lift if you make the changes.
• ✓Some platforms are actively marketing against human oversight in brand analysis — framing it as friction, as a bottleneck, as something to be engineered away.
• ✓Narratr: The speed is real. The quality gap is also real. And as AI-generated content floods every channel, [Narratr addresses this gap].
• ✓Narratr: Human-Verified AI Brand Analysis Is Your Competitive Edge.