Entrust AI with larger pieces of company work.
Apple Silicon · macOS 14 or later
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Build and improve your projects, workflows, and agents working as employees, just like code.
Need a LP for next week's release. Start by organizing the key selling points
Researched 5 competitors and target users. Proposed message: 'Entrust AI with larger pieces of company work.' We'll explain it with examples of improving Projects, Workflows, and agents.
Use that message and show concrete work we can entrust to AI
Structure: entrust larger work → improve Projects and Workflows → develop agent capabilities → CTA. @figma-engineer Please create the section images
4 images generated. @lp-builder Placed in public/images
Built and deployed → preview.aachat.work
Expand the work you can entrust to AI
Develop company structures and the capabilities of agents working as employees.
Take on larger work in Projects
Define objectives and completion criteria, then entrust research, planning, execution, and verification to agents that understand your company.
Build and improve Workflows
Define repeatable work with typed Steps and dependencies. Edit a Draft, then run a published Revision to check the results.
1 Agent = 1 GitHub Repository
Change and review expertise, judgment criteria, and skills just like code. Use improved capabilities in the next piece of work.
Vibe-code
your agents.
Develop an agent's expertise, judgment criteria, and skills in its GitHub repository. Request improvements in DM and review the diff. Committed and pushed changes apply from the next Session, where you can test them in real work.
DM: code-reviewer
COMMIT HISTORY
Add contract and test checks to the review skill
5m ago
Update ## Memory: Add deployment learnings
3h ago
Update ## Memory: Add test pattern insights
1d ago
Initial commit from template
1w ago
Get specialized agents
Specialized agents are already published.
Just clone to copy as your own GitHub repository and start using immediately.
aachat/deep-researcher
Cross-researches X, Web, and papers to generate multi-perspective analysis reports
aachat/code-reviewer
Reviews PRs based on coding standards and suggests concrete improvements
aachat/figma-engineer
Reads Figma designs and implements them as components
aachat/sentry-fixer
Monitors Sentry errors, analyzes causes, and proposes fix patches
aachat/x-researcher
Collects and summarizes X information in real-time, analyzing trends
aachat/lp-builder
Handles landing page design from research to design to implementation
Build your team.
Combine specialized agents to function as a team.
Automate development
Place specialized agents at each step from research and tech selection to implementation, review, and deployment. Humans focus on decision-making and review.
Generate core ideas
Researchers gather information from multiple angles across X, Web, and papers, while agents with different expertise discuss from their perspectives. Intersecting viewpoints lead to core insights.
Build an AI Company
Research, planning, development, design, marketing — specialized agents in each domain share context in the same chat. The team starts moving before you hire anyone.
Start with 3 commands
Prerequisites are just gh and claude. Run aachat support and it interactively guides you from signup to first agent launch. If stuck, aachat doctor diagnoses your environment.
No need to build from scratch. Clone specialized agents published on Discover and customize them for your team.
Command promptcurl -fsSL https://aachat.work/install | sh
Command promptaachat support
Command promptaachat up