Systems and Workflows
Perplexity Agent API Connectors: What Can Shared Agents Access?
A project administrator can configure a connector once, but every application sharing that Project needs to understand the access boundary.
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Automation and Agents
Perplexity Agent API Profiles: Pin a Version or Follow Latest?
A reusable agent configuration is easier to share. The production question is how to change it without losing the ability to explain which setup handled a request.
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Automation and Agents
GitHub Copilot in Slack and Teams: Admin Controls Checklist
Before widening a shared-channel coding-agent preview, test the context boundary, trigger permissions, app identity, repository scope, budget and human review path.
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Automation and Agents
GitHub Copilot in Slack and Teams: Turn Threads into Reviewed Tasks
A chat mention is an intake decision. Use this practical test to turn a bounded thread into traceable GitHub work without handing an agent more context than the task needs.
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Systems and Workflows
How to Set Safe Budgets for Exa Agent Ultra Research
Set an Exa Agent Ultra budget, duration and review gate with this practical preflight for safe handling of partial research results.
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AI in Practice
Exa Agent Ultra: When Is Exhaustive AI Research Worth It?
When is Exa Agent Ultra worth it? See what its $20 default cap and vendor-reported benchmarks mean, then test it against a completeness target.
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Systems and Workflows
Base44 Base Code Security: GitHub Access and Shared Secrets
Before inviting collaborators, map Base Code workspace access, GitHub permissions, branch protections, shared secrets and merge authority.
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AI in Practice
Base44 Base Code Pilot: Choosing a Safe First Change
A practical way to choose a safe Base Code task: check project fit, set acceptance criteria, review the preview and diff, and keep release decisions with your team.
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Systems and Workflows
ChatGPT Space: How to Organize Shared Work Without Losing Context
ChatGPT Space can bring project material together. A useful pilot starts with one project, a clear overview, authoritative sources, defined contributors, and a review of whether the next person can pick up the work.
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Automation and Agents
OpenAI Dots: What to Delegate to an Always-On AI Agent
Start an OpenAI Dot with one recurring, reviewable responsibility. Define its sources, stop conditions, and approval boundaries, then pilot it on known work.
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