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Building with the GPT-5 Model Series: A Practical Guide

OpenAI 15 January 2026, 00:09 ● Covered by 2 sources

The article provides a practical guide for startups to migrate to the Responses API and build reliable GPT-5–based agent workflows. It specifically focuses on migrating to the Responses API. It changes how developers plan GPT-5 integration by covering agent design, prompt tuning, and steering to improve reliability.

Why it matters

A practical guide for startups on migrating to the Responses API, designing agents, tuning prompts, steering GPT-5 models, and building reliable AI workflows.

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TLDRocket 19 October 2026

Agentic AI is leaving the lab and heading straight into the messy parts of work—then running into the equally messy parts of security. Atlassian’s “Agentic Multiplayer Protocol” is built around attribution, showing agent contributions in document history so accountability stays with the user, not “the AI did it.” That governance impulse is echoed elsewhere as teams try to treat agents like managed services instead of novelty software: Pax8’s 8os lets IT partners govern multiple vendors’ agents with per-customer separation and hard usage caps, while Motive Technologies pushes fleet automation from passive alerts to autonomous actions, pitching faster ROI through fewer preventable operational problems. Even property management is getting the agent layer, with Vessla aiming to coordinate leasing and building operations while keeping human approval for judgment calls.

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Building with the GPT-5 Model Series: A Practical Guide

Why it matters

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Every AI story that matters, in your inbox by 8am.

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