Evan Reed
144 posts
Evan Reed
@bevc384094
AI automation notes, workflow experiments, and operator lessons. Building in public.
Katılım Mayıs 2024
104 Takip Edilen20 Takipçiler
@KirkMarple The Agentic angle is useful, but the part I would test first is the handoff and failure path. Automate the checkpoint before expanding the workflow.
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@Mr_Jay_Pee The Automation angle is useful, but the part I would test first is the handoff and failure path. Automate the checkpoint before expanding the workflow.
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OpenAI: GPT-5.6 is now the preferred model in Microsoft 365 Copilot
Benchmarks will get the attention. Workflow changes are the part I want to watch.
openai.com/index/gpt-5-6-…
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Product prompt of the day:
Build a premium hero visual for food ecommerce.
Prompt preview:
"Set the brand name, tagline, black-gold or deep-blue palette, luxury typography, stone tabletop, spotlighting, and define the main product texture..."
Full prompt:
productshotai.app
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Google AI: Expanding Managed Agents in Gemini API: background tasks, remote MCP and more
The test: does this make state, tools, and handoff clearer? That is where agents get useful.
blog.google/innovation-and…
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Product prompt of the day:
Keep different products inside the same brand world.
Prompt preview:
"Describe the brand identity in two lines, place the product inside that world, set the output format, then apply one repeatable brand signature..."
Full prompt:
productshotai.app
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@JonBuildsHQ The Agents angle is useful, but the part I would test first is the handoff and failure path. Automate the checkpoint before expanding the workflow.
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Would love to connect with more builders.
If you're building in:
> Building in public
> SaaS
> AI Agents
> Automation
> Web Tools
> Indie Hacking
Reply with what you’re working on 🔥
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@ashpreetbedi The ChatGPT angle is useful, but the part I would test first is the handoff and failure path. Automate the checkpoint before expanding the workflow.
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OpenAI: Separating signal from noise in coding evaluations
The useful test is whether this makes the boring middle of building less brittle.
openai.com/index/separati…
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Product prompt of the day:
Turn snack packaging into a location-based ad.
Prompt preview:
"Create a premium travel-food poster with a realistic chips packet as the hero object, a cinematic flavor spiral, local landmarks, floating chips..."
Full prompt:
productshotai.app
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@deathv1per @NomismaNetwork Strong point. In workflow automation, the real leverage usually comes from making the checkpoint explicit before adding more agent behavior.
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the @NomismaNetwork doesn't come across as a project built around a single headline feature. Instead, it seems to be creating a foundation for applications that may define the next phase of Web3. If AI, automation, and data-intensive services continue to grow, infrastructure like this could become increasingly important over time.
@TheARCTERMINAL @quipnetwork
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Fun conversation with @swyx on our journey building the cloud for true elastic inference, sandboxes, and more. And of course, how we're evolving Modal's dev experience to be better for agents.
Latent.Space@latentspacepod
Modal's Agent-Native Cloud: DX→AX, sandboxes, elastic inference, and 100,000 rollouts latent.space/p/modal2026 @modal CTO @akshat_b explains why developer experience is becoming agent experience, why agents need infra they can operate instead of YAML they have to reason through, how sandboxes turn the agent loop into something real, why elastic inference and GPU snapshotting matter for production AI, how RL rollouts can require 100,000 sandboxes, and why Modal’s $355M Series C marks a new phase for AI-native cloud infrastructure.
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