A useful workflow record should survive a worker being replaced. Keep the input snapshot, decisions and artifact references separate from the component doing the work.
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Dynamic workflows let an agent organize work across phases. I would still define the deliverable, permitted actions and acceptance rule outside the generated plan. That is the control plane.
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My coding agents just had a conversation without me.
One researched. The other planned off it. I never typed a word.
That’s BAND for developers. Claude Code(@claudeai) and Codex (@OpenAI ) handing work to each other in one room, zero relay.
Keep your agents. Lose the build here, download button on the page: band.ai/use-cases/band…
Keep your agents, keep your terminal. Nothing to rip out.
@band_hq
One researched. The other planned off it. I never typed a word.
That’s BAND for developers. Claude Code(@claudeai) and Codex (@OpenAI ) handing work to each other in one room, zero relay.
Keep your agents. Lose the build here, download button on the page: band.ai/use-cases/band…
Keep your agents, keep your terminal. Nothing to rip out.
@band_hq
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Keep your coding agents. Stop being the go-between. Launch build: band.ai/use-cases/band…
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Pages 2-3 are the real Claude Code commands most users never open:
/agents /skills /mcp /hooks
That's where a chatbot becomes an agent system 🧵
/agents /skills /mcp /hooks
That's where a chatbot becomes an agent system 🧵
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The last page is the point:
1. Save the codes as commands
2. Put your rules in CLAUDE.md
3. Run every build on the loop: Context → Plan → Build → Test → Verify → Ship
The model was never the advantage.
The system around it is.
Full 13-page PDF on my LinkedIn. Save this thread.
1. Save the codes as commands
2. Put your rules in CLAUDE.md
3. Run every build on the loop: Context → Plan → Build → Test → Verify → Ship
The model was never the advantage.
The system around it is.
Full 13-page PDF on my LinkedIn. Save this thread.
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Then the operator pages: Write Better, Learn, Content, Brand & Business —
and Workflows To Copy: repo audit, feature build, bug triage, safe deploy.
A workflow is a prompt you only write once.
and Workflows To Copy: repo audit, feature build, bug triage, safe deploy.
A workflow is a prompt you only write once.
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Think Better. Research With Receipts. Plan & Spec. Build, Test & Ship.
Every page ends with what you learn and what you get.
My most-used page is Research: /sourcecheck /factcheck /evidence /verify.
An answer is not evidence.
Every page ends with what you learn and what you get.
My most-used page is Research: /sourcecheck /factcheck /evidence /verify.
An answer is not evidence.
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A timeout doesn’t mean your AI agent’s action failed.
Blind retry can duplicate the action. Reconcile first: inspect the destination, verify the result, and pause if it’s still unknown.
Same agent. Different recovery logic.
justsayhi.substack.com/p/claude-code-…
Blind retry can duplicate the action. Reconcile first: inspect the destination, verify the result, and pause if it’s still unknown.
Same agent. Different recovery logic.
justsayhi.substack.com/p/claude-code-…
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What does “done” mean in your agent workflow: the tool returned success, the destination changed, or the intended business outcome happened? Those aren’t always equivalent. Which one do you verify?
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A retry budget limits attempts. It doesn’t prevent duplicates. Give each operation a stable ID and check the destination before repeating it. If you still can’t establish the outcome, preserve “unknown” as a real state.
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Enterprise AI has been missing a critical layer.
Not a better model. Someone who owns the work after the demo.
@unframe just named it: the Applied AI Lab. Your team owns the business problem. The lab owns keeping up with AI.
#UnframePartner
Not a better model. Someone who owns the work after the demo.
@unframe just named it: the Applied AI Lab. Your team owns the business problem. The lab owns keeping up with AI.
#UnframePartner
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I build AI agent systems for a living.
The hard part was never the agents. It's knowing when they're wrong.
ZyG's new ZyG Score gets that right: 500+ agents size up your market, then real shoppers and real ad spend check the call.
Agents propose. Customers decide.
#ZyGPartner @ZyG_Edge
The hard part was never the agents. It's knowing when they're wrong.
ZyG's new ZyG Score gets that right: 500+ agents size up your market, then real shoppers and real ad spend check the call.
Agents propose. Customers decide.
#ZyGPartner @ZyG_Edge
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Brands doing $1M+ online with a $40+ AOV get the ZyGnal report free.
The top 500 get a ZyG-funded test with real U.S. shoppers.
Get yours: zyg.com/zyg-score?utm_…
Follow @bally_kehal for more on what agentic AI can actually do.
The top 500 get a ZyG-funded test with real U.S. shoppers.
Get yours: zyg.com/zyg-score?utm_…
Follow @bally_kehal for more on what agentic AI can actually do.
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Bally_AgenticAI retweeted
We’ve raised a $10M Series A to automate video creation for every company.
1,000+ organizations like Atlassian, GitLab, Samsara, Legrand, and Zendesk use @clueso to automate their videos for marketing, customer education, and employee training.
The struggle of video creation in hat Netflix made a documentary about it
1,000+ organizations like Atlassian, GitLab, Samsara, Legrand, and Zendesk use @clueso to automate their videos for marketing, customer education, and employee training.
The struggle of video creation in hat Netflix made a documentary about it
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I stopped pricing voice agents per minute.
Five real calls to ours, running Kimi K2.6, cost 35 cents total. One of them booked a real meeting.
My team wired an AI receptionist onto a real phone number with @telnyx. It recognizes the caller, pulls open slots from a live ting and logs a summary.
Per minute, voice AI looks like a phone bill.
Per booked meeting, it's a pipeline decision.
Voicemail isn't a phone feature. It's where pipeline goes to wait.
The model never decides who gets booked. Caller identity comes from the phone number, server-side.
The agent doesn't replace whoever takes the meeting. It makes sure there's a meeting to take.
Free to sign up, verify with GitHub or LinkedIn to build your own. Link in the reply.
#TelnyxPartner
Five real calls to ours, running Kimi K2.6, cost 35 cents total. One of them booked a real meeting.
My team wired an AI receptionist onto a real phone number with @telnyx. It recognizes the caller, pulls open slots from a live ting and logs a summary.
Per minute, voice AI looks like a phone bill.
Per booked meeting, it's a pipeline decision.
Voicemail isn't a phone feature. It's where pipeline goes to wait.
The model never decides who gets booked. Caller identity comes from the phone number, server-side.
The agent doesn't replace whoever takes the meeting. It makes sure there's a meeting to take.
Free to sign up, verify with GitHub or LinkedIn to build your own. Link in the reply.
#TelnyxPartner
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Build your own AI receptionist on Telnyx: bit.ly/47O7Sgl
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@telnyx Build your own with $25 in Telnyx credits, no card needed: telnyx.com
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The full video: youtube.com/watch?v=RsswI2…
Watch it tonight. Set up plan mode tomorrow. That one change alone is worth it.
Watch it tonight. Set up plan mode tomorrow. That one change alone is worth it.
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