CogLab Journal
AI Strategy
DoorDash’s new Tasks app and its Metis acquisition point to the same strategy: agentic commerce will be won by companies that can connect AI decisions to real-world feedback loops.
9 min read · Updated 2026-03-20
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OpenAI’s agreement to acquire Astral is a bet on something bigger than code generation. The next AI battle is over the tools that manage, check, and ship real software.
9 min read · Updated 2026-03-19
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An Australian founder used ChatGPT, AlphaFold, and a university lab to help build a personalized mRNA cancer vaccine for his dog. The point is not a miracle story. The point is that AI is becoming a bridge into expert systems.
9 min read · Updated 2026-03-18
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Between late February and mid-March 2026, OpenClaw shipped twelve releases that quietly turned an AI agent framework into production infrastructure. Here's what happened and why it matters for anyone running real workloads.
9 min read · Updated 2026-03-17
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Yann LeCun’s new startup AMI Labs reportedly raised a massive seed round to build systems that understand the physical world. The message is simple: the next wave of AI isn’t just words. It’s work.
8 min read · Updated 2026-03-10
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Agents don’t fail because they “hallucinate.” They fail because your environment is messy.
8 min read · Updated 2026-03-09
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If OpenAI really builds a GitHub rival, it’s not just a new repo host. It’s a move to make AI-native reviews, policy enforcement, and audit trails the default.
8 min read · Updated 2026-03-08
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A new draft U.S. civilian procurement rule would require AI vendors to allow ‘any lawful use’ and grant broad licenses. If you buy AI, this changes how you negotiate, how you govern, and how you keep optionality.
9 min read · Updated 2026-03-07
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Teach your tools to fetch the right answer and cut research-to-decision time for small teams.
8 min read · Updated 2026-03-04
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A Pentagon ban on a major AI tool is not just politics. It is a preview of how quickly your stack can change when AI becomes a procurement and compliance issue.
9 min read · Updated 2026-03-04
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Australia's regulator is signaling a new era: AI services may be treated like gatekept media, with age checks and real penalties. Here is what that shift means for your workflows, your product, and your Tuesday.
9 min read · Updated 2026-03-02
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Most ‘agent’ failures aren’t model failures—they’re workflow failures. Here are 7 common smells and the fixes that make agents reliable in real operations.
10 min read · Updated 2026-03-01
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OpenAI’s reported agreement to deploy models inside the Pentagon’s classified network, arriving right after a public clash involving Anthropic, is a reminder that ‘responsible AI’ becomes real when it collides with contracts, constraints, and incentives.
9 min read · Updated 2026-03-01
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A fresh paper on multi-agent LLM trading suggests the real lever for agent performance isn’t ‘smarter models’—it’s fine-grained task design, checkpoints, and auditable intermediate outputs.
10 min read · Updated 2026-02-28
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Anthropic’s public record shows a dual strategy: engage governments on AI safety standards while explicitly restricting high-risk uses like weapons enablement and certain surveillance.
6 min read · Updated 2026-02-27
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Designing small memory-backed workflows makes AI assistance reliable and auditable for everyday operators.
8 min read · Updated 2026-02-27
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Enterprise agent launches are exposing the real bottleneck: workflow reliability, not model intelligence.
8 min read · Updated 2026-02-25
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Standard Intelligence’s FDM-1 is a bet that the next big interface is video, not chat—and that long-context training is the difference between a demo and a coworker.
9 min read · Updated 2026-02-24
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This release isn’t about flash. It’s about making autonomous work reliable enough that you can stop babysitting and start shipping.
10 min read · Updated 2026-02-23
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Two small stories from the last 24 hours reveal why the next AI advantage won’t come from clever prompts, but from reliable systems you can actually run every day.
9 min read · Updated 2026-02-23
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The February 21, 2026 OpenClaw release prioritizes reliability in places that directly affect real operator throughput.
9 min read · Updated 2026-02-22
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Why teams that operationalize AI now will compound speed and margin while everyone else debates tooling.
10 min read · Updated 2026-02-22
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A practical transition path from ad hoc AI usage to orchestrated, measurable workflows.
11 min read · Updated 2026-02-22
Read articleAI Maturity
Using the CogLab 8-level framework to benchmark real AI operating maturity.
9 min read · Updated 2026-02-22
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