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No code needed, and setup takes five minutes.","d6c16540-1bb3-45a1-afde-db7897a56adb",{"type":83,"content":84},"doc",[85,153,159,165,171,187,219,225,231,237,250,262,268,274,280,286,301,307,313,333,338,344,350,364,376,382,387,393,416,426,461,466,472,564,577,589,595,600,606,612,636,642,647,653,668,688,694,699,713,718,732,746,752,758,763,769,816,825,837,843,848,854,860,866,872,877,883,896,908,914,919,941,947,953,959,964,977,982,996,1015,1020,1033,1053,1063,1075,1080,1086,1091,1103,1108,1114,1119,1125,1130],{"type":86,"attrs":87},"blok",{"id":88,"body":89},"67626167-c1cc-4ba9-bee5-9674bb51ccc5",[90],{"_uid":91,"title":92,"content":93,"component":152},"i-33e7e9f6-be52-4b37-b2b0-b10568ea3f4f","ChatGPT and MCP connectors: Summary & key takeaways",{"type":83,"content":94},[95],{"type":96,"content":97},"bullet_list",[98,112,122,132,142],{"type":99,"content":100},"list_item",[101],{"type":102,"content":103},"paragraph",[104,110],{"text":105,"type":106,"marks":107},"The connector is live:","text",[108],{"type":109},"bold",{"text":111,"type":106}," ChatGPT now connects directly to Teamwork.com through the Model Context Protocol (MCP), letting you query projects, tasks, and resources from a chat window.",{"type":99,"content":113},[114],{"type":102,"content":115},[116,120],{"text":117,"type":106,"marks":118},"No developer required:",[119],{"type":109},{"text":121,"type":106}," Setup takes under five minutes and works on ChatGPT Plus, Pro, Business, Enterprise, or Edu plans.",{"type":99,"content":123},[124],{"type":102,"content":125},[126,130],{"text":127,"type":106,"marks":128},"Real workflows, not party tricks:",[129],{"type":109},{"text":131,"type":106}," You can pull cross-project status summaries, check team workloads, and draft project plans, all without leaving ChatGPT.",{"type":99,"content":133},[134],{"type":102,"content":135},[136,140],{"text":137,"type":106,"marks":138},"Your data stays locked down:",[139],{"type":109},{"text":141,"type":106}," Teamwork.com is SOC 2 Type 2 certified, and private data is never used to train third-party models.",{"type":99,"content":143},[144],{"type":102,"content":145},[146,150],{"text":147,"type":106,"marks":148},"It's a strategic shift:",[149],{"type":109},{"text":151,"type":106}," AI-connected project management isn't a novelty. It's becoming the operational backbone for professional services teams that want to move faster without losing control.","storyKeyTakeaways",{"type":102,"attrs":154,"content":156},{"textAlign":58,"key":155},"p-0",[157],{"text":158,"type":106},"The pattern we're seeing across our customer base here at Teamwork.com is pretty clear: professional services leaders want AI to do more than just generate text. They want it to connect to the systems where real work happens. Luckily, that's exactly what the Teamwork.com MCP connector does with ChatGPT. ",{"type":102,"attrs":160,"content":162},{"textAlign":58,"key":161},"p-1",[163],{"text":164,"type":106},"This guide breaks down what the MCP connector is, why it matters for business owners running client work, and the specific workflows your team can start using immediately without needing to code or handoff work to developers. Simply put, it's a direct line between the AI you're already using and the projects your team is already delivering.",{"type":102,"attrs":166,"content":168},{"textAlign":58,"key":167},"p-2",[169],{"text":170,"type":106},"Wondering whether setting up the connector once is worth your time? Wonder no more. I'll cover the practical payoff, the security model, and the features that make the most of this MCP connection.",{"type":172,"attrs":173,"content":175},"heading",{"level":174,"textAlign":58},2,[176],{"text":177,"type":106,"marks":178},"What is MCP (and why should you care)?",[179,182,186],{"type":180,"attrs":181},"textStyle",{"color":55},{"type":183,"attrs":184},"anchor",{"id":185},"what-is-mcp-and-why-should-you-care",{"type":109},{"type":102,"attrs":188,"content":190},{"textAlign":58,"key":189},"p-3",[191,193,201,203,217],{"text":192,"type":106},"MCP (",{"text":194,"type":106,"marks":195},"Model Context Protocol",[196],{"type":197,"attrs":198},"link",{"href":199,"uuid":58,"anchor":58,"target":58,"linktype":200},"https://modelcontextprotocol.io/","url",{"text":202,"type":106},") is an open standard that lets AI tools like ChatGPT read from and write to external software in real time. Think of it as a universal adapter: instead of copying data between apps, ChatGPT can pull project details, task lists, or resource availability directly from your tools. (For a deeper look into how MCP works and what Teamwork.com's MCP server enables, see our ",{"text":204,"type":106,"marks":205},"MCP server guide",[206],{"type":197,"attrs":207},{"href":208,"uuid":209,"anchor":58,"target":58,"linktype":210,"story":211},"/blog/mcp-server/","26d3d046-9702-4b1d-8fe8-d26e33f7e415","story",{"name":212,"id":213,"uuid":209,"slug":214,"url":215,"full_slug":215,"_stopResolving":216},"Introducing the Teamwork.com MCP server—the next leap for TeamworkAI starts here",81359717386925,"mcp-server","blog/mcp-server",true,{"text":218,"type":106},".)",{"type":102,"attrs":220,"content":222},{"textAlign":58,"key":221},"p-4",[223],{"text":224,"type":106},"So why should a business owner care about an open protocol? Because the alternative is what you've been living with for years: custom integrations that cost five figures, take months to build, and break every time a vendor updates their API. Not worth it! ",{"type":102,"attrs":226,"content":228},{"textAlign":58,"key":227},"p-5",[229],{"text":230,"type":106},"At its core, MCP changes the economics of connecting your tools. Instead of building a bespoke bridge between every pair of applications in your stack, each tool publishes a single MCP endpoint and any compatible AI assistant can read from it. Think of it as a USB-C replacing a drawer full of proprietary chargers. One standard, and suddenly everything just works. For professional services firms evaluating their tech stack, this is significant. It means the investment you make in a platform that supports MCP today doesn't lock you into a single AI tool tomorrow. ChatGPT supports it now, Claude also supports it, and many more will follow. The protocol approach means your data stays accessible to whichever AI assistant your team adopts next, without rebuilding anything.",{"type":102,"attrs":232,"content":234},{"textAlign":58,"key":233},"p-6",[235],{"text":236,"type":106},"What makes this different from the API integrations you've probably been pitched before? It's all about who gets to use it. Traditional integrations require a developer to write code, maintain it, and troubleshoot it when something breaks at 4 p.m. on a Friday. On the other hand, MCP connectors are configured by users in a settings menu without the need for code or developers. For a COO or CEO at a 50-200 person firm, that's a huge operational win. It means your team can connect new AI capabilities to their project data without waiting for engineering resources you may not even have in-house.",{"type":102,"attrs":238,"content":240},{"textAlign":58,"key":239},"p-7",[241,243,248],{"text":242,"type":106},"The businesses I see moving fastest on this aren't the ones with the biggest tech budgets. They're the ones where leadership understood early that ",{"text":244,"type":106,"marks":245},"connectivity",[246],{"type":247},"italic",{"text":249,"type":106}," between tools is the bottleneck, not the tools themselves. MCP is the first credible answer to that bottleneck that doesn't require a developer on speed dial.",{"type":172,"attrs":251,"content":252},{"level":174,"textAlign":58},[253],{"text":254,"type":106,"marks":255},"Why this matters for professional services leaders",[256,258,261],{"type":180,"attrs":257},{"color":55},{"type":183,"attrs":259},{"id":260},"why-this-matters-for-professional-services-leaders",{"type":109},{"type":102,"attrs":263,"content":265},{"textAlign":58,"key":264},"p-8",[266],{"text":267,"type":106},"What we're seeing across the industry right now is a divide. On one side: businesses where AI lives in a browser tab, useful for drafting emails and brainstorming but disconnected from real operations. On the other: businesses where AI is wired into their project management stack, pulling live data and cutting hours of admin every week.",{"type":102,"attrs":269,"content":271},{"textAlign":58,"key":270},"p-9",[272],{"text":273,"type":106},"Again, the difference isn't talent or budget, it's the integration itself.",{"type":172,"attrs":275,"content":277},{"level":276,"textAlign":58},3,[278],{"text":279,"type":106},"The context-switching tax on client work",{"type":102,"attrs":281,"content":283},{"textAlign":58,"key":282},"p-10",[284],{"text":285,"type":106},"If you've ever asked a team lead for a project update and waited two hours while they pulled numbers from three different tools, you've felt this conundrum firsthand.",{"type":102,"attrs":287,"content":289},{"textAlign":58,"key":288},"p-11",[290,292,299],{"text":291,"type":106},"A pattern we see across Teamwork.com customers is teams running 3-5 separate tools to manage a single client engagement. ",{"text":293,"type":106,"marks":294},"Teamwork.com's \"Sprint to AI\" research found that 58% of professional services teams confirmed using 3-5 separate tools to get the job done",[295],{"type":197,"attrs":296},{"href":297,"uuid":298,"anchor":58,"target":58,"linktype":210},"/the-sprint-to-ai/","0aa514ef-cb30-4851-a4ec-649345636b06",{"text":300,"type":106},". Every tool switch costs time, and every manual data transfer introduces errors. For C-suite leaders, this fragmentation makes it nearly impossible to get a real-time read on where projects stand across the portfolio.",{"type":102,"attrs":302,"content":304},{"textAlign":58,"key":303},"p-12",[305],{"text":306,"type":106},"Now multiply that across a portfolio. Most of the professional services leaders I talk to at Teamwork.com are overseeing 10-20 active client engagements at any given time. Each project has its own status, its own risks, and its own resource needs. When the only way to get a read on a project is to open the tool, find the board, scan the tasks, and mentally calculate where things stand, you're not managing a portfolio, you're playing whack-a-mole. The compounding cost is real: a leadership team spending 30 minutes per project per week on manual status checks burns 5-10 hours weekly just on information gathering. That's time not spent on strategy, client relationships, or business development.",{"type":102,"attrs":308,"content":310},{"textAlign":58,"key":309},"p-13",[311],{"text":312,"type":106},"The deeper problem is what this fragmentation does to decision quality. When it takes hours to compile a cross-portfolio view, leadership decisions are based on data that's already stale by the time it reaches the meeting room. I've seen this pattern play out repeatedly: a COO approves a new engagement on Tuesday based on a capacity report pulled on Friday. By Tuesday, two team members have been pulled onto a different project to handle a scope change. The capacity that existed three days ago is gone, but the data said otherwise. This visibility gap doesn't show up as a line item on anyone's budget. Instead, it shows up as missed deadlines, burned-out teams, and margin erosion that only surfaces at month-end. It's one of the reasons we hear C-suite leaders say their tech stack \"works\" but doesn't actually help them make better decisions.",{"type":86,"attrs":314},{"id":315,"body":316},"b89487ce-6dad-40c8-b8de-79c9e96a6806",[317],{"_uid":318,"title":319,"content":320,"component":152},"i-e68bde35-f34a-4fb7-8425-170f80b20ff9","Data point",{"type":83,"content":321},[322],{"type":102,"content":323},[324,326,331],{"text":325,"type":106},"74% of professional services teams don't believe their current tech stack will support their needs in the next 18 months, according to ",{"text":327,"type":106,"marks":328},"The Sprint to AI report",[329],{"type":197,"attrs":330},{"href":297,"uuid":298,"anchor":58,"target":58,"linktype":210},{"text":332,"type":106},". The gap isn't features. It's connectivity.",{"type":172,"attrs":334,"content":335},{"level":276,"textAlign":58},[336],{"text":337,"type":106},"What changes when your AI assistant actually connects to your PM stack",{"type":102,"attrs":339,"content":341},{"textAlign":58,"key":340},"p-14",[342],{"text":343,"type":106},"Instead of asking ChatGPT a question and then manually verifying the answer against your project data, the MCP connector lets ChatGPT access that data directly. You ask \"Which projects are over budget this month?\" and get an answer sourced from live Teamwork.com data, not from ChatGPT's training set.",{"type":102,"attrs":345,"content":347},{"textAlign":58,"key":346},"p-15",[348],{"text":349,"type":106},"For business owners, this changes the economics of getting information. You're not paying a project manager to pull a report, nor are you waiting for the Monday standup. You're asking a question and getting an answer grounded in what's actually happening across your projects.",{"type":86,"attrs":351},{"id":352,"body":353},"7115af9c-e082-4b2e-a3fc-dd2dfd85c64e",[354],{"_uid":355,"text":356,"title":357,"ctaLink":358,"padding":55,"ctaLabel":361,"component":362,"thumbnail":363,"openInNewTab":61},"i-c9d61256-d443-449c-8de6-109c90f03cf0","See how Teamwork.com brings projects, people, and profits together in one AI-powered platform.","Ready to connect ChatGPT to your project data?",{"id":55,"url":359,"linktype":200,"fieldtype":360,"cached_url":359},"/signup/","multilink","Start free","storyResourceBannerCta",{},{"type":172,"attrs":365,"content":366},{"level":174,"textAlign":58},[367],{"text":368,"type":106,"marks":369},"How ChatGPT connects to Teamwork.com (without needing a developer)",[370,372,375],{"type":180,"attrs":371},{"color":55},{"type":183,"attrs":373},{"id":374},"how-chatgpt-connects-to-teamwork-com-without-needing-a-developer",{"type":109},{"type":102,"attrs":377,"content":379},{"textAlign":58,"key":378},"p-16",[380],{"text":381,"type":106},"What surprised me when we launched this MCP connector is how simple the setup is compared to most integrations I've seen across our customer base. There's no API configuration, no developer sprint, and no IT ticket required. ",{"type":172,"attrs":383,"content":384},{"level":276,"textAlign":58},[385],{"text":386,"type":106},"What you'll need (plan, permissions, 5-minute setup)",{"type":102,"attrs":388,"content":390},{"textAlign":58,"key":389},"p-17",[391],{"text":392,"type":106},"You'll need a ChatGPT Plus, Pro, Business, Enterprise, or Edu plan, plus a paid Teamwork.com account with the appropriate permissions. The connector is added through ChatGPT's Settings under Apps & Connectors, so once you authorize the connection, you're live.",{"type":96,"content":394},[395,408],{"type":99,"content":396},[397],{"type":102,"attrs":398,"content":400},{"textAlign":58,"key":399},"p-18",[401,403],{"text":402,"type":106},"Within ChatGPT, on the bottom-left side, click on into your account, and then go to ",{"text":404,"type":106,"marks":405},"Settings.",[406],{"type":407},"code",{"type":99,"content":409},[410],{"type":102,"attrs":411,"content":413},{"textAlign":58,"key":412},"p-19",[414],{"text":415,"type":106},"Go to “Apps,\" then “Create App”",{"type":102,"attrs":417,"content":419},{"textAlign":58,"key":418},"p-20",[420],{"type":421,"attrs":422},"image",{"id":423,"alt":55,"src":424,"title":55,"source":55,"copyright":55,"meta_data":425},174064693526751,"https://a.storyblok.com/f/99519/876x1566/07eb858999/mcp-server.png",{},{"type":96,"content":427},[428,442,450],{"type":99,"content":429},[430],{"type":102,"attrs":431,"content":433},{"textAlign":58,"key":432},"p-21",[434,436],{"text":435,"type":106},"Fill out the form with the appropriate information, including the Teamwork.com MCP server URL (",{"text":437,"type":106,"marks":438},"https://mcp.ai.teamwork.com)",[439],{"type":180,"attrs":440},{"color":441},"#1D1C39",{"type":99,"content":443},[444],{"type":102,"attrs":445,"content":447},{"textAlign":58,"key":446},"p-22",[448],{"text":449,"type":106},"Go through the subsequent steps to authenticate and approve the connection. ",{"type":99,"content":451},[452,458],{"type":102,"attrs":453,"content":455},{"textAlign":58,"key":454},"p-23",[456],{"text":457,"type":106},"From there, you're all set to start using Teamwork.com and ChatGPT together. ",{"type":102,"attrs":459},{"textAlign":58,"key":460},"p-24",{"type":172,"attrs":462,"content":463},{"level":276,"textAlign":58},[464],{"text":465,"type":106},"What ChatGPT can actually do once connected",{"type":102,"attrs":467,"content":469},{"textAlign":58,"key":468},"p-25",[470],{"text":471,"type":106},"Once connected, ChatGPT can read your Teamwork.com data: projects, tasks, milestones, time entries, resource allocations, and more. It can answer questions about your current workload, surface overdue tasks, and summarize project status across your portfolio.",{"type":86,"attrs":473},{"id":474,"body":475},"36c7a4b6-157b-4477-b083-18e5e10a8c2e",[476],{"_uid":477,"title":478,"header":479,"padding":489,"component":490,"categories":491,"withHeaderPrice":61},"i-3b3c5814-a12e-4a03-a7aa-458aaff8a1ae","Capability",[480,485],{"_uid":481,"price":55,"title":482,"ctaLink":483,"ctaLabel":55,"subtitle":55,"component":484,"highlighted":61},"i-45df87ca-f33a-4a90-9b84-215ccf505f5b","Without MCP connector",{"id":55,"url":55,"linktype":210,"fieldtype":360,"cached_url":55},"TwComparisonHeaderItem",{"_uid":486,"price":55,"title":487,"ctaLink":488,"ctaLabel":55,"subtitle":55,"component":484,"highlighted":61},"i-3aa79a1d-b1ed-45c9-873b-30294e16d5bf","With MCP connector",{"id":55,"url":55,"linktype":210,"fieldtype":360,"cached_url":55},"pb-0","TwComparisonSection",[492],{"_uid":493,"rows":494,"text":55,"title":55,"component":563},"i-9371e929-a316-434b-b1a7-7f66aaa56abc",[495,511,524,537,550],{"_uid":496,"cols":497,"header":505,"component":510},"i-c1138955-dee0-456c-a701-5d09a588b352",[498,502],{"_uid":499,"icon":55,"text":500,"component":501},"i-d2fdeb23-c5b2-4fa6-bb5d-ee01ffd46f57","Manual: open Teamwork.com, navigate to dashboards, compile findings","TwComparisonColItem",{"_uid":503,"icon":55,"text":504,"component":501},"i-1a4c341f-0a2d-4b95-af1f-5074492c6ed8","Ask ChatGPT: \"What's the status of Project X?\" and get a live summary",[506],{"_uid":507,"title":508,"tooltip":55,"component":509},"i-a1927251-7f0e-4ee7-a81a-8f9cbeeb00dc","Project status updates","TwComparisonColHeader","TwComparisonRow",{"_uid":512,"cols":513,"header":520,"component":510},"i-4383fa13-7c3f-490b-b241-72e446928d0f",[514,517],{"_uid":515,"icon":55,"text":516,"component":501},"i-3216d852-e297-44f9-8a66-c4310f7ba51d","Check the resource scheduler, cross-reference with calendar",{"_uid":518,"icon":55,"text":519,"component":501},"i-74edd7db-10cc-4c8c-b857-1e054da0d35a","Ask ChatGPT: \"Who has capacity this week?\"",[521],{"_uid":522,"title":523,"tooltip":55,"component":509},"i-34fb11e5-2167-416d-90f4-9eef6f07bc7d","Resource availability",{"_uid":525,"cols":526,"header":533,"component":510},"i-f6f3a666-ddf6-4059-9556-19fc61c4b0f1",[527,530],{"_uid":528,"icon":55,"text":529,"component":501},"i-51e04b53-00b1-4c48-b707-e35fef20374d","Pull the profitability report, export data",{"_uid":531,"icon":55,"text":532,"component":501},"i-034e9428-ac71-452a-a276-1d28bee0545b","Ask ChatGPT: \"Which projects are over budget?\"",[534],{"_uid":535,"title":536,"tooltip":55,"component":509},"i-29ef5078-f7e2-45c2-b378-bf9d42c41a8f","Budget checks",{"_uid":538,"cols":539,"header":546,"component":510},"i-b2b2f084-c542-4c90-b60d-aafdbd581088",[540,543],{"_uid":541,"icon":55,"text":542,"component":501},"i-1e346367-9051-4898-97b2-d5b1a3cfcd20","Run a time report, filter by client/project",{"_uid":544,"icon":55,"text":545,"component":501},"i-e102ada6-f3de-4325-85e9-bc2cda722a07","Ask ChatGPT: \"How many billable hours did we log last week?\"",[547],{"_uid":548,"title":549,"tooltip":55,"component":509},"i-627d1c8d-10eb-4114-afee-6c8ed6e20ab7","Time tracking summaries",{"_uid":551,"cols":552,"header":559,"component":510},"i-f32f787f-1770-4974-b7b0-ac67a568d326",[553,556],{"_uid":554,"icon":55,"text":555,"component":501},"i-e2aec6c9-66bd-400e-816e-30838bae0dc6","Open the project, find the right person, assign manually",{"_uid":557,"icon":55,"text":558,"component":501},"i-95b39077-7eaa-480f-861b-6097c61081d1","Ask ChatGPT to create and assign a task based on context",[560],{"_uid":561,"title":562,"tooltip":55,"component":509},"i-165568dc-82fb-4f26-9aa7-f35636cf6b7c","Task assignment","TwComparisonCollapsable",{"type":86,"attrs":565},{"id":566,"body":567},"cbd6a148-0fc2-498c-bf99-efb5eb37c57e",[568],{"_uid":569,"title":570,"content":571,"component":152},"i-938a2b09-28db-458e-99e8-e5de233968b5","Pro tip",{"type":83,"content":572},[573],{"type":102,"content":574},[575],{"text":576,"type":106},"Start with read-only queries (status checks, resource questions, time summaries) before using write actions like task creation. This lets your team build confidence in the connector's accuracy before changing any live data.",{"type":172,"attrs":578,"content":579},{"level":174,"textAlign":58},[580],{"text":581,"type":106,"marks":582},"5 workflows your team can run on day one",[583,585,588],{"type":180,"attrs":584},{"color":55},{"type":183,"attrs":586},{"id":587},"five-workflows-your-team-can-run-on-day-one",{"type":109},{"type":102,"attrs":590,"content":592},{"textAlign":58,"key":591},"p-26",[593],{"text":594,"type":106},"The professional services leaders we talk to at Teamwork.com are focused on one main question: where can AI save us time without inadvertently creating new problems? These five workflows are the ones we see teams adopting first, because they deliver value immediately with minimal risk.",{"type":172,"attrs":596,"content":597},{"level":276,"textAlign":58},[598],{"text":599,"type":106},"Ask ChatGPT for a cross-project status summary",{"type":102,"attrs":601,"content":603},{"textAlign":58,"key":602},"p-27",[604],{"text":605,"type":106},"Instead of opening five different project boards, ask ChatGPT: \"Give me a status summary of all active projects for Client X.\" The MCP connector pulls task completion rates, milestone progress, and any flagged blockers from Teamwork.com, giving you a comprehensive summary in seconds.",{"type":102,"attrs":607,"content":609},{"textAlign":58,"key":608},"p-28",[610],{"text":611,"type":106},"For C-suite leaders who manage portfolio-level decisions, this is the difference between knowing what's happening and hoping your team remembered to update the dashboard.",{"type":102,"attrs":613,"content":615},{"textAlign":58,"key":614},"p-29",[616,618,622,624,628,630,634],{"text":617,"type":106},"For a business managing 15 or more active clients, this workflow changes how Monday mornings work. Instead of spending the first 90 minutes of leadership meetings with each project lead giving verbal updates (half of which are \"I need to check on that and get back to you\"), you walk into the room with a summary already pulled. Ask ChatGPT: \"",{"text":619,"type":106,"marks":620},"Which of our active projects are behind on milestones this week?\"",[621],{"type":109},{"text":623,"type":106}," Follow that with: \"",{"text":625,"type":106,"marks":626},"For the ones that are behind, what tasks are blocking progress?\"",[627],{"type":109},{"text":629,"type":106}," Then: ",{"text":631,"type":106,"marks":632},"\"Are any of those blockers assigned to someone who's also overallocated?\" ",[633],{"type":109},{"text":635,"type":106},"You're chaining questions the way you'd interrogate a dashboard, except the dashboard talks back.",{"type":102,"attrs":637,"content":639},{"textAlign":58,"key":638},"p-30",[640],{"text":641,"type":106},"When the status data is already on the table, leadership conversations move from \"What's happening?\" to \"What are we going to do about it?\" That's a fundamentally different meeting. Instead of 20 minutes establishing that Project X is three days behind, you spend those 20 minutes deciding whether to reallocate resources, renegotiate the timeline with the client, or absorb the delay. The teams where I see the biggest impact are the ones that make this a daily habit, not a weekly one. A 30-second query before your morning coffee replaces the anxiety of not knowing where things stand.",{"type":172,"attrs":643,"content":644},{"level":276,"textAlign":58},[645],{"text":646,"type":106},"Check who's overloaded before accepting new work",{"type":102,"attrs":648,"content":650},{"textAlign":58,"key":649},"p-31",[651],{"text":652,"type":106},"One of the most common mistakes we see across Teamwork.com customers is accepting new client work without checking current capacity. And I get it—pulling up the Resource Scheduler takes time, and the sales conversation is happening now.",{"type":102,"attrs":654,"content":656},{"textAlign":58,"key":655},"p-32",[657,659,666],{"text":658,"type":106},"With the MCP server, you can ask: \"Does anyone on the design team have capacity next week?\" ChatGPT checks ",{"text":660,"type":106,"marks":661},"resource scheduling",[662],{"type":197,"attrs":663},{"href":664,"uuid":58,"anchor":58,"target":665,"linktype":200},"https://www.teamwork.com/product/resource-management/","_blank",{"text":667,"type":106}," in Teamwork.com and gives you a direct answer. ",{"type":102,"attrs":669,"content":671},{"textAlign":58,"key":670},"p-33",[672,674,686],{"text":673,"type":106},"When ",{"text":675,"type":106,"marks":676},"Invanity adopted Teamwork.com",[677],{"type":197,"attrs":678},{"href":679,"uuid":680,"anchor":58,"target":58,"linktype":210,"story":681},"/customer-stories/invanity/","c307f2d5-49dd-4368-acc9-52204919dd6a",{"name":682,"id":683,"uuid":680,"slug":684,"url":685,"full_slug":685,"_stopResolving":216},"Invanity",67840430225926,"invanity","customer-stories/invanity",{"text":687,"type":106},", they cut project planning time by 50% and reduced weekly workload management by 80%. Adding AI-connected queries on top of that foundation makes capacity checks nearly instant.",{"type":102,"attrs":689,"content":691},{"textAlign":58,"key":690},"p-34",[692],{"text":693,"type":106},"This becomes especially powerful when the person closing deals isn't the person delivering the work. In most professional services firms under 200 people, sales conversations and delivery capacity live in different heads. A partner or business development lead is on a call with a prospective client, and the question \"Can we start in two weeks?\" gets answered with optimism rather than data. The MCP server lets that sales conversation include a real-time capacity check without pulling the ops director out of their own work. Ask ChatGPT mid-conversation: \"Does the development team have 40 hours of available capacity in the next two sprints?\" and you get a grounded answer before you make a commitment you can't keep. That's the difference between growing sustainably and growing into a delivery crisis.",{"type":172,"attrs":695,"content":696},{"level":276,"textAlign":58},[697],{"text":698,"type":106},"Turn a client brief into a scoped project plan",{"type":102,"attrs":700,"content":702},{"textAlign":58,"key":701},"p-35",[703,705,711],{"text":704,"type":106},"Paste a client brief into ChatGPT and ask it to create a project scope using your Teamwork.com templates. You can already ",{"text":706,"type":106,"marks":707},"generate scoped project plans from briefs",[708],{"type":197,"attrs":709},{"href":710,"uuid":58,"anchor":58,"target":665,"linktype":200},"https://www.teamwork.com/blog/ai-project-wizard/",{"text":712,"type":106}," natively inside Teamwork.com, but the MCP connector gives you another entry point, especially useful if you're working in ChatGPT already.",{"type":172,"attrs":714,"content":715},{"level":276,"textAlign":58},[716],{"text":717,"type":106},"Pull time tracking insights without opening a report",{"type":102,"attrs":719,"content":721},{"textAlign":58,"key":720},"p-36",[722,724,730],{"text":723,"type":106},"Ask ChatGPT: \"How many billable hours did we log for Client Y last month?\" or \"Which team members logged the most non-billable time this week?\" The MCP server queries Teamwork.com's ",{"text":725,"type":106,"marks":726},"time tracking",[727],{"type":197,"attrs":728},{"href":729,"uuid":58,"anchor":58,"target":665,"linktype":200},"https://www.teamwork.com/product/cost-profitability-management/time-tracking/",{"text":731,"type":106}," data and returns the answer in plain English.",{"type":102,"attrs":733,"content":735},{"textAlign":58,"key":734},"p-37",[736,738,744],{"text":737,"type":106},"For business owners tracking ",{"text":739,"type":106,"marks":740},"profitability",[741],{"type":197,"attrs":742},{"href":743,"uuid":58,"anchor":58,"target":665,"linktype":200},"https://www.teamwork.com/product/cost-profitability-management/budgeting-profitability/",{"text":745,"type":106},", this turns time data into a conversational interface. You don't need to know which report to run or how to set filters.",{"type":102,"attrs":747,"content":749},{"textAlign":58,"key":748},"p-38",[750],{"text":751,"type":106},"For business owners who track profitability at the project level, the real value here is turning time data from a retrospective report into a live conversation. Many businesses run their billing reviews at month-end: pull the time report, cross-reference against the SOW, calculate the variance, and then have an uncomfortable conversation about the project that went 30% over scope. By that point, the money is already spent. When time data is conversational, you catch scope creep while it's still, well, creepable. Ask ChatGPT mid-month: \"How many billable hours have we logged on Project Y versus the original estimate?\" If the answer is \"62% of the budget consumed with only 40% of deliverables complete,\" that's a conversation you want to have now, not in three weeks.",{"type":102,"attrs":753,"content":755},{"textAlign":58,"key":754},"p-39",[756],{"text":757,"type":106},"The other shift is who can access this information. In a traditional setup, pulling a filtered time report requires someone who knows the reporting tool, knows which filters to set, and has the permissions to run it. That's usually one or two people in the firm. With the connector, any authorized team member can ask a plain-English question and get a useful answer. I've seen this reduce the bottleneck around month-end billing reviews significantly. Instead of the ops director spending a full day compiling time data for every active project, leadership can self-serve the numbers they need and spend that day on decisions instead of data entry.",{"type":172,"attrs":759,"content":760},{"level":276,"textAlign":58},[761],{"text":762,"type":106},"Get a budget health check in plain English",{"type":102,"attrs":764,"content":766},{"textAlign":58,"key":765},"p-40",[767],{"text":768,"type":106},"Ask: \"Are any active projects at risk of going over budget?\" ChatGPT checks your Teamwork.com budget data and flags anything that needs attention. It's the kind of question you'd normally ask your ops director at a weekly check-in, except now you can anytime.",{"type":86,"attrs":770},{"id":771,"body":772},"c49667cb-231c-4b41-8c73-e0865e462296",[773],{"_uid":774,"title":775,"content":776,"component":152},"i-13e171be-05d6-4078-b398-3dbd40db39b2","Self-audit",{"type":83,"content":777},[778],{"type":96,"content":779},[780,786,792,798,804,810],{"type":99,"content":781},[782],{"type":102,"content":783},[784],{"text":785,"type":106},"Is your team ready for AI-connected project management?",{"type":99,"content":787},[788],{"type":102,"content":789},[790],{"text":791,"type":106},"Do your projects have consistent task structures and milestones in Teamwork.com?",{"type":99,"content":793},[794],{"type":102,"content":795},[796],{"text":797,"type":106},"Is your team logging time regularly (not just at month-end)?",{"type":99,"content":799},[800],{"type":102,"content":801},[802],{"text":803,"type":106},"Are project budgets set up with billable and cost rates?",{"type":99,"content":805},[806],{"type":102,"content":807},[808],{"text":809,"type":106},"Do you have resource allocations assigned (not just task assignments)?",{"type":99,"content":811},[812],{"type":102,"content":813},[814],{"text":815,"type":106},"If you answered \"no\" to two or more, start by tightening your data hygiene in Teamwork.com. AI-connected tools are only as good as the data they connect to.",{"type":86,"attrs":817},{"id":818,"body":819},"9149da7a-19e1-4823-8169-2d1ff7342b54",[820],{"_uid":821,"text":55,"title":822,"ctaLink":823,"padding":55,"ctaLabel":361,"component":362,"thumbnail":824,"openInNewTab":61},"i-d5f06768-4d10-4ceb-b618-b50fd65f5268","See what AI-powered project management looks like",{"id":55,"url":359,"linktype":200,"fieldtype":360,"cached_url":359},{},{"type":172,"attrs":826,"content":827},{"level":174,"textAlign":58},[828],{"text":829,"type":106,"marks":830},"Security, governance, and what your data team needs to know",[831,833,836],{"type":180,"attrs":832},{"color":55},{"type":183,"attrs":834},{"id":835},"security-governance-and-what-your-data-team-needs-to-know",{"type":109},{"type":102,"attrs":838,"content":840},{"textAlign":58,"key":839},"p-41",[841],{"text":842,"type":106},"Usually the first question from C-suite leaders isn't \"What can it do?\" It's \"Is it safe?\" That's the right question, and the answer matters more than any feature list.",{"type":172,"attrs":844,"content":845},{"level":276,"textAlign":58},[846],{"text":847,"type":106},"Your data stays yours (SOC 2 + privacy model)",{"type":102,"attrs":849,"content":851},{"textAlign":58,"key":850},"p-42",[852],{"text":853,"type":106},"Teamwork.com is SOC 2 Type 2 certified. That means your project data, client information, time entries, and financial records are protected by enterprise-grade security controls. Critically, private data stored in Teamwork.com is never used to train third-party AI models, including OpenAI's.",{"type":102,"attrs":855,"content":857},{"textAlign":58,"key":856},"p-43",[858],{"text":859,"type":106},"When you use the MCP server with ChatGPT, ChatGPT accesses your data in real time to answer your query. It doesn't store your project data, and it doesn't feed it back into its training pipeline. The data flows through the connection, serves the query, and that's it.",{"type":102,"attrs":861,"content":863},{"textAlign":58,"key":862},"p-44",[864],{"text":865,"type":106},"It's worth understanding what happens at the technical level, because it matters for how you evaluate risk. When ChatGPT queries your Teamwork.com data through the MCP connector, the data travels over an encrypted connection, is used to generate a response to your specific query, and isn't retained by OpenAI afterward. Teamwork.com's SOC 2 Type 2 certification covers the controls around how that data is stored, accessed, and transmitted. This is a fundamentally different model from what most teams are actually doing today, which is copying project data from their PM tool, pasting it into ChatGPT's chat window, and asking questions about it. That approach sends your data directly to OpenAI's servers as user input. The connector approach keeps your data within the authenticated connection between Teamwork.com and ChatGPT. Ironically, the \"secure\" instinct of not connecting tools often leads teams to the less secure workaround of manual copy-paste.",{"type":102,"attrs":867,"content":869},{"textAlign":58,"key":868},"p-45",[870],{"text":871,"type":106},"For firms with European clients or EU-based team members, data residency is a consideration worth flagging with your compliance team. Teamwork.com offers EU data hosting for customers who require it, and the company's privacy model is built with GDPR requirements in mind. The MCP connector operates within the same permission and security framework as the rest of the platform, so your existing data residency configuration applies to data accessed through the connector as well. If your firm handles sensitive client data (and in professional services, most do), the key question to ask isn't \"Is the AI connection safe?\" It's \"Is the AI connection safer than what my team is already doing with ChatGPT on their own?\" In most cases, the answer is yes, because the connector replaces uncontrolled manual workflows with a governed, auditable connection.",{"type":172,"attrs":873,"content":874},{"level":276,"textAlign":58},[875],{"text":876,"type":106},"Admin controls and permission boundaries",{"type":102,"attrs":878,"content":880},{"textAlign":58,"key":879},"p-46",[881],{"text":882,"type":106},"Teamwork.com administrators control which users can enable the MCP server and what data it can access. This isn't a blanket \"AI has access to everything\" situation. Permissions in Teamwork.com still apply, so ChatGPT can only see what the connected user is authorized to see.",{"type":86,"attrs":884},{"id":885,"body":886},"0430624d-f00e-44b3-ab47-9881a4552c57",[887],{"_uid":888,"title":889,"content":890,"component":152},"i-0b05c217-5cf6-402b-a136-caf24af1a3a9","Hard truth",{"type":83,"content":891},[892],{"type":102,"content":893},[894],{"text":895,"type":106},"AI governance isn't an IT problem. It's a leadership decision. If you're a business owner and you haven't decided who can connect AI tools to your operational data, you've already made a decision by default. Set the policy before the tool gets adopted informally.",{"type":172,"attrs":897,"content":898},{"level":174,"textAlign":58},[899],{"text":900,"type":106,"marks":901},"How Teamwork.com makes the most of ChatGPT and MCP",[902,904,907],{"type":180,"attrs":903},{"color":55},{"type":183,"attrs":905},{"id":906},"how-teamwork-com-makes-the-most-of-chatgpt-and-mcp",{"type":109},{"type":102,"attrs":909,"content":911},{"textAlign":58,"key":910},"p-47",[912],{"text":913,"type":106},"The MCP server is one piece of a broader AI strategy we've been building at Teamwork.com. So far, the teams getting the most value aren't using just one AI feature. They're combining that integration with Teamwork.com's native AI capabilities to cover different use cases.",{"type":172,"attrs":915,"content":916},{"level":276,"textAlign":58},[917],{"text":918,"type":106},"TeamworkAI and the MCP server",{"type":102,"attrs":920,"content":922},{"textAlign":58,"key":921},"p-48",[923,925,931,933,939],{"text":924,"type":106},"The MCP server lets you query Teamwork.com from ChatGPT's interface. But Teamwork.com also has its own ",{"text":926,"type":106,"marks":927},"MCP server",[928],{"type":197,"attrs":929},{"href":208,"uuid":209,"anchor":58,"target":665,"linktype":210,"story":930},{"name":212,"id":213,"uuid":209,"slug":214,"url":215,"full_slug":215,"_stopResolving":216},{"text":932,"type":106}," that works with other AI tools like Claude. And inside the platform, ",{"text":934,"type":106,"marks":935},"TeamworkAI",[936],{"type":197,"attrs":937},{"href":938,"uuid":58,"anchor":58,"target":665,"linktype":200},"https://www.teamwork.com/ai/",{"text":940,"type":106}," handles tasks like summarizing comment threads, suggesting task assignments, and surfacing project risks without leaving the Teamwork.com platform.",{"type":102,"attrs":942,"content":944},{"textAlign":58,"key":943},"p-49",[945],{"text":946,"type":106},"Here's a good rule of thumb: use the MCP server when you're already in ChatGPT and want quick answers. Use TeamworkAI when you're inside Teamwork.com and want AI-powered actions embedded in your workflow.",{"type":102,"attrs":948,"content":950},{"textAlign":58,"key":949},"p-50",[951],{"text":952,"type":106},"Where TeamworkAI shines is in the context-heavy work that happens inside a project. Comment thread summarization is a good example: on a project with 50 or more comments across multiple tasks, TeamworkAI can distill those conversations into a concise summary so a project manager stepping in mid-engagement doesn't need to read every message to understand where things stand. Risk surfacing works similarly. TeamworkAI analyzes task progress, deadline proximity, and resource allocation patterns to flag projects that are drifting before they hit a crisis point. These are capabilities that work best when they're embedded in the platform where the work is happening, not in an external chat window.",{"type":102,"attrs":954,"content":956},{"textAlign":58,"key":955},"p-51",[957],{"text":958,"type":106},"Use the ChatGPT connector when you want to ask questions from outside Teamwork.com (during a planning session, in a leadership meeting, or while evaluating a new engagement). Use TeamworkAI when you're inside Teamwork.com and want the platform to proactively surface what needs your attention. The MCP server is pull-based: you ask, it answers. TeamworkAI is push-based: it watches your projects and tells you when something needs action. The most effective teams we see at Teamwork.com use both. They rely on TeamworkAI for day-to-day project intelligence and reach for the ChatGPT connector when they need ad hoc, cross-portfolio answers that span multiple projects or require natural language exploration.",{"type":172,"attrs":960,"content":961},{"level":276,"textAlign":58},[962],{"text":963,"type":106},"AI Project Wizard for instant project setup",{"type":102,"attrs":965,"content":967},{"textAlign":58,"key":966},"p-52",[968,970,975],{"text":969,"type":106},"The ",{"text":971,"type":106,"marks":972},"AI Project Wizard",[973],{"type":197,"attrs":974},{"href":710,"uuid":58,"anchor":58,"target":665,"linktype":200},{"text":976,"type":106}," turns scattered briefs into fully structured projects in clicks. Upload a brief or SOW, and the wizard builds out tasks, milestones, and timelines. This works natively inside Teamwork.com, and it pairs well with the MCP server connection with ChatGPT: use ChatGPT to analyze a brief, then use the AI Project Wizard to build the project.",{"type":172,"attrs":978,"content":979},{"level":276,"textAlign":58},[980],{"text":981,"type":106},"Resource scheduling and AI Smart Scheduler",{"type":102,"attrs":983,"content":985},{"textAlign":58,"key":984},"p-53",[986,988,994],{"text":987,"type":106},"Knowing who's available is one thing. Making smart allocation decisions is another. The ",{"text":989,"type":106,"marks":990},"AI Smart Scheduler",[991],{"type":197,"attrs":992},{"href":993,"uuid":58,"anchor":58,"target":665,"linktype":200},"https://www.teamwork.com/blog/ai-smart-scheduler/",{"text":995,"type":106}," suggests resource allocations based on role, availability, and project requirements. Combined with the ChatGPT connector's ability to answer capacity questions in natural language, your resource decisions get faster and better informed.",{"type":102,"attrs":997,"content":999},{"textAlign":58,"key":998},"p-54",[1000,1001,1013],{"text":673,"type":106},{"text":1002,"type":106,"marks":1003},"OIC Advisors adopted Teamwork.com",[1004],{"type":197,"attrs":1005},{"href":1006,"uuid":1007,"anchor":58,"target":665,"linktype":210,"story":1008},"/customer-stories/oic-advisors/","4267d0f6-976d-4a0f-bc52-5c0d9d55006e",{"name":1009,"id":1010,"uuid":1007,"slug":1011,"url":1012,"full_slug":1012,"_stopResolving":216},"OIC Advisors",534212218,"oic-advisors","customer-stories/oic-advisors",{"text":1014,"type":106},", they gained 360-degree visibility across all active projects with 100% less time spent manually generating reports. Adding AI-connected queries accelerates that visibility further.",{"type":172,"attrs":1016,"content":1017},{"level":276,"textAlign":58},[1018],{"text":1019,"type":106},"Profitability tracking in real time",{"type":102,"attrs":1021,"content":1023},{"textAlign":58,"key":1022},"p-55",[1024,1025,1031],{"text":969,"type":106},{"text":1026,"type":106,"marks":1027},"profitability features",[1028],{"type":197,"attrs":1029},{"href":1030,"uuid":58,"anchor":58,"target":665,"linktype":200},"https://www.teamwork.com/profitability-hub/",{"text":1032,"type":106}," in Teamwork.com let you set billable and cost rates, track budgets, and see margin data as work happens. The MCP server makes this data conversational: ask \"What's the margin on Project Z?\" and get a straight answer.",{"type":86,"attrs":1034},{"id":1035,"body":1036},"6cb68074-727a-4827-8ce8-916c319fb509",[1037],{"_uid":1038,"title":570,"content":1039,"component":152},"i-c6173a0e-0042-44ff-9b68-b221fee0cad6",{"type":83,"content":1040},[1041],{"type":102,"content":1042},[1043,1045,1051],{"text":1044,"type":106},"Combine ChatGPT's natural language queries with Teamwork.com's ",{"text":1046,"type":106,"marks":1047},"project health reports",[1048],{"type":197,"attrs":1049},{"href":1050,"uuid":58,"anchor":58,"target":58,"linktype":200},"https://www.teamwork.com/project-management-software/",{"text":1052,"type":106}," for a two-layer visibility system. ChatGPT handles ad hoc questions; the dashboard handles ongoing monitoring.",{"type":86,"attrs":1054},{"id":1055,"body":1056},"5378d0a0-1211-4072-b8ef-7486b1e141d5",[1057],{"_uid":1058,"text":1059,"ctaLink":1060,"ctaLabel":361,"component":1061,"openInNewTab":61,"backgroundColor":1062},"i-30ddd4a9-2409-4834-8cf7-2687a7e45b0c","Connect your projects, people, and profits in one AI-powered platform.",{"id":55,"url":359,"linktype":200,"fieldtype":360,"cached_url":359},"storyBannerCta","purple",{"type":172,"attrs":1064,"content":1065},{"level":174,"textAlign":58},[1066],{"text":1067,"type":106,"marks":1068},"FAQ",[1069,1071,1074],{"type":180,"attrs":1070},{"color":55},{"type":183,"attrs":1072},{"id":1073},"faq",{"type":109},{"type":172,"attrs":1076,"content":1077},{"level":276,"textAlign":58},[1078],{"text":1079,"type":106},"Can ChatGPT connect to an MCP server?",{"type":102,"attrs":1081,"content":1083},{"textAlign":58,"key":1082},"p-56",[1084],{"text":1085,"type":106},"Yes, ChatGPT supports MCP (Model Context Protocol) connections through its Apps & Connectors settings. This lets ChatGPT read from and, in some cases, write to external tools like Teamwork.com. You'll need a ChatGPT Plus, Pro, Business, Enterprise, or Edu plan to use connectors.",{"type":172,"attrs":1087,"content":1088},{"level":276,"textAlign":58},[1089],{"text":1090,"type":106},"How do ChatGPT connectors work?",{"type":102,"attrs":1092,"content":1094},{"textAlign":58,"key":1093},"p-57",[1095,1097,1101],{"text":1096,"type":106},"ChatGPT connectors use the ",{"text":194,"type":106,"marks":1098},[1099],{"type":197,"attrs":1100},{"href":199,"uuid":58,"anchor":58,"target":58,"linktype":200},{"text":1102,"type":106}," to establish a real-time link between ChatGPT and an external application. When you ask ChatGPT a question about your projects, it queries the connected tool's data through MCP and returns an answer based on live information, not its training data. For Teamwork.com, this means ChatGPT can pull task statuses, resource availability, time entries, and budget data directly.",{"type":172,"attrs":1104,"content":1105},{"level":276,"textAlign":58},[1106],{"text":1107,"type":106},"Do I need technical skills to set up the Teamwork.com MCP connector with ChatGPT?",{"type":102,"attrs":1109,"content":1111},{"textAlign":58,"key":1110},"p-58",[1112],{"text":1113,"type":106},"Nope! The setup is done entirely through ChatGPT's settings interface. You authorize the connection with your Teamwork.com account, and the connector is live within minutes. No API keys, no code, no developer involvement. ",{"type":172,"attrs":1115,"content":1116},{"level":276,"textAlign":58},[1117],{"text":1118,"type":106},"Is my project data safe when using ChatGPT with Teamwork.com?",{"type":102,"attrs":1120,"content":1122},{"textAlign":58,"key":1121},"p-59",[1123],{"text":1124,"type":106},"Yes. Teamwork.com is SOC 2 Type 2 certified, and your private data is never used to train third-party AI models. When ChatGPT queries your data through the connector, it accesses information in real time to answer your specific question. Teamwork.com's permission model still applies, so ChatGPT can only access data the connected user is authorized to see.",{"type":172,"attrs":1126,"content":1127},{"level":276,"textAlign":58},[1128],{"text":1129,"type":106},"What ChatGPT plan do I need to use MCP connectors?",{"type":102,"attrs":1131,"content":1133},{"textAlign":58,"key":1132},"p-60",[1134],{"text":1135,"type":106},"You need a ChatGPT Plus ($20/month), Pro ($200/month), Business, Enterprise, or Edu plan. The free plan does not support connectors or MCP integrations. For most professional services teams, the Plus plan provides enough functionality to get started.",{"id":1137,"alt":55,"filename":1138,"fieldtype":1139},173662870701045,"//a.storyblok.com/f/99519/0x0/451a1cb3d2/blog-image-project-management-software.png","asset",{"name":1141,"created_at":1142,"published_at":1143,"updated_at":1144,"id":1145,"uuid":1146,"content":1147,"slug":1160,"full_slug":1161,"sort_by_date":58,"position":1162,"tag_list":1163,"is_startpage":61,"parent_id":1164,"meta_data":58,"group_id":1165,"first_published_at":1166,"release_id":58,"lang":65,"path":1167,"alternates":1168,"default_full_slug":58,"translated_slugs":58,"_stopResolving":216},"Jordan Wellin","2023-08-07T20:50:45.519Z","2023-10-05T13:44:46.839Z","2025-08-26T11:28:14.980Z",351765890,"b08b4b43-afad-4d70-92cb-f0139052847d",{"bio":1148,"seo":1149,"_uid":1151,"name":1141,"role":1152,"picture":1153,"linkedin":1157,"component":1159},"Jordan is a Product Marketing Manager at Teamwork.com. 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started for free","Get started with Teamwork.com","BlogPostSidebarResourceCta","Master your projects, people, and profits - all in one place.",{"name":1215,"created_at":1216,"published_at":1217,"updated_at":1218,"id":1219,"uuid":1220,"content":1221,"slug":1228,"full_slug":1229,"sort_by_date":58,"position":1230,"tag_list":1231,"is_startpage":61,"parent_id":1232,"meta_data":58,"group_id":1233,"first_published_at":1234,"release_id":58,"lang":65,"path":58,"alternates":1235,"default_full_slug":58,"translated_slugs":58,"_stopResolving":216},"Product news","2023-08-07T22:25:57.640Z","2023-09-26T16:29:16.000Z","2023-09-26T15:31:04.405Z",351785470,"6f90e759-53c2-4e72-b344-d8e465a59b90",{"seo":1222,"_uid":1226,"component":1227},{"_uid":1223,"title":1224,"plugin":78,"og_image":55,"og_title":55,"description":1225,"twitter_image":55,"twitter_title":55,"og_description":55,"twitter_description":55},"0f095aec-0b4c-4670-abf8-e92d2f5b458b","See all product news blogs | Teamwork.com","Find blog articles 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